Deadbeat Robust Current Predictive Control for Induction Motor with Nonlinear Integral Sliding Mode Observer

Deadbeat robust current predictive control algorithm with sliding mode observer (SMO) can observe system errors and the current of induction motor at the next step, which can effectively suppress the influence of motor parameter mismatch and enhance the robustness of the system. However, the traditional SMO has serious chattering problems and cannot converge in finite time. To address this problem, this paper designs a nonlinear integral sliding mode surface, which can reduce the chattering while ensuring that the current observation error can converge in finite time, and avoid the integral saturation problem in the traditional integral sliding mode surface. Then the sliding mode surface information is introduced into the reaching low to adaptively adjust the gain of SMO to further reduce chattering. Finally, MATLAB is used for simulation comparison and verification to prove the effectiveness of the proposed algorithm.