摘要
介绍了磁力轴承系统的工作原理和数学模型,针对该系统的高度非线性、本质不稳定性和参数不确定性,提出了一种控制算法较为简单的模糊控制方案,通过分析得出影响模糊控制器稳态误差大小的两个主要因素为比例因子ke和误差e的量化论域中"0"点的量化策略.在Simulink中的仿真结果表明,将模糊控制器用于磁力轴承系统的控制,与PID控制相比,系统超调小,调节时间短,抗扰动能力强,且能达到一定的控制精度.
The principle and mathematical model of active magnetic bearings （AMB） are introduced briefly. Focusing on this system＇s high nonlinearity, naturally instability and parameter uncertainty, a design scheme using a fuzzy controller is proposed. It is concluded that scale coefficient ke and the quantization strategy of zero in the quantization domain of error e are two main factors affecting the steady error through analysis. The simulation results in Simulink demonstrate that the AMB system using the fuzzy controller has less settling time, smaller overshoot and strengther disturbance rejection ability compared with the PID controller. The fuzzy controller has good control precition.
出处
《三峡大学学报（自然科学版）》
CAS
2007年第3期245-247,共3页
Journal of China Three Gorges University：Natural Sciences
基金
国家自然科学基金资助项目(50375113)
关键词
磁力轴承
模糊控制
PID控制
抗扰动
稳态误差
仿真
magnetic bearings
fuzzy controller
PID controller
disturbance rejection
steady state error
simulation
