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Design and Performance Evaluation of Fractional Order PID Controller for Heat Flow System Using Particle Swarm Optimization

机译:使用粒子群优化的热流系统分数阶PID控制器的设计与性能评价

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The purpose of this paper is to apply a natured inspired algorithm called as Particle Swarm Optimization (PSO) for the design of fractional order proportional-integrator-derivative (FOPID) controller for a heat flow system. For the design of FOPID controller, the PSO algorithm is considered as a designing tool for obtaining the optimal values of the controller parameter. To obtain the optimal computation, different performance indices such as IAE (Integral Absolute Error), ISE (Integral Squared Error), ITAE (Integral Time Absolute Error), ITSE (Integral Time Squared Error) are considered for the optimization. All the simulations are carried out in Simulink/Matlab environment. The proposed method has shown better result in both in transient and frequency domain as compared to other published works.
机译:本文的目的是应用一种称为粒子群优化(PSO)的自然启发算法,用于用于热流系统的分数阶数积分器 - 衍生物(FOPID)控制器的设计。对于FoPID控制器的设计,PSO算法被认为是用于获得控制器参数的最佳值的设计工具。为了获得最佳计算,不同的性能指数,如IAE(积分绝对误差),ISE(积分平方误差),ITSE(积分时间绝对误差),ITSE被认为是优化的。所有模拟都在Simulink / Matlab环境中进行。与其他公开的作品相比,所提出的方法在瞬态和频域中的效果更好。

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