This paper proposes new methodologies for the design of adaptive sliding mode control. The goal is to obtain a robust sliding mode adaptive gain control law with respect to uncertainties and perturbations without the knowledge of uncertainties/perturbations bound (only the boundness feature is known). The proposed approaches consist in having a dynamical adaptive control gain that establishes a sliding mode in finite time.. Gain dynamics ensures also that there is no over-estimation of the gain with respect to the real a priori unknown value of uncertainties. The efficacy of both proposed algorithms is confirmed on a tutorial example and while controlling an electropneumatic actuator.

No abstract

This paper presents a novel control strategy based on adaptive sliding mode control. The proposed adaptation law allows adjusting the control gain by taking into account the effects of bounded uncertainties and perturbations with unknown bounds. The main advantage of the proposed adaptive sliding mode control algorithm is in adjusting the control gain without its overestimation in the presence of the bounded perturbations with the unknown bounds. This yields the reduction of chattering. The control law is applied for position-pressure control of electropneumatic actuator experimental setup.

No abstract

No abstract

No abstract

No abstract