Speed Control of Induction Motor Fed from Wind Turbine via Particle Swarm Optimization Based PI Controller

Abstract

Three-phase Induction Motor (IM) is widely used in the industry because of its rugged construction and absence of brushes. However, speed control of IM is required depending on the desired speed and application. This study proposes a design of a Proportional Integral (PI) controller using Particle Swarm Optimization (PSO) algorithm to control the speed of an IM supplied from wind turbine. The wind turbine acts as a prime mover to a connected DC generator. Pulse Width Modulation (PWM) is used to obtain three phase AC voltage from the output of DC generator. The proposed design problem of speed controller is formulated as an optimization problem. PSO is employed to search for optimal controller parameters by minimizing the time domain objective function. The performance of the proposed technique has been evaluated with respect to the variation of load torque and speed wind turbine. Also the performance of the proposed controller has been evaluated with the performance of the PI controller tuned by Genetic Algorithm (GA) in order to demonstrate the superior efficiency of the proposed PSO in tuning PI controller. Simulation results emphasis on the better performance of the optimized PI controller based on PSO in compare to optimized PI controller based on GA over a wide range of load torque and speed wind turbine.

Speed control of induction motor supplied by wind turbine via Imperialist Competitive Algorithm

“…This demonstrates that the settling time and oscillations are greatly reduced by applying the proposed ICA. Moreover, the values of these indices are less than those obtained in [24].…”

“…c) DC generator parameters [24]: [24]: f ¼ 60 Hz, P ¼ 2, rated voltage ¼ 220 V, R s ¼ 0.435 U, L ls ¼ 2 mH, B ¼ 0.001, J c ¼ 0.356, R r ¼ 0.408 U, L lr ¼ 2 mH, L m ¼ 0.06934H, T L ¼ 11.9 N m.…”

Improved control strategy for PI-R current of DFIG considering voltage and current harmonics compensation

“…At present, there have been some papers involved in the operation and control methods of DFIG wind power system in harmonic environment at home and abroad. For instance, the stator current harmonic compensation method based on the multiple synchronous rotating coordinate systems from papers [8][9][10], the multi-objective control method added harmonic calculation instruction according to papers [11][12][13], control method of harmonic current based on multiple rotating coordinate systems from papers [14][15][16], and selected harmonic elimination method based on resonant controller according to papers [17][18][19][20][21].In conclusion, the above methods can be divided into two categories. One can be named as the control strategy of the PI current controller based on multiple rotating dq coordinate systems, which means that PI controller is used to control the rotor current after selecting the control target in (dq) + , (dq) 5− , (dq) 7+ reference frames.…”

Speed control of SRM supplied by photovoltaic system via ant colony optimization algorithm

“…Fuzzy logic control (FLC) [5][6][7][8][9][10], artificial neural network (ANN) [11,12], robust controller [13][14][15] and adaptive controller [16] have been employed to solve the problem of speed control of SRM. Moreover, optimization techniques like genetic algorithm (GA) [17], particle swarm optimization (PSO) [18][19][20][21][22][23][24][25][26][27][28][29], bacteria foraging [21,22], artificial bee colony [23], firefly [24], imperialist competitive algorithm [25] and BAT algorithm [26] have attracted the attention in designing controller and speed control of various motors.…”