Speed Control of Micro Gas Turbine with PMSG using Evolutionary Computational Techniques

Abstract

This paper studies speed control of Micro Gas Turbine with PD controller. The article investigate the behavior of Micro Gas turbine with PMSG under load variations using different controllers .Most of these controllers are based on Evolutionary Computational Techniques (ECT), among these Evolutionary Computational Techniques, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Adaptive Accelerated Coefficients Particle Swarm Optimization (AACPSO). In this study, PD parameters are defined using a conventional PD controller is tuned by Ziegler-Nicholas technique. The conventional controller compared with (ECT). Simulation results show that the response of the PSO-Fuzzy like PD, AACPSO-Fuzzy like PD, and AACPSO- PD controller is effectively improved compared with other controllers. The effectiveness of the proposed scheme is confirmed via extensive study using MATLAB-Simulink software. The obtained results are promising.