|Drive of Induction Motors Using a Pseudo-On-Line Fuzzy-PID Controller Based on Genetic Algorithm
Taechon Ahn/Yangwon Kwon/Haksoo Kang
Transaction on Control Automation, and Systems Engineering, vol. 2, no. 2, pp.85-91, 2000
Abstract : This paper proposes a novel method with pseudo-on-line scheme using the optimized look-up table based on the genetic algorithm which does not use the gradient and finds the global optimum of an un-constraint optimization problem. The technique is a pseudo-on-line method that optimally estimates the parameters of fuzzy PID(FPID) controller for systems with non-linearity, using the genetic algorithm. The proposed controller(GFPID) with the auto-tuning function is applied to the on-line and real-time control of speed at 3-phase induction motor, and its computer simulation is carried out. Simulation results show that the proposed method is more excellent than conventional FPID and PID controllers.
induction motor, FPID, genetic algorithm, pseudo-on-line, GFPID