摘要
对CMAC神经网络的工作原理进行了简要讨论,针对主动磁轴承具有本质不稳定性和高度非线性动态特性的特点,提出了一种基于CMAC神经网络的非线性控制方案以改善系统的特性.对某单自由度磁轴承的仿真研究表明,CMAC神经网络控制器抗扰动能力强,同时其他控制品质也比传统PID控制器好.
The principle of CMAC neural networks is discussed briefly. Aiming at the highly nonlinear and naturally unstable dynamics of active magnetic bearings （AMB）, a nonlinear controller based on CMAC neural networks is proposed to improve system dynamic performance. The simulation results of a single-degree-of-freedom AMB system show that the proposed controller has good disturbance rejection ability; and other control performance is also much superior to the traditional PID controller.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2006年第2期63-66,71,共5页
Engineering Journal of Wuhan University
基金
国家自然科学基金项目(50375113)
湖北省自然科学基金项目(2005ABA282)
武汉市青年科技晨光计划项目(2003500201605)
关键词
CMAC神经网络
主动磁轴承
控制品质
抗扰动能力
CMAC neural networks
active magnetic bearings
control performance
disturbance rejection ability
