CN108415247B - Time scale separation aircraft elastomer robust control method based on nominal information - Google Patents
Time scale separation aircraft elastomer robust control method based on nominal information Download PDFInfo
- Publication number
- CN108415247B CN108415247B CN201810124027.XA CN201810124027A CN108415247B CN 108415247 B CN108415247 B CN 108415247B CN 201810124027 A CN201810124027 A CN 201810124027A CN 108415247 B CN108415247 B CN 108415247B
- Authority
- CN
- China
- Prior art keywords
- formula
- aircraft
- control
- design
- input
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 229920001971 elastomer Polymers 0.000 title claims abstract description 20
- 239000000806 elastomer Substances 0.000 title claims abstract description 20
- 238000000926 separation method Methods 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title claims abstract description 9
- 238000011217 control strategy Methods 0.000 claims abstract description 8
- 238000013461 design Methods 0.000 claims description 31
- 238000013459 approach Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 230000014509 gene expression Effects 0.000 claims description 3
- 238000013016 damping Methods 0.000 claims description 2
- 230000005624 perturbation theories Effects 0.000 claims description 2
- 230000001629 suppression Effects 0.000 abstract description 2
- 230000008878 coupling Effects 0.000 abstract 1
- 238000010168 coupling process Methods 0.000 abstract 1
- 238000005859 coupling reaction Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005489 elastic deformation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses a time scale separation aircraft elastomer robust control method based on nominal information, belongs to the field of aircraft control, and is used for solving the control problem that a slow time scale has uncertain time varying information when the rigid-flexible mode separation control of the conventional elastic hypersonic aircraft is carried out. Firstly, defining a fast and slow time scale coupling form of an object dynamic model, completing time scale separation based on a singular perturbation algorithm, and separating a rigid mode and an elastic mode in the dynamic model; secondly, designing a robust control strategy based on nominal information aiming at a slow time scale part representing a rigid mode of the system, and finishing compensation control by estimating an upper bound of uncertain time-varying information to realize height instruction tracking; designing a sliding mode control strategy aiming at a fast time scale part representing the elastic mode of a system, and aiming at realizing elastic mode suppression; and finally, combining the two control inputs into one to be used as an overall rudder deflection to realize the effective control of the height and the elastic mode of the aircraft.
Description
Technical Field
The invention relates to a hypersonic aircraft elastomer robust control technology, in particular to a time scale separation hypersonic aircraft elastomer robust control strategy based on nominal information, and belongs to the field of aircraft control.
Background
At present, most scholars regard an object model as a pure rigid body to carry out algorithm design when carrying out control algorithm research on a hypersonic aircraft, the processing idea can simplify the object model and grasp main contradictions so as to verify a control algorithm, however, the influence of an elastic mode becomes more important along with the lightening of hypersonic aircraft materials and the faster development of speed, and the control algorithm designed aiming at a rigid body cannot meet engineering requirements. The hypersonic aircraft elastomer is a typical control object with a multi-time scale phenomenon, so that a singular perturbation algorithm can be adopted to perform model fast and slow time scale separation to complete decoupling of a rigid mode and a flexible mode.
In the hypersonic aircraft dynamic characteristic analysis and control law design with model parameter uncertainty (Sun Chong, Square cluster, Yuanjian, Ming Jian, Hei's university of northwest's university, vol. 30, No. 4, 2012), uncertainty in an elastomer model of the hypersonic aircraft is considered, and a control algorithm based on feedback linearization is designed.
Disclosure of Invention
In order to solve the problem that the existing control algorithm designed for a rigid body object cannot meet the engineering application of the existing hypersonic aircraft under the influence of elastic deformation, the invention provides a time scale separation hypersonic aircraft elastomer robust control strategy based on nominal information. Firstly, performing fast and slow time scale separation on hypersonic aircraft elastomer dynamics, and processing a basic idea of a multi-time scale problem according to a singular perturbation theory; secondly, respectively designing a control algorithm for the dynamic model after time scale separation, designing an uncertain upper bound estimation strategy by considering the uncertainty of the slow time scale part, realizing compensation control, and designing a sliding mode control strategy for the elastic vibration problem of the fast time scale part; and finally, combining control input as a rudder deflection command to realize height tracking and elastic mode suppression.
