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蚁群算法PID控制器在磁轴承控制系统中的应用 被引量:1

Application Research of Ant Colony Algorithm PID Control in Magnetic Bearing System
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摘要 磁悬浮轴承是磁悬浮转轴系统的重要组成部分.由于磁轴承具有较大的非线性,难于控制,采用常规的参数整定方法很难达到较好的控制效果.因此,采用不完全微分PID控制算法,利用蚁群算法根据设定的系统性能指标实时优化控制器参数.仿真结果证明,这种控制器能够很好地满足系统性能指标的要求. A magnetic bearing is the important component part of the magnetic suspension axis system. A magnetic bearing is difficult to control because of its remarkable nonlinear characteristic. So it is hard to receive good effect by using the normal parametric setting method. PID control with partial differential is used and Ant Colony Algorithm optimizes the parameters in real time based on the system performance index. The simulation result proves this control could satisfy need of the system.
出处 《北华大学学报(自然科学版)》 CAS 2007年第6期562-565,共4页 Journal of Beihua University(Natural Science)
关键词 磁悬浮轴承 蚁群算法 PID控制器 仿真 Magnetic bearing Ant colony algorithm PID control Simulation
作者简介 浦铁成(1977~),男,讲师,硕士,主要从事先进传感技术与智能控制技术研究.
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