Fuzzy multiple reference models adaptive control and simulation study

A new method of fuzzy multiple reference models adaptive control (FMRMAC) for dealing with significant and unpredictable system parameter variations is presented. In this method, different suitable reference models are chosen by fuzzy rules when changes occurred to the model parameters. A successful application to the speed servo system of dynamic model of brushless DC motor (BLDCM) shows this method works well with high dynamic performance under the condition of command speed change and load torque disturbance.