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Research on Fractional Order PID Controller in Servo Control System

机译:伺服控制系统中分数阶PID控制器的研究

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The applications of servo control technology in industry, transportation, astronautics, medical treatment, military and other fields are becoming more and more popular, which requires higher performance in response speed, tracking accuracy and adaptability to complex environment. The control algorithm has a vital impact on the performance of the whole servo system. Fractional-order PID (FOPID) controller is an advanced control strategy which has emerged in recent years. It has better control performance and wider application prospects than traditional PID controller. The parameter tuning of FOPID controller using genetic algorithm based on the state-space (GABS) is proposed, which is to achieve global search to obtain the optimal parameters, and then the design of optimal FOPID controller is completed. Compared with FOPID controller optimized by particle swarm optimization (PSO) and integer order PID (IOPID), FOPID controller by GABS has better tuning results. And the system has better performance in response performance, anti-interference ability and robustness.
机译:伺服控制技术在工业,交通,航天,医疗,军事等领域的应用正日益普及,要求响应速度,跟踪精度和对复杂环境的适应性更高。控制算法对整个伺服系统的性能有着至关重要的影响。分数阶PID(FOPID)控制器是近年来出现的一种高级控制策略。与传统的PID控制器相比,它具有更好的控制性能和广阔的应用前景。提出了基于遗传算法的状态空间遗传算法对FOPID控制器进行参数整定,以实现全局搜索以获得最优参数,从而完成了最优FOPID控制器的设计。与通过粒子群优化(PSO)和整数阶PID(IOPID)优化的FOPID控制器相比,GABS的FOPID控制器具有更好的调整结果。并且该系统在响应性能,抗干扰能力和鲁棒性方面具有更好的性能。

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