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A comparison on genetic algorithm based integer order and fractional order PID control of magnetic bearing system

机译:基于遗传算法的基于遗传算法和磁轴承系统的分数阶PID控制的比较

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This paper presents a study on comparison between integer order PID (IOPID) and fractional order PID (FOPID) control of a magnetic bearing system. First, a magnetic levitation system model is derived. Genetic algorithm is used for the controller design to compensate derived model. Different fitness functions are used to determine controller parameters. System responses are compared for two controllers. Also, controller performances are tested both when the operation point is varied and controller parameters are changed. Moreover, a comparison between IOPID and FOPID is done.
机译:本文介绍了磁轴承系统的整数PID(IOPID)和分数级PID(FOPID)控制的比较研究。首先,推导出磁悬浮系统模型。遗传算法用于控制器设计以补偿派生模型。不同的健身功能用于确定控制器参数。将系统响应与两个控制器进行比较。此外,当改变操作点并改变控制器参数时,都会测试控制器性能。此外,完成了Iopid和Fopid之间的比较。

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