Controlling of Wind Turbine Generator System based on Genetic Fuzzy-PID Controller
Amin Alqudah · International Journal of Advanced Trends in Computer Science and Engineering · 2020
In this research, Genetic Algorithm (GA) was used as a feasible solution for optimization/tuning of a simulated Fuzzy Proportional Integral Derivative (FPID) controller for a variable speed wind turbines (WTs).The aim of this research is to tune the membership function (MF) of a FPID controller using genetic programming and investigating the performance of the system.Firstly, Mamdani's Fuzzy Inference System (FIS) is implemented to control the WTs.The MF is encoded to formulate the chromosome by choosing some parameters like centre and left-right base, and then a proper fitness function is designed to minimize mean square error.Finally, the GA is applied and simulated on MATLAB by choosing different number of generation.The GA works by slowly "evolving" a population of chromosomes that represent better and better solutions to the problem.The simulation results show that the proposed method, Genetic FPID (GFPID), has better performance compared to the other controlling techniques discussed in this paper.GFPID system has better transient response and steady state response than the other systems with lower value of overshoot and steady state error.