A Novel Direct Model Reference Fuzzy Control Approach Based on Observer and Its Applications

This paper aims to introduce a novel direct model reference fuzzy control approach based on observer for nonlinear systems, expressed in the form of a Takagi Sugeno (TS) fuzzy model. Based on this model, a direct model reference fuzzy controller based on adaptive observer is developed to deal with external disturbances. Compared with the adaptive observer based on TS fuzzy control model, the proposed method is robust in the existence of bounded external disturbances and it is capable of tracking a reference signal rather than just regulation. In addition the proposed algorithm does not necessitate the existence of plant parameter estimator any more. The proposed method is then validated on the control of Chua's circuit and it is shown that it is capable of controlling this chaotic system with high performance.