Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : PSO Adapting of Fuzzy Parameters


PSO-FL Controller of Separately Excited DC Motor

Hawraa Q. Hameed

Engineering and Technology Journal, 2013, Volume 31, Issue 11, Pages 2128-2140

This paper presents an application of highbrid controller of a Separately Exited DC Motor (SEDM) using PSO-FL techniques. The controller is designed depending on fuzzy logic rules are such that the systems are fundamentally robust. These rules have capability learning, can learn and tune rapidly, even if the motor parameters are varied. But, adapting fuzzy controller parameters is very complex and depends on operator experience. Therefore a Particle Swarm Optimization technique was adapted for obtaining the centers and the width of triangle inputs membership functions. The FL method is represented too. The complete mathematical model and simulation of a separately excited dc motor is represented using MATLAB10a/SIMULINK. The simulation results demonstrate that the proposed PSO-FL speed controller realizes a good dynamic behavior of the SEDM with very good speed tracking.

Particle Swarm Optimization for Adapting Fuzzy Logic Controller of SPWM Inverter Fed 3-Phase I.M.

Fadhil A. Hassan; Lina J. Rashad

Engineering and Technology Journal, 2011, Volume 29, Issue 14, Pages 2912-2925

According to the high performance demand of speed control of an induction motor, Fuzzy Logic Controller (FLC) gives superior behavior over wide range of speed variation. Fuzzy logic is a robust controller for linear and non-linear system, even if good mathematical representation of the system is not available. But, adapting
fuzzy controller parameters is very complex and depends on operator experience. Particle Swarm Optimization (PSO) algorithm is proposed in this paper as an optimization technique for adapting centers and width of triangle inputs membership functions. The ordinary adapting method of FLC is represented too. Meanwhile, based on the concept of optimization, ways of defining the fitness function of the
PSO including different performance criteria are also illustrated. The complete mathematical model and simulation of an induction motor and inverter are represented in this paper. The simulation results demonstrate that the proposed PSOFL speed controller realizes a good dynamic behavior of the I.M with very good speed tracking.