A time scale separation aircraft elastomer robust control method based on nominal information is particularly suitable for hypersonic aircraft elastomers, and is realized through the following steps:
(a) consider the following hypersonic aircraft elastomer model:
wherein,
in the above formula, V represents velocity, γ represents track pitch, h represents altitude, α represents angle of attack, q represents pitch angle velocity, δeIs the rudder deflection angle, and deltae=δes+δef,δesFor slow-varying time-scale control input, deltaefFor the control input of the fast time scale, subsequent design is carried out, wherein phi is the opening of the throttle valve, and eta is the elastic mode;it is shown that the dynamic pressure, CTare all the pneumatic parameters, and the pneumatic parameters,representing the mean aerodynamic chord, S representing the aerodynamic reference area, zTIs a thrust moment; t, D, L and MyyRespectively representing thrust, resistance, lift and pitching rotation moment; m, IyyRepresenting the moment of inertia of the mass, pitch axis, N(·)Is a modal parameter, N is a generalized force, ζ is a damping ratio, and ω is a natural frequency;
defining a height tracking error eh=h-hdDesign track angle command gammad:
In the formula, hdFor the height instructions, given by the designer,being height-orderedFirst order differential, kh>0,ki>0 is given by the designer; considering that the track angle change of the cruise section is small and the first-order differential of the track angle instructionTaking the value as zero;
get x1=γ,x2=θ,x3Q, θ + γ represents a pitch angle; equations (3) to (5) are written as follows:
wherein,
(b) defining:ρσ=η,ρB6=β1then equations (12), (14), (6) are further modified as:
when ρ is 0, expressions (15), (16), and (17) are expressed as follows:
wherein's' represents a slow-change subsystem;
is shown by the formula (20)
When formula (21) is substituted for formula (19), formulae (18), (13), and (19) are as follows:
the product of the thrust term and the sine of the angle of attack is very small compared to the lift term, and neglecting this, equations (22), (24) are expanded to
Wherein,
wherein, Xs=[x1s,x2s,x3s]T;
defining: psi1=σ-σs,Then formula (6) is converted into:
substituting equation (21) into equation (28) yields:
equations (29), (30) are written as:
wherein psi ═ psi1,ψ2]T,
(c) Defining the velocity tracking error:
in the formula, VdThe speed command is given by the designer. The throttle opening is designed as follows:
in the formula, kpV>0、kiV>0、kdV> 0 is given by the designer.
(d) Equations (25), (23), (26) are written as follows:
wherein f is10,g10,f30,g30Respectively, nominal values of the non-linear terms, i.e. f1=f10+Δf1,g1=g10+Δg1,f3=f30+Δf3,g3=g30+Δg3;
Let D1=Δf1+Δg1x2s,D3=Δf3+Δg3δesThen equation (34) is written as follows:
definition e1=x1s-x1dAnd calculating the error differential:
designing virtual control quantities
In the formula, k1The normal number is designed for the man-made,as an uncertainty term D1Upper bound D1mEstimate of, ω0Design the normal number for humanThe update law form is as follows:
where ρ is1And delta1Designing a normal number for people; designing a first order filter
In the formula, epsilon1For artificially designing a normal number, further defining the pitch angle tracking error as:
e2=x2s-x2c (40)
is differentiated by
Designing virtual control quantities
In the formula, k2Designing a first-order filter for artificially designing the normal number
In the formula, epsilon3For design normality, defining pitch angle speed tracking error:
e3=x3s-x3c (44)
in differential form of
Design of slowly time-varying rudder deflection control law
In the formula, k3The normal number is designed for the man-made,as an uncertainty term D3Upper bound D3mAn estimated value of (d); design ofThe adaptive update law is as follows:
where ρ is3And delta3Designing a normal number for people;
(e) the sliding mode switching function is chosen as follows:
c=Gψ (48)
in the formula, G is belonged to R2*2To design a positive definite matrix, equation (31) is combined to obtain a differential form of equation (48)
Designing fast-varying subsystem rudder deflection control input
δef=-(GQf)+(GPfψ+znsgn(c)) (50)
Wherein x is+Represents the molar penrose inverse of x, zn∈R2*2For the positive definite matrix to be designed,
(f) system rudder deflection control input
(g) From the resulting rudder deflection angle deltaeAnd the throttle opening phi returns to the dynamic models (1) to (6) of the hypersonic aircraft to control the height, the elastic mode and the speed.
