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模糊多参考模型自适应控制及仿真研究
引用本文:朱嵘嘉,纪志成.模糊多参考模型自适应控制及仿真研究[J].系统仿真学报,2005,17(12):2997-3000,3003.
作者姓名:朱嵘嘉  纪志成
作者单位:江南大学控制科学与工程研究中心电气自动化研究所,江苏,无锡,214122
基金项目:江苏省高技术研究计划项目(BG2005014)
摘    要:将模糊理论应用于参考模型的选择,提出一种将模糊选择和自适应控制相结合的模糊多参考模型自适应控制算法。此方法通过模糊规则选取合适的参考模型,能克服传统自适应算法中由于系统参数跳变而带来的控制困难,并且具有较好的鲁棒性能。在无刷直流电机调速系统模型中的仿真表明,此方法控制的无刷直流电机在电机参考转速和负载转矩变化的情况下仍具有良好的动态性能和控制精度。

关 键 词:模糊选择  多参考模型自适应  无刷直流电机模型  鲁棒性
文章编号:1004-731X(2005)12-2997-04
收稿时间:2005-03-21
修稿时间:2005-03-212005-07-28

Fuzzy Multiple Reference Model Adaptive Control and Simulation Study
ZHU Rong-jia,JI Zhi-cheng.Fuzzy Multiple Reference Model Adaptive Control and Simulation Study[J].Journal of System Simulation,2005,17(12):2997-3000,3003.
Authors:ZHU Rong-jia  JI Zhi-cheng
Institution:Institute of Electrical Automatic, Control Science and Engineering Research Center, Southern Yangtze University, Wuxi 214122, China
Abstract:A new fuzzy multiple reference model adaptive control method combining the fuzzy select and conventional adaptive control was proposed. To overcome the control difficulties which were due to significant and unpredictable system parameter variations, this method used the fuzzy logic rules to choose the suitable reference model. The new method was applied to control the speed servo system of dynamic model of BLDCM, and the simulation results show it works well with high dynamic performance and control precision under the condition of great change in reference speed and load torque.
Keywords:Fuzzy selection  Multiple reference model adaptive control  Brushless DC motor(BLDCM)  Robustness
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