摘要
在高精度直线伺服跟踪控制系统中,为使输出响应快速地跟踪输入指令,需要克服系统滞后、未建模动态、不确定性以及负载变化的影响,文中提出了一种模糊小脑模型神经网络(FCMAC)直接逆控制的方案,可动态地克服这些影响。文中给出了较详细的原理分析及实现过程。仿真结果表明,该方法能够明显提高直线伺服系统的快速跟踪能力,并使系统具有较强的适应性和鲁棒性。
In high precision linear servo tracking control system, in order to make the output response track perfectly the input command,the influences of lagging phenomenon, unmodelled dynamic, uncertain factors and the variation of the load will be overcome. In the paper,a direct inverse control scheme of FCMAC neural network is presented. The principle analysis and the design realizing process of the system are given in detail. The simulation results show that the method can obviously improve the tracking ability of the linear servo system, and make the system have stronger adaptability and robustness.
出处
《组合机床与自动化加工技术》
2005年第8期50-51,54,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(50075057)
辽宁省教育厅项目(2004F014)
