Advanced control of PMSG-based wind energy conversion system applying linear matrix inequality approach

2021 ◽  
pp. 235-253
Author(s):  
Chakib Chatri ◽  
Mohammed Ouassaid
Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2350 ◽  
Author(s):  
Guodong You ◽  
Tao Xu ◽  
Honglin Su ◽  
Xiaoxin Hou ◽  
Jisheng Li

The problem of robust fault-tolerant control for actuators of nonlinear systems with uncertain parameters is studied in this paper. Takagi–Sugeno (T-S) fuzzy model is used to describe the wind energy conversion system (WECS). Fuzzy dedicated observer (FDO) and fuzzy proportional integral observer (FPIO) are established to reconstruct the system state and actuator fault, respectively. Fuzzy Robust Scheduling Fault-Tolerant Controller (FRSFTC) is designed by parallel distributed compensation (PDC) method, so as to realize the purpose of active fault tolerance for actuator faults and ensure the robust stability of the system. The stability of the closed-loop system is proved by Taylor series, Lyapunov function, and Linear Matrix Inequalities (LMIs). Finally, the simulation results verify that the proposed method is feasible and effective applied to WECS with doubly fed induction generators (DFIG).


Author(s):  
Mohammed Jamal Alden ◽  
Xin Wang

Wind energy is the fastest growing and most promising renewable energy resource. A robust and resilient delay independent control framework with a H∞ performance objective for a time delayed variable speed permanent magnet synchronous generator based wind energy conversion system is proposed. Based on the nonlinear dynamics, a third order linearized model for the wind energy conversion system is developed. It is assumed that the system has unstructured bounded uncertainties and it is exposed to bounded L2 type of disturbances. Moreover, fixed time delays are assumed to be existed in the input and state feedback signals. Linear matrix inequalities are utilized to convert the problem of controller existence into a convex optimization problem. Computer simulations conducted in Matlab verified the effectiveness of the proposed control in achieving asymptotic stability and meet the H∞ performance objective requirements.


MethodsX ◽  
2021 ◽  
Vol 8 ◽  
pp. 101298
Author(s):  
José-Genaro González-Hernández ◽  
Rubén Salas-Cabrera ◽  
Roberto Vázquez-Bautista ◽  
Luis-Manuel Ong-de-la-Cruz

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