And the control comprises adjusting an input value to be optimized to enable the altitude to approach the acquired aircraft altitude instruction, the speed to approach the acquired aircraft speed instruction and the elastic mode to tend to be stable.
Compared with the prior art, the invention has the beneficial effects that:
(1) rigid-flexible mode decoupling of a hypersonic aircraft elastomer dynamic model is realized by adopting a singular perturbation algorithm, so that rigid-flexible modes are respectively controlled;
(2) and the upper bound of the uncertain information is estimated to carry out compensation control strategy design, so that the robustness of the control algorithm is improved.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the time scale isolated aircraft elastomer robust control method based on nominal information of the present invention.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below with reference to the accompanying drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only some, but not all embodiments of the invention. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The invention discloses a time scale separation hypersonic aircraft elastomer robust control strategy based on nominal information, and the specific embodiment analysis is as follows by combining with a figure 1:
(a) consider the following hypersonic aircraft elastomer model:
wherein,CT(α)=-2421.6α-100.9,
in the above formula, V represents velocity, γ represents track pitch, h represents altitude, α represents angle of attack, q represents pitch angle velocity, δeIs the rudder deflection angle, and deltae=δes+δef,δesFor slow-varying time-scale control input, deltaefFor the control input of the fast time scale, subsequent design is carried out, wherein phi is the opening of the throttle valve, and eta is the elastic mode;it is shown that the dynamic pressure, CTare all the pneumatic parameters, and the pneumatic parameters,denotes the mean aerodynamic chord length, S-17 denotes the aerodynamic reference area, zTThe thrust moment is 8.36; t, D, L and MyyRespectively representing thrust, resistance, lift and pitching rotation moment; m is 300, Iyy=500000,Nα=4573.7,N0117.52, N is generalized force, ζ is 0.05, ω is 16.0214;
defining a height tracking error eh=h-hdDesign track angle command gammad:
In the formula, hdFor the height instructions, given by the designer,is the first differential of the height command, kh=0.5,ki0.05; considering that the track angle change of the cruise section is small and the first-order differential of the track angle instructionTaking the value as zero;
get x1=γ,x2=θ,x3Q, θ + γ represents a pitch angle; equations (3) to (5) are written as follows:
wherein,
(b) defining:ρσ=η,ρB6=β1then equations (12), (14), (6) are further modified as:
when ρ is 0, expressions (15), (16), and (17) are expressed as follows:
wherein's' represents a slow-change subsystem;
is shown by the formula (20)
When formula (21) is substituted for formula (19), formulae (18), (13), and (19) are as follows:
the product of the thrust term and the sine of the angle of attack is very small compared to the lift term, and neglecting this, equations (22), (24) are expanded to
Wherein,
wherein, Xs=[x1s,x2s,x3s]T;
defining: psi1=σ-σs,Then formula (6) is converted into:
substituting equation (21) into equation (28) yields:
equations (29), (30) are written as:
wherein psi ═ psi1,ψ2]T,
(c) Defining the velocity tracking error:
in the formula, VdThe speed command is given by the designer. The throttle opening is designed as follows:
in the formula, kpV=0.5、kiV=0.001、kdV=0.01。
(d) Equations (25), (23), (26) are written as follows:
wherein f is10=-0.0036,g10=0.0535,f30=0.1835,g30-1.2044 is the nominal value of each non-linear term, respectively, i.e., f1=f10+Δf1,g1=g10+Δg1,f3=f30+Δf3,g3=g30+Δg3;
Let D1=Δf1+Δg1x2s,D3=Δf3+Δg3δesThen equation (34) is written as follows:
definition e1=x1s-x1dAnd calculating the error differential:
designing virtual control quantities
