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标题：基于改进人工蜂群算法的磁轴承PID控制器参数优化 |
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作者：韩万木，蒋启龙，刘东 |
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| 2017年第9期 访问次数：927次 |
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摘要：为减小电磁轴承中气隙控制中非线性的影响,将人工蜂群（ABC）算法用于电磁轴承控制器参数优化,以改善算法的优化速度和收敛性，为了提高算法的收敛速度和精度，将搜索方程改进型算法应用于系统之中，获得的优化参数用于磁浮轴承的比例积分微分(PID)控制器,通过仿真和实验验证了该改进型算法的有效性。
关键词：人工蜂群算法（ABC）；磁轴承（AMB）；PID控制器
Abstract: In order to reduce the influence of nonlinearity in the control of air gap in active magnetic bearing(AMB), artificial bee colony (ABC) algorithm was used to optimize the parameters of the electromagnetic bearing controller, in order to improve the speed and convergence of the algorithm. The improved algorithm was applied to the system, and the optimal parameters were obtained for the proportional integral derivative (PID) controller of AMB. The effectiveness of the improved algorithm was verified by simulation and experiment.
Key words: artificial bee colony algorithm(ABC) ; active magnetic bearing(AMB); PID controller
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