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Designing fractional-order PI~(lambda)D~(mu) controller using differential harmony search algorithm

机译:利用微分和声搜索算法设计分数阶PI〜(λ)D〜(mu)控制器

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Harmony Search (HS) has recently emerged as an efficient metaheuristic algorithm that draws inspiration from the music improvisation process. This article describes the design of fractional-order proportional-integral-derivative (FOPID) controllers, using a newly developed variant of HS, known as differential harmony search (DHS). Design of FOPID controllers is more complex than that of conventional integer-order PID controller since the latter involves only three parameters while the former involvesfive parameters to tune. Controller synthesis is based on user specifications like peak overshoot and, rise time; which are used to formulate a single objective optimisation problem. Tustin operator-based continuous fraction expansion (CFE) scheme was used to digitally realise fractional-order closed loop transfer function of the designed plant-controller setup. Experimental results of comparison between DHS and a few established optimisation techniques [particle swarm optimisation (PSO) and genetic algorithm (GA)] over different instantiations of the design problem reflect the superiority of the proposed methodology.
机译:和谐搜索(HS)最近已成为一种有效的元启发式算法,可从音乐即兴创作过程中汲取灵感。本文介绍了分数阶比例积分微分(FOPID)控制器的设计,该控制器使用了最新开发的HS变体,称为差分和声搜索(DHS)。 FOPID控制器的设计比传统的整数阶PID控制器更为复杂,因为后者仅涉及三个参数,而前者涉及五个要调整的参数。控制器综合基于用户规范,例如峰值超调和上升时间。用于制定单个目标优化问题。基于Tustin算子的连续分数扩展(CFE)方案用于数字化实现所设计的工厂控制器设置的分数阶闭环传递函数。在设计问题的不同实例上,DHS与一些已建立的优化技术[粒子群优化(PSO)和遗传算法(GA)]进行比较的实验结果反映了所提出方法的优越性。

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