In the formula, k1=0.8,As an uncertainty term D1Upper bound D1mEstimate of, ω01, design asThe update law form is as follows:
where ρ is1=15,δ1Design the first order filter at 0.1
In the formula, epsilon1The pitch tracking error is further defined as 0.05:
e2=x2s-x2c (40)
is differentiated by
Designing virtual control quantities
In the formula, k20.8, design the first order filter
In the formula, epsilon3Define the pitch rate tracking error as 0.05:
e3=x3s-x3c (44)
in differential form of
Design of slowly time-varying rudder deflection control law
In the formula, k3=10,As an uncertainty term D3Upper bound D3mAn estimated value of (d); design ofThe adaptive update law is as follows:
where ρ is3=15,δ3=0.1;
(e) The sliding mode switching function is chosen as follows:
c=Gψ (48)
in the formula,combining equation (31) to obtain a differential form of equation (48)
Designing fast-varying subsystem rudder deflection control input
δef=-(GQf)+(GPfψ+znsgn(c)) (50)
Wherein x is+Represents the molar penrose inverse of x,
(f) system rudder deflection control input
(g) From the resulting rudder deflection angle deltaeAnd the throttle opening phi returns to the dynamic models (1) to (6) of the hypersonic aircraft to control the height, the elastic mode and the speed.
It should be noted that the aircraft altitude command and the aircraft speed command given by the designer in the above description of the present invention are target values, such as the specification "k2Artificially designed normal number and kpV>0、kiV>0、kdVThe designer gives other parameters to be optimized, such as '0' and the like, and the invention aims to adjust the parameter values to be optimized so that in the final dynamic model, the altitude approaches the acquired aircraft altitude command, the speed approaches the acquired aircraft speed command, and the elastic mode tends to be stable, namely the result tends to be equal to or equal to a target value, and the parameter values given in the specific embodiment of the specification are actually the final result/optimal result obtained through calculation.
Finally, it should be pointed out that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (3)
1. A time scale separation aircraft elastomer robust control method based on nominal information is characterized by comprising the following steps:
step one, constructing the dynamic model of the aircraft elastomer:
wherein,
in the above formula, V represents velocity, γ represents track pitch, h represents altitude, α represents angle of attack, q represents pitch angle velocity, δeIs the rudder deflection angle, and deltae=δes+δef,δesFor slow-varying time-scale control input, deltaefThe method comprises the following steps of inputting control for a fast time scale, wherein phi is the opening degree of a throttle valve, and eta is an elastic mode;it is shown that the dynamic pressure,CTare all the pneumatic parameters, and the pneumatic parameters,representing the mean aerodynamic chord, S representing the aerodynamic reference area, zTIs a thrust moment; t, D, L and MyyRespectively representing thrust, resistance, lift and pitching rotation moment; m, IyyRepresenting the moment of inertia of the mass, pitch axis, respectively, N(·)Is a modal parameter, N is a generalized force, ζ is a damping ratio, and ω is a natural frequency;
step two, acquiring an aircraft height instruction, dividing the aircraft rudder deflection input into a slow-change subsystem rudder deflection control input and a fast-change subsystem rudder deflection control input according to a singular perturbation theory, setting a sliding mode control function aiming at the fast-change subsystem rudder deflection control input, and determining the input of the sliding mode control function; designing a robust control strategy based on nominal information for the rudder deflection control input of the slowly-varying subsystem, and specifically comprising the following steps:
defining a height tracking error eh=h-hdDesign track angle command gammad:
