Discrete‐time extended state observer‐based model‐free adaptive sliding mode control with prescribed performance
Xiuwei Huang, Zhiyan Dong, Feng Zhang, Lihua Zhang
Abstract
Abstract To tackle the trajectory tracking problem and achieve high control accuracy in many actual nonlinear systems with unknown disturbance, a novel discrete‐time extended state observer‐ (DESO) based model‐free adaptive sliding mode control strategy with prescribed tracking performance is studied, which only relies on the input/output data of the system rather than explicit model information. Firstly, a compact‐form dynamic linearization method is used to reconstruct the discrete‐time nonlinear process, where the time‐varying parameter linearly connected with the control input is obtained by an adaptive method and the unknown nonlinear term is estimated by a DESO. Then, by considering the prescribed performance and using an unconstrained vector transformed from the constrained tracking error, one model‐free sliding mode controller is designed. In addition, a rigorous stability analysis is presented to show the boundedness of the sliding mode function and the prescribed transient‐state and steady‐state performance of the output tracking error. Finally, the simulations with comparing results verify the effectiveness and superiority of the developed control scheme.