刘邱, 赵东亚()

中国石油大学(华东) 新能源学院,山东 青岛 266580

收稿日期:2019-12-11出版日期:2020-09-28发布日期:2020-10-10
通讯作者:赵东亚E-mail:dyzhao@upc.edu.cn
作者简介:刘邱(1995-),男,重庆市人,硕士生,从事滑模控制和预测控制的研究
基金资助:国家自然科学基金资助项目(61973315)

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

LIU Qiu, ZHAO Dongya()

College of New Energy, China University of Petroleum (East China),Qingdao 266580, Shandong, China

Received:2019-12-11Online:2020-09-28Published:2020-10-10
Contact:ZHAO Dongya E-mail:dyzhao@upc.edu.cn

摘要/Abstract

摘要： 基于离散滑模控制理论和模型预测控制理论,针对一类带有外界干扰的单输入单输出控制系统提出了一种离散时间积分滑模预测控制算法.该控制算法结合了滑模控制和预测控制的优点,利用积分滑模降低了干扰对系统的影响,保证了系统的整体鲁棒性.并且该控制算法具有预测控制不需要严格的模型形式以及对系统输出进行滚动优化的特点,从而降低了控制器对系统模型的要求,增强了其控制性能.最后通过稳定性分析以及MATLAB软件仿真验证了该控制算法的有效性.
关键词: 单输入单输出, 积分滑模控制, 预测控制, 鲁棒性
Abstract: 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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