الفهرس 
Satellite Earth Station Position Control Using Different Optimal Controllers Based on Evolutionary Optimization Techniques
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Abstract
This work aims to present and discussthe satellite tracking control system based on DC servo motor. Particle Swarm Optimization (PSO), Adaptive Weighted Particle Swarm Optimization (AWPSO), Adaptive Acceleration Coefficients Particle Swarm Optimization (AACPSO), Modified Adaptive Accelerated Coefficients Particle Swarm Optimization (MAACPSO), Crazy Particle Swarm Optimization (C-PSO), Phasor Particle Swarm Optimization (PPSO),Gravitational Search Algorithm with Particle Swarm Optimization (GSA-PSO) and Eagle Strategy with Particle Swarm Optimization (ES-PSO) are proposed for optimal tuning of Proportional-Integral-Derivative (PID), Fuzzy PID (FPID), Variable Coefficient PID (V-PID), Fractional order PID (FOPID) and Variable Coefficient Fractional order PID (V-FOPID) controllers in satellite control system. Performance Index measured using Integral Based Objective Functions and Dynamic Performance Indices Based Objective Functions. Also, Self-Tuning Fuzzy PID (STF-PID) controller and Self-Tuning Fuzzy FOPID (STF-FOPID) are proposed for satellite tracking control system. MATLAB and SIMULINK were used to develop and simulate the system and control strategies. The response of the system is analyzed, the results of different control strategies are measured and compared with others.