Comparative Analysis of the PSO and GA Based on FOC Technique to Control Speed of AC Traction Motor Drive of Electric Train for Ethio-Djibouti Standard Gauge Railway

Abstract

In that they are highly effective in reducing traffic congestion, increasing transportation capacity, consuming less energy, and limiting air pollution, rail transport systems play a significant role in public transportation systems. In railway train operation processes safety is the preliminary affair that are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable specially with controlling the speed of train. For ac traction induction motor vector control, a PI (Proportional, and Integral) parameters controller is used. Particle swarm optimization, evolutionary algorithms, and simulated annealing are a few examples of effective tuning methods for PI parameters. This work proposes a scheduling method for an ac traction induction motor speed control that compares PI tuning parameters using the particle swarm optimization algorithm and the genetic algorithm. As a function of the required settling time and motor specifications, the suggested method will calculate the ideal parameters for the current loop, flux loop, and speed loop. The simulation result shows that PSO-PI technique produce 0% overshoot whereas GA-PI produce 3.86% overshoot at a time of train move with 70km/hr. Again PSO-PI control technique produce 0.15 rise time, 0.27 sec for settling with 4.28 steady error. GA-PI produce 0.12 second rise time and 0.189 settling time with 7.72 steady state error. Generally we can conclude from simulation results obtained using Matlab/Simulink showed that the PSO method is superior to GA to come upon steady state