Nothing Special   »   [go: up one dir, main page]

Abdelmalki et al., 2018 - Google Patents

The fuzzy tracking control of output vector of double fed induction generator DFIG via T–S fuzzy model

Abdelmalki et al., 2018

View PDF
Document ID
241215701403318505
Author
Abdelmalki F
Ouaaline N
Publication year
Publication venue
International Journal of Intelligent Engineering and Systems

External Links

Snippet

The purpose of this paper is to ensure a tracking control of output state especially the active and reactive powers of doubly fed induction generator (DFIG) by using the approach of Parallel Distributed Compensation (PDC) of the fuzzy control type Takagie-Sugeno (TS) …
Continue reading at inass.org (PDF) (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • 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
    • 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
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only

Similar Documents

Publication Publication Date Title
Soued et al. Optimal blade pitch control for enhancing the dynamic performance of wind power plants via metaheuristic optimisers
Navarrete et al. Expert control systems implemented in a pitch control of wind turbine: A review
Ebadollahi et al. Wind turbine torque oscillation reduction using soft switching multiple model predictive control based on the gap metric and Kalman filter estimator
Tria et al. An integral sliding mode controller with super-twisting algorithm for direct power control of wind generator based on a doubly fed induction generator
Mohamed et al. Modified WCA-based adaptive control approach using balloon effect: Electrical systems applications
Laghridat et al. A novel adaptive active disturbance rejection control strategy to improve the stability and robustness for a wind turbine using a doubly fed induction generator
Mechter et al. Backstepping control of a wind turbine for low wind speeds
Abdelmalki et al. The fuzzy tracking control of output vector of double fed induction generator DFIG via T–S fuzzy model
Belabbas et al. Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator
Tidjani et al. Augmented robust TS fuzzy control based PMSG wind turbine improved with H∞ performance
Cheng et al. Dynamic optimization of rotor-side PI controller parameters for doubly-fed wind turbines based on improved recurrent neural networks under wind speed fluctuations
Yuan et al. The coordinated control of wind-diesel hybrid micro-grid based on sliding mode method and load estimation
Ayub et al. Nonlinear super-twisting based speed control of PMSG-ECS using higher order sliding mode control
Elnaghi et al. Adaptation of PI controller used with combination of perturbation and observation method and feedback method for DFIG
Tamaarat Active and reactive power control for DFIG using PI, fuzzy logic and self-tuning PI fuzzy controllers
Belmokhtar et al. Online parameter identification for a DFIG driven wind turbine generator based on recursive least squares algorithm
Sarsembayev et al. Maximum power tracking of variable‐speed wind energy conversion systems based on a near‐optimal servomechanism control system
Soukkou et al. Adaptive command filtered backstepping control and its application to permanent magnet synchronous generator based wind energy conversion system
Athanasius et al. Design of robust controller for wind turbines
Mahmud et al. ANFISPID-based voltage regulation strategy for grid-tied renewable DG system with ESS
Nguyen et al. Fuzzy adaptive output feedback control strategy for standalone wind energy conversion systems
Abid et al. Direct fuzzy adaptive control based on sliding surface for a class of SISO non-linear systems
Kamal et al. Wind farm two-level control for energy management
Shen et al. Power control of wind energy conversion system under multiple operating regimes with deep residual recurrent neural network: theory and experiment
Boulkhrachef et al. Maximum power point tracking of a wind turbine based on artificial neural networks and fuzzy logic controllers