基于动态补偿逆的非线性RBF内模控制及其应用  

Based on Dynamic Compensation Inverse of RBF Internal Model Control for Non-linear Uncertain Systems

作　　者：李炜[1] 许德智[1] 李二超[1] 

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050

出　　处：《化工自动化及仪表》2010年第3期43-46,共4页Control and Instruments in Chemical Industry

基　　金：甘肃省自然科学基金资助项目(3ZS051-A25-032);甘肃省教育厅高等学校研究生导师科研项目(050301);兰州理工大学特色学术梯队基金

摘　　要：针对非线性不确定系统和传统的非线性内模控制在控制上存在的不足,提出一种基于动态补偿逆的非线性不确定系统RBF内模控制,在引入RBF建立逆模型的同时,将无模型自适应控制方法作为附加控制器,用于模型偏离被控对象时在线修正逆模型。仿真结果表明,本文提出的方法不仅对系统的常量摄动具有较好的鲁棒性,对时变不确定性仍然保持较好的跟踪效果,具有较好的实时性、鲁棒性和在线校正功能。According to the deficiencies in control of nonlinear uncertain systems and traditional nonlinear intemal model control, a radial basis function （RBF） internal model control for nonlinear uncertain systems based on dynamic compensation inverse was presented. At the same time while RBF was introduced to establish the inverse model, the model free adaptive control （MFAC） method was taken as an additional controller to correct inverse model online as the model deviated from the controlled bbject. The simulation results show that the method has good robustness for the constant perturbation of the system and has good tracking results to the time-varying uncertainties system.

关 键 词：非线性不确定 RBF网络 无模型自适应控制 动态补偿 逆系统方法 内模控制 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]