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Application of Bio geography based Fractional order PID controller in DC motor drive speed control

机译:基于生物地理学的分数阶PID控制器在直流电动机驱动速度控制中的应用

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This paper presents the mathematical model of chopper fed DC motor drive containing both speed and current control loops. The model is simulated with Integer Order PID controller and Fractional Order PID (FOPID) controller. The time domain characteristics of motor like peak overshoot, rise time and settling time are found to be improved in presence of FOPID controller. Optimization techniques namely Particle Swarm Optimization (PSO) and Bio Geography Based Optimization (BBO) are implemented on the proposed model for both the controllers and it has been observed that the speed control is more efficient when optimized with BBO compared to PSO with improvement in time domain specifications of DC motor. Simulation is carried out in MATLAB/SIMULINK environment.
机译:本文介绍了斩波式直流电动机驱动器的数学模型,该模型包含速度和电流控制回路。使用整数阶PID控制器和分数阶PID(FOPID)控制器对模型进行仿真。发现在存在FOPID控制器的情况下,电机的时域特性(例如峰值超调,上升时间和建立时间)将得到改善。在两个控制器的模型上都实现了优化技术,即粒子群优化(PSO)和基于生物地理的优化(BBO),并且已经观察到,与PSO相比,使用BBO进行优化时速度控制更有效,并且时间有所改善直流电动机的领域规格。仿真是在MATLAB / SIMULINK环境中进行的。

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