摘要
详细地阐述了小脑模型关节控制器 (CMAC)的工作原理 ,将模糊理论引入CMAC ,提出了一种模糊小脑关节控制器 (FCMAC) ,反映了人脑认知的模糊性和连续性 ,并将所提FCMAC用于交流伺服系统的控制。仿真实验结果表明 ,所提FCMAC控制方法与CMAC相比 ,性能有了很大的改善。
Cerebellar model articulation controller(CMAC)is described in detail,and fuzzy theory is introduced into CMAC to propose a fuzzy cerebellar model articulation controller(FCMAC). The proposed FCMAC reflects the fuzziness andcontinuity of human cerebellar and is used to control AC servo system.The simulation results show that the performance of proposed FCMAC is much better than CMAC.
出处
《电气传动自动化》
2003年第3期34-37,共4页
Electric Drive Automation