In the formula, hdIn order to obtain the aircraft altitude instruction,is the first differential of the height command, kh>0,ki>0 is the input value to be optimized; considering that the track angle change of the cruise section is small and the first-order differential of the track angle instructionTaking the value as zero;
get x1=γ,x2=θ,x3Q, θ + γ represents a pitch angle; equations (3) to (5) are written as follows:
wherein,
(b) defining:ρσ=η,ρB6=β1then equations (12), (14), (6) are modified as:
when ρ is 0, expressions (15), (16), and (17) are expressed as follows:
wherein's' represents a slow-change subsystem;
is shown by the formula (20)
When formula (21) is substituted for formula (19), formulae (12) to (14) are as follows:
the product of the thrust term and the sine of the angle of attack is very small compared to the lift term, and neglecting this, equations (22), (24) are expanded to
Wherein,
wherein, Xs=[x1s,x2s,x3s]T;
defining: psi1=σ-σs,Then formula (6) is converted into:
substituting equation (21) into equation (28) yields:
equations (29), (30) are written as:
wherein psi ═ psi1,ψ2]T,
Equations (25), (23), (26) are written as follows:
wherein f is10,g10,f30,g30Respectively, nominal values of the non-linear terms, i.e. f1=f10+Δf1,g1=g10+Δg1,f3=f30+Δf3,g3=g30+Δg3;
Let D1=Δf1+Δg1x2s,D3=Δf3+Δg3δesThen equation (34) is written in the form:
definition e1=x1s-x1dAnd calculating the error differential:
the design virtual control quantity is as follows:
in the formula, k1For the design input to be optimized, a normal number,as an uncertainty term D1Upper bound D1mEstimate of, ω0For the design input to be optimized, for the normal number, designThe update law form is as follows:
where ρ is1And delta1Inputting the design to be optimized as a normal number; designing a first order filter
In the formula, epsilon1For the design input to be optimized, for the normal number, the pitch angle tracking error is defined as:
e2=x2s-x2c (40)
is differentiated by
The design virtual control quantity is as follows:
in the formula, k2Designing a first order filter for the design input to be optimized, for the normal number
In the formula, epsilon3For the design input to be optimized, the pitch angle velocity tracking error is defined for the normal number:
e3=x3s-x3c (44)
is differentiated by
Therefore, the slowly-varying time scale rudder deflection control law is designed
In the formula, k3For the design input to be optimized, a normal number,as an uncertainty term D3Upper bound D3mAn estimated value of (d); design ofThe adaptive update law is as follows:
where ρ is3And delta3Inputting the design to be optimized as a normal number;
determining the rudder deflection control input of the fast-changing subsystem according to the sliding mode control function comprises the following steps:
the sliding mode switching function is chosen as follows:
c=Gψ (48)
in the formula, G is belonged to R2*2To design the positive definite matrix 1, equation (31) is combined to obtain a differential form of equation (48)
Designing fast-varying subsystem rudder deflection control input
δef=-(GQf)+(GPfψ+znsgn(c)) (50)
Wherein x is+Represents the molar penrose inverse of x, zn∈R2*2A positive definite matrix 2 is to be designed;
determining the system rudder deflection control input as the sum of the slow-change subsystem rudder deflection control input and the fast-change subsystem rudder deflection control input;
step four, acquiring an aircraft speed instruction, defining a speed tracking error according to the aircraft speed instruction, and determining the opening of a throttle valve;
step five, according to the obtained rudder deflection angle deltaeAnd the throttle opening phi returns to the dynamic model formulas (1) to (6) of the hypersonic aircraft to control the altitude, the elastic mode and the speed, wherein the control comprises the adjustment of an input value to be optimized to enable the altitude to approach the acquired aircraft altitude instruction, the speed to approach the acquired aircraft speed instruction and the elastic mode to tend to be stable.
