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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级PID控制器研究

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摘要

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,运输,航天,医疗,军事等领域的应用变得越来越受欢迎,这需要响应速度,跟踪准确性和对复杂环境的适应性更高的性能。控制算法对整个伺服系统的性能具有重要影响。分数级PID(FOPID)控制器是近年来出现的先进控制策略。它具有比传统PID控制器更好的控制性能和更广泛的应用前景。提出了使用基于状态空间(GAB)的遗传算法的FoPID控制器的参数调整,即实现全球搜索以获得最佳参数,然后完成最佳FoPID控制器的设计。与通过粒子群优化(PSO)优化的FoPID控制器和整数PID(IOPID)相比,GAB的FoPID控制器具有更好的调整结果。并且系统具有更好的性能,响应性能,抗干扰能力和鲁棒性。

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