Controller Design of Electric Loading System based on T-S Fuzzy Logic

Electric loading system (ELS) simulates aerodynamic load and exerts the load on actuation system. The key issue of ELS is how to eliminate the influence of extra torque caused by actuation system. In order to overcome these difficulties, we propose an adaptive fuzzy torque control (AFTC) algorithm. Takagi-Sugeno fuzzy logic system is utilized to compensate parametric uncertainties and unstructured uncertainties. The output velocity of actuator identified model is introduced into AFTC aiming to eliminate extra torque. The closed-loop stability is studied and the control system is proved to be semi-globally uniformly ultimately bounded. The proposed AFTC algorithm is applied to an ELS and the comparative experimental results indicate that AFTC controller is effective for ELS to achieve a guaranteed transient as well as final tracking accuracy.