2. The time scale isolated aircraft elastomer robust control method based on nominal information of claim 1, wherein in step four, said determining a throttle opening comprises:
defining the velocity tracking error:
in the formula, VdFor the speed command, given by the designer, the throttle opening is designed as follows:
in the formula, kpV>0、kiV>0、kdV> 0 is the input value to be optimized.
3. The time scale separation aircraft elastomer robust control method based on nominal information as claimed in claim 1, wherein in step three, the system rudder deflection control input is:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810124027.XA CN108415247B (en) | 2018-02-07 | 2018-02-07 | Time scale separation aircraft elastomer robust control method based on nominal information |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810124027.XA CN108415247B (en) | 2018-02-07 | 2018-02-07 | Time scale separation aircraft elastomer robust control method based on nominal information |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108415247A CN108415247A (en) | 2018-08-17 |
CN108415247B true CN108415247B (en) | 2019-12-20 |
Family
ID=63126980
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810124027.XA Active CN108415247B (en) | 2018-02-07 | 2018-02-07 | Time scale separation aircraft elastomer robust control method based on nominal information |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108415247B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109709978B (en) * | 2018-11-26 | 2021-12-10 | 北京空天技术研究所 | Hypersonic aircraft guidance control integrated design method |
CN110456643A (en) * | 2019-07-24 | 2019-11-15 | 西北工业大学 | Elastic Vehicles historical data learning adaptive control method based on singular perturbation |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102880052A (en) * | 2012-09-29 | 2013-01-16 | 西北工业大学 | Time scale function decomposition based hypersonic aircraft actuator saturation control method |
CN105182742A (en) * | 2015-07-23 | 2015-12-23 | 北京航空航天大学 | Elastic body aircraft adaptive constrained tracking control indirect method |
CN105653827A (en) * | 2016-03-17 | 2016-06-08 | 北京工业大学 | Method for designing Terminal sliding mode controller of hypersonic vehicle |
CN107390531A (en) * | 2017-09-05 | 2017-11-24 | 西北工业大学 | The hypersonic aircraft control method of parameter learning finite time convergence control |
CN107450324A (en) * | 2017-09-05 | 2017-12-08 | 西北工业大学 | Consider the hypersonic aircraft adaptive fusion method of angle of attack constraint |
CN107479384A (en) * | 2017-09-05 | 2017-12-15 | 西北工业大学 | The non-backstepping control method of hypersonic aircraft neutral net Hybrid Learning |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8112368B2 (en) * | 2008-03-10 | 2012-02-07 | The Boeing Company | Method, apparatus and computer program product for predicting a fault utilizing multi-resolution classifier fusion |
FR3021107B1 (en) * | 2014-05-16 | 2018-01-26 | Thales | METHOD FOR AIDING NAVIGATION OF AN AIRCRAFT WITH CORRELATION OF DYNAMIC INFORMATION WITH A 4D FLIGHT TRACK |
-
2018
- 2018-02-07 CN CN201810124027.XA patent/CN108415247B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102880052A (en) * | 2012-09-29 | 2013-01-16 | 西北工业大学 | Time scale function decomposition based hypersonic aircraft actuator saturation control method |
CN105182742A (en) * | 2015-07-23 | 2015-12-23 | 北京航空航天大学 | Elastic body aircraft adaptive constrained tracking control indirect method |
CN105653827A (en) * | 2016-03-17 | 2016-06-08 | 北京工业大学 | Method for designing Terminal sliding mode controller of hypersonic vehicle |
CN107390531A (en) * | 2017-09-05 | 2017-11-24 | 西北工业大学 | The hypersonic aircraft control method of parameter learning finite time convergence control |
CN107450324A (en) * | 2017-09-05 | 2017-12-08 | 西北工业大学 | Consider the hypersonic aircraft adaptive fusion method of angle of attack constraint |
