摘要
在小脑神经网络(CMAC)与PID并行控制的基础上,提出了一种新型的CMAC控制器,即FCMAC控制器。这种把小脑神经网络与模糊控制(Fuzzy)结合起来的控制方法,具有两种控制方法的优点。本文中以某交流伺服电机作为控制对象,用MATLAB进行了仿真。仿真结果表明,FCMAC控制器具有较高的控制精度、良好的自适应特性。
A new CMAC neural network controller - FCMAC controller was designed, which based on the CMAC neural network, combined the principles of PID controlling algorithm. The FCMAC controlling algorithm contains both controlling advantage of CMAC and Fuzzy controlling algorithm. In this paper, an AC servo motor is served as the controlled object; the system is simulated with MATLAB. The results of simulation show that the FCMAC controller has a better control precision and self-adaptive property.
出处
《微计算机信息》
北大核心
2007年第06S期41-42,26,共3页
Control & Automation
基金
武器装备预研基金
颁发部门:中国人民解放军总装备部(编号不公开)
