SATELLITE TRACKING CONTROL SYSTEM USING DIFFERENT OPTIMAL CONTROLLERS BASED ON EVOLUTIONARY OPTIMIZATION TECHNIQUES

Mohamed EL-SAYED M. SAKR, Mohamed A. MOUSTAFA HASSAN
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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
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基于进化优化技术的不同最优控制器的卫星跟踪控制系统
卫星跟踪控制系统是将抛物面天线自动导向目标卫星的控制单元。它精确地追踪卫星在天空中绕轨道旋转的轨迹。为了在多次卫星跟踪任务中保持连续的通信信号,跟踪过程必须非常快速和平稳,与期望位置的偏差最小。随着时间的推移,人们提出了各种各样的控制器模型来解决卫星天线指向问题以及利用伺服机构跟踪可移动目标。本文旨在介绍和讨论基于直流伺服电机的卫星跟踪控制系统。粒子群优化(PSO)、自适应加权粒子群优化(AWPSO)、自适应加速系数粒子群优化(AACPSO)、改进自适应加速系数粒子群优化(MAACPSO)、疯狂粒子群优化(C-PSO)、针对卫星控制系统中比例-积分-导数(PID)、模糊PID (FPID)、变系数PID (V-PID)、分数阶PID (FOPID)和变系数分数阶PID (V-FOPID)控制器的最优整定,提出相量粒子群算法(PPSO)、重力搜索粒子群算法(GSA-PSO)和鹰策略粒子群算法(ES-PSO)。使用基于积分的目标函数和基于目标函数的动态性能指标测量性能指标。同时提出了自整定模糊PID (STF-PID)控制器和自整定模糊FOPID (STFFOPID)控制器。在MATLAB和SIMULINK中对系统和控制策略进行了设计和仿真。分析了系统的响应,测量了不同控制策略的结果,并与其他控制策略进行了比较。结果表明,与其他控制器相比,所提出的(V-FOPID)控制器具有最快的稳定时间和自由超调,能够精确地跟踪所需位置
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