Boukhlouf et al., 2023 - Google Patents
Hardware-in-the-loop implementation of an unknown input observer for synchronous reluctance motorBoukhlouf et al., 2023
- Document ID
- 7636537352085591845
- Author
- Boukhlouf A
- Hammoudi M
- Saadi R
- Benbouzid M
- Publication year
- Publication venue
- ISA transactions
External Links
Snippet
In this paper, we design a proportional integral observe for a nonlinear synchronous reluctance motor described by a Takagi–Sugeno multi-model. In this design, both states and unknown inputs are estimated simultaneously. First, the mathematical nonlinear model of …
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/06—Rotor flux based control involving the use of rotor position or rotor speed sensors
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/12—Observer control, e.g. using Luenberger observers or Kalman filters
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Sami et al. | Integral super twisting sliding mode based sensorless predictive torque control of induction motor | |
Yang et al. | Flux immunity robust predictive current control with incremental model and extended state observer for PMSM drive | |
Zhang et al. | Performance evaluation of an improved model predictive control with field oriented control as a benchmark | |
Boukhlouf et al. | Hardware-in-the-loop implementation of an unknown input observer for synchronous reluctance motor | |
Xia et al. | Robust speed and current control with parametric adaptation for surface-mounted PMSM considering system perturbations | |
Mohammed et al. | Improved iterative learning control strategy for surface-mounted permanent magnet synchronous motor drives | |
Li et al. | Extended state observer based current-constrained controller for a PMSM system in presence of disturbances: Design, analysis and experiments | |
Xu et al. | Robust three‐vector‐based low‐complexity model predictive current control with supertwisting‐algorithm‐based second‐order sliding‐mode observer for permanent magnet synchronous motor | |
Gao et al. | A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer | |
Elgbaily et al. | Genetic and particle swarm optimization algorithms based direct torque control for torque ripple attenuation of induction motor | |
Mansouri et al. | Genetic algorithm optimized robust nonlinear observer for a wind turbine system based on permanent magnet synchronous generator | |
Dang et al. | Neuro-fuzzy control of interior permanent magnet synchronous motors: Stability analysis and implementation | |
Shen et al. | Application of an improved ADRC controller based on the double closed loop dynamic disturbance compensation in PMSM | |
Wei et al. | Model-free predictive current control using extended affine ultralocal for PMSM drives | |
Ding et al. | Disturbance suppression for PMSM by a non‐linear composite controller based on two‐channel strategy | |
Li et al. | Virtual reference-based fuzzy noncascade speed control for PMSM systems with unmatched disturbances and current constraints | |
Parimalasundar et al. | Artificial Neural Network‐Based Experimental Investigations for Sliding Mode Control of an Induction Motor in Power Steering Applications | |
Shiravani et al. | An improved predictive current control for IM drives | |
Sabzalian et al. | New approach to control the induction motors based on immersion and invariance technique | |
Smidt Gabbi et al. | Discrete‐time sliding mode control based on disturbance observer applied to current control of permanent magnet synchronous motor | |
Liu et al. | Decoupling control of permanent magnet synchronous motor based on parameter identification of fuzzy least square method | |
Chebaani et al. | Sensorless finite-state predictive torque control of induction motor fed by four-switch inverter using extended Kalman filter | |
Wei et al. | Model-Free Predictive Control Using Sinusoidal Generalized Universal Model for PMSM Drives | |
Mohamed et al. | New hybrid sensorless speed of a non-salient pole PMSG coupled to wind turbine using a modified switching algorithm | |
Sabir et al. | Induction motor speed control using reduced-order model |