Optimization of PID controller parameters for deep space antenna positioning system using genetic algorithm

Abstract

Proportional-Integral-Derivative (PID) controller’s parameters for deep space antenna positioning system were optimized using Genetic  Algorithm (GA). The use of GA resulted in the optimum controller parameters being selected for the system every time. Matlab/ Simulink  environment was used in determining the optimum value for its parameters. Simulation result showed that the performance of the  optimized PID Controller gave a response values of 2.2412sec rise time, 2.9861sec settling time and 0% overshoot and undershoot and is  comparably better than the conventionally, Zeigler-Nichols method, tuned controller response values of 0.8568sec rise time, 9.2289sec  settling time, 66.3812% overshoot and 23.1264% undershoot at an amplifier gain value of 100 for both method. Results for different  amplifier gain values also show that the system response at an amplifier gain of 250 produced the best response in terms of rise time,  settling time and overshoot but has a problem of distorted response in its transient state characteristics .