Extended dissipative analysis and taxiing control of fuzzy model based aircraft-on-ground systems via sliding mode approach

Abstract

This paper is concerned with the sliding mode control for aircraft-on-ground during deceleration phases. Due to the strong coupling and nonlinearity of aircraft, a standard model has been formulated from the aircraft-on-ground dynamics. This standard model is then represented in a Takagi-Sugeno fuzzy system with input saturation due to the limited steering angle of the front wheel and rudder angle as well as the braking force. Furthermore, a (Q,S,R)−γ-dissipative analysis strategy is applied to attenuate the effect of the wind disturbance. Then, an integral-type fuzzy sliding surface is developed and sufficient conditions are obtained for the sliding mode dynamics to be asymptotically stable with extended dissipation. The adaptive dynamic sliding mode control law is designed, which has the ability to compensate the effects of input saturation and extra disturbance, and ensure the reachability of the sliding surface in finite time. Finally, the simulation results are presented to illustrate that the sliding mode control strategy proposed in this paper can effectively maintain the aircraft taxiing route in different runway environments.