Research And Application Of Adaptive Fuzzy Systems Based On Ts Model

As we all know, the consequent parameters of T-S Fuzzy Logic Systems (FLS) are relative with input states and it has more superior approaching performance to Mamdani FLS. Therefore, in this paper, we will present several adaptive fuzzy controllers on the basis of T-S FLS and apply them to the takeoff control of aircraft. The primary work of this paper is as following:1) An adaptive fuzzy controller of a class of affine nonlinear system is presented. The approximators using T-S FLS are adopted to estimate the unknown functions of the system and the tunable parameters are the coefficients of the consequent rules. The closed-loop systems in this paper can get global stability by using Lyapunov synthesis approach. Simulation of inverted pendulum tracking is carried out as demonstration.2) We integrate traditional sliding mode control and adaptive control with fuzzy approximation theory and present a class of new hybrid control law, which can be smoothly transited between adaptive control and sliding control law. Moreover, it doesn't require the approximation error squared integrabel and the boundness of it can be adjusted adaptively.3) An adaptive fuzzy controller for square MIMO systems is presented. The consequent parameters of fuzzy rules are adjustable. We will apply it to the takeoff control of aircraft later. Better simulation results will be achieved even without the experience of specialists'.