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AN OPTIMIZED PID CONTROLLER FOR DEEP SPACE ANTENNA DC MOTOR POSITION CONTROL USING MODIFIED ARTIFICIAL FISH SWARM ALGORITHM

Pages 45-54

Jibril Y., Salawudeen A. T., Salawu A. and Zainab M. 

Abstract

The aim of the present study is to build an intelligent Proportional-Integral- Derivative (PID) controller for deep space antenna position control using a modified artificial fish swarm optimization algorithm. The PID controller remains the most widely used controller in the engineering industries due to its ease of implementation and minimum requirement of designer’s intervention. The performance of the controller depends mainly on the designer’s choice of the controller (proportion, integral and derivative) gains. Conventional method may take several hours or even days before the right set of parameters which give the required system specification is obtained. Therefore, this study presents an optimization approach for determining the PID controller parameters for the position control of deep space antenna azimuth using the weighted artificial fish swarm algorithm (wAFSA). Also, the standard AFSA was used to design the PID controller for the comparison. Some MATLAB simulation was performed under different deep space antenna amplifier gain to determine the efficiency of the proposed controller. Simulation results revealed the effectiveness and validity of the proposed optimized PID controller regarding settling time (ST), rise time (RT), overshoot (OS), steady state error (STE) and most significantly minimized the cost.

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