模糊多参考模型自适应控制及仿真研究

Fuzzy Multiple Reference Model Adaptive Control and Simulation Study

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。

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.