[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Vaezi et al., 2013 - Google Patents

Multiple-model adaptive estimation of a hydraulic wind power system

Vaezi et al., 2013

View PDF
Document ID
9964219623501670262
Author
Vaezi M
Izadian A
Publication year
Publication venue
IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society

External Links

Snippet

Nonlinear model of hydraulic wind power system operates on a wide spectrum of operating points such as random wind speed disturbances and applied control commands. Thus, one way to linearize this model is to use multiple linear models representing the whole range of …
Continue reading at citeseerx.ist.psu.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric

Similar Documents

Publication Publication Date Title
Vaezi et al. Multiple-model adaptive estimation of a hydraulic wind power system
Jin et al. Adaptive fault-tolerant consensus for a class of uncertain nonlinear second-order multi-agent systems with circuit implementation
CN103529698B (en) Generator Governor parameter identification method
Kordestani et al. A modular fault diagnosis and prognosis method for hydro-control valve system based on redundancy in multisensor data information
Yu et al. An unscented particle filtering approach to decentralized dynamic state estimation for DFIG wind turbines in multi-area power systems
CN107066712B (en) Water turbine model parameter identification method and device based on guide vane opening-power characteristics
CN105209983B (en) The power drive system of Model Predictive Control with mechanical variables
Simani et al. Data–driven techniques for the fault diagnosis of a wind turbine benchmark
CN106208824A (en) Multi-motor synchronous control method based on active disturbance rejection iterative learning
Djukanovic et al. Neural-net based coordinated stabilizing control for the exciter and governor loops of low head hydropower plants
Roman et al. Fictitious reference iterative tuning of discrete-time model-free control for tower crane systems
De Martin et al. Enhanced Particle Filter framework for improved prognosis of electro-mechanical flight controls actuators
Ansari et al. Wind power forecasting using artificial neural network
Ling et al. ANFIS modeling and Direct ANFIS Inverse control of an Electro-Hydraulic Actuator system
Burian et al. Investigation of the pump unit control system with the neural network productivity estimator
Schulte et al. Estimation of multiple faults in hydrostatic wind turbines using Takagi-Sugeno sliding mode observer with weighted switching action
Youssef et al. Piecewise sliding mode decoupling fault tolerant control system
Simani et al. Fuzzy control techniques applied to wind turbine systems and hydroelectric plants
Fasol et al. Simulation, controller design and field tests for a hydropower plant—A case study
Simani et al. Self--Tuning Control Techniques for Wind Turbine and Hydroelectric Plant Systems
Marumo et al. Intelligent modeling and control of a pneumatic motor
Kamwa et al. Sensorless ANN-based speed estimation of synchronous generators: Improved performance through physically motivated pre-filters
Zhang et al. Multiple U-model control of uncertain discrete-time nonlinear systems
Pazera et al. Simultaneous estimation of multiple actuator anc sensor faults for takagi-sugeno fuzzy systems
Lü et al. Identification of Hammerstein systems with asymmetric dead-zone nonlinearities using canonical parameterized model