Mohamed EL-SAYED M. SAKR, Mohamed A. MOUSTAFA HASSAN
{"title":"SATELLITE TRACKING CONTROL SYSTEM USING DIFFERENT OPTIMAL CONTROLLERS BASED ON EVOLUTIONARY OPTIMIZATION TECHNIQUES","authors":"Mohamed EL-SAYED M. SAKR, Mohamed A. MOUSTAFA HASSAN","doi":"10.46565/jreas.2022.v07i01.004","DOIUrl":null,"url":null,"abstract":"Satellite tracking control system is a control unit which automatically steers the parabolic antenna to the desired satellite. It precisely traces the satellite as it Spins in its orbit across the sky. In order to maintain continuous communication signal during multiple satellite tracking missions, the tracking process must be very fast and smooth with minimum deviations from the desired position. Over time, various controller models have been proposed to tackle the problem of antenna pointing in satellite as well as to track moveable targets utilizing servomechanism. This paper aims to present and discuss 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 (STFFOPID) are proposed for satellite tracking control system. The system and control strategies designed and simulated in MATLAB & SIMULINK. The response of the system is analyzed, and the results of different control strategies are measured and compared with others. The obtained results implies that the proposed (V-FOPID) controller is able to track the desired position precisely with the fastest settling time and free overshoot compared to other","PeriodicalId":14343,"journal":{"name":"International Journal of Research in Engineering and Applied Sciences","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Research in Engineering and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46565/jreas.2022.v07i01.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Satellite tracking control system is a control unit which automatically steers the parabolic antenna to the desired satellite. It precisely traces the satellite as it Spins in its orbit across the sky. In order to maintain continuous communication signal during multiple satellite tracking missions, the tracking process must be very fast and smooth with minimum deviations from the desired position. Over time, various controller models have been proposed to tackle the problem of antenna pointing in satellite as well as to track moveable targets utilizing servomechanism. This paper aims to present and discuss 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 (STFFOPID) are proposed for satellite tracking control system. The system and control strategies designed and simulated in MATLAB & SIMULINK. The response of the system is analyzed, and the results of different control strategies are measured and compared with others. The obtained results implies that the proposed (V-FOPID) controller is able to track the desired position precisely with the fastest settling time and free overshoot compared to other