Journal of Shanghai Jiaotong University ›› 2020, Vol. 54 ›› Issue (9): 898-903.doi: 10.16183/j.cnki.jsjtu.2020.169

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Discrete-Time Integral Sliding Mode Predictive Control for Single Input Single Output Systems

LIU Qiu, ZHAO Dongya()   

  1. College of New Energy, China University of Petroleum (East China),Qingdao 266580, Shandong, China
  • Received:2019-12-11 Online:2020-09-28 Published:2020-10-10
  • Contact: ZHAO Dongya


Based on the theories of discrete-time sliding mode control and model predictive control, a discrete-time integral sliding mode predictive control algorithm is proposed for a class of single input single output (SISO) control systems with disturbance. The control algorithm proposed combines the advantages of sliding mode control and model predictive control. The integral sliding mode reduces the disturbance effect of the system, which ensures the robustness of the whole system. The design method reduces the requirement on the controller of the system model, and enhances the control performance because the control algorithm does not require strict model forms as well as the characteristics of the system output rolling optimization. The stability analysis and MATLAB software simulations verify the effectiveness of the control algorithm.

Key words: single input single output (SISO), integral sliding mode control, predictive control, robustness

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