CN107479384A (en) * | 2017-09-05 | 2017-12-15 | 西北工业大学 | The non-backstepping control method of hypersonic aircraft neutral net Hybrid Learning |
Non-Patent Citations (5)
Title |
---|
Aircraft Pitch Attitude Adaptive Control via Singular Perturbation Technique;V.D.Yurkevich;《Progress in Flight Dynamics, GNC and Avionics》;20130630;第6卷;第175-188页 * |
Neural control of hypersonic flight vehicle model via time-scale decomposition with throttle setting constraint;Bin Xu;《Nonlinear Dynamics》;20130507;第73卷(第3期);第1849-1861页 * |
Two-Time-Scale Longitudinal Control of Airplanes Using Singular Perturbation;Fu-Chuang Chen;《Journal of Guidance, Control and Dynamics》;19901231;第13卷(第6期);第952-960页 * |
应用时标分离和动态逆方法设计飞行器的姿态控制系统;武立军;《现代防御技术》;20070831;第35卷(第4期);第55-58页 * |
弹性飞行器飞行动力学建模研究;郭东;《空气动力学学报》;20130831;第31卷(第4期);第413-419页 * |
Also Published As
Publication number | Publication date |
---|---|
CN108415247A (en) | 2018-08-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108333939B (en) | Time scale separation aircraft elastomer intelligent control method based on neural network | |
CN107450324B (en) | Consider the hypersonic aircraft adaptive fusion method of angle of attack constraint | |
CN108303889B (en) | Time scale separation aircraft elastomer control method based on nonlinear information | |
CN107479384B (en) | The non-backstepping control method of hypersonic aircraft neural network Hybrid Learning | |
CN108828957B (en) | Aircraft overall situation finite time neural network control method based on handover mechanism | |
CN111665857B (en) | Variant aircraft control method based on composite intelligent learning | |
CN111679583B (en) | Adaptive control method of variant aircraft based on aerodynamic parameter estimation | |
CN110456643A (en) | Elastic Vehicles historical data learning adaptive control method based on singular perturbation | |
CN107390531B (en) | The hypersonic aircraft control method of parameter learning finite time convergence control | |
CN107479383A (en) | Hypersonic aircraft neutral net Hybrid Learning control method based on robust designs | |
CN110320794A (en) | Elastic Vehicles singular perturbation Hybrid Learning control method based on disturbance-observer | |
CN108762098B (en) | Non-minimum phase aircraft neural network control method based on Hybrid Learning | |
CN107065544B (en) | hypersonic vehicle neural network control method based on attack angle power function | |
CN102880052A (en) | Time scale function decomposition based hypersonic aircraft actuator saturation control method | |
CN110320807B (en) | Elastic aircraft data screening self-adaptive control method based on singular perturbation decomposition | |
CN109164708B (en) | Neural network self-adaptive fault-tolerant control method for hypersonic aircraft | |
CN110308657A (en) | Elastic Vehicles Global robust intelligent control method based on singular perturbation strategy | |
CN109062234A (en) | A kind of non-minimum phase aircraft Hybrid Learning sliding-mode control | |
CN108415247B (en) | Time scale separation aircraft elastomer robust control method based on nominal information | |
CN108427428B (en) | Self-adaptive sliding mode variable structure spacecraft attitude control method based on improved iterative algorithm | |
CN110456642A (en) | Elastic Vehicles robust finite-time control method based on Singular Perturbation Analysis | |
CN110488854B (en) | Rigid aircraft fixed time attitude tracking control method based on neural network estimation | |
CN110347036A (en) | The autonomous wind resistance intelligent control method of unmanned plane based on fuzzy sliding mode tracking control | |
CN113110540B (en) | Elastomer aircraft global finite time control method based on time scale decomposition | |
CN110376887B (en) | Aircraft discrete sliding mode intelligent control method based on time-varying sliding mode gain |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |