Genetic Algorithm based Sliding Mode Controller for High-Performance PV Source Emulator

2020 ◽  
Vol 12 (01-Special Issue) ◽  
pp. 394-406
Author(s):  
Alaoui Mustapha
2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
M. J. Mahmoodabadi ◽  
A. Bagheri ◽  
N. Nariman-zadeh ◽  
A. Jamali ◽  
R. Abedzadeh Maafi

This paper presents Pareto design of decoupled sliding-mode controllers based on a multiobjective genetic algorithm for several fourth-order coupled nonlinear systems. In order to achieve an optimum controller, at first, the decoupled sliding mode controller is applied to stablize the fourth-order coupled nonlinear systems at the equilibrium point. Then, the multiobjective genetic algorithm is applied to search the optimal coefficients of the decoupled sliding-mode control to improve the performance of the control system. Considered objective functions are the angle and distance errors. Finally, the simulation results implemented in the MATLAB software environment are presented for the inverted pendulum, ball and beam, and seesaw systems to assure the effectiveness of this technique.


2019 ◽  
Vol 142 (3) ◽  
Author(s):  
Ali Darvish Falehi

Abstract The doubly fed induction generator (DFIG)-based wind turbine as a nonlinear, compound, and multivariable time-varying system encompasses several uncertainties especially unfamiliar disturbances and unmodeled dynamics. The design of a high-performance and reliable controller for this system is regarded as a complex task. In this paper, an effective and roust fractional-order sliding mode controller (FOSMC) has been designed to accurately regulate the active and reactive power of DFIG. FOSMC has overcome the system uncertainties and abated the chattering amplitude. Since tuning the FOSMC is a challenging assignment, the application of a multi-objective optimization algorithm can efficiently and precisely solve the design problem. In this regard, non-dominated sorting multi-objective gray wolf optimizer (MOGWO) is taken into account to optimally adjust the FOSMC. In a word, the simulation results have definitively validated robustness of MOGWO-based FOSMC in order to accurately track DFIG's active and reactive power.


2019 ◽  
Vol 8 (1) ◽  
pp. 269-277 ◽  
Author(s):  
Maryam Farahmandrad ◽  
Soheil Ganjefar ◽  
Heidar Ali Talebi ◽  
Mahdi Bayati

2012 ◽  
Vol 190-191 ◽  
pp. 880-885
Author(s):  
Lu Cao ◽  
Xiao Qian Chen ◽  
Yong Zhao

Attitude Control System(ACS); Terminal; Adaptive; Integral operator Abstract: Attitude Control System (ACS) with high performance, high precision, and high reliability is the kernel technology of the research of spacecraft, which directly affects the whole performance of spacecraft. Hence, a global fast integral operator Terminal adaptive sliding-mode controller is proposed to come true the high performance control. The theory of this controller is to introduce the limited time mechanics—Terminal mode to the sliding-mode control and introduce the integral operator to the sliding-mode plane, which can realize the convergence of spacecraft attitude in “limited time” in the condition of serious disturbance , in order to enhance the performance of fast response. At last, the simulation results demonstrate the high reliability and advantages of the control approach.


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