文献类型：会议论文

英文题名：PSO-Assisted Memory Sliding Mode Observer for High-order Systems

作者：Li, Xikang[1];Xu, Jing[1];Niu, Yugang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Energy & Chem Proc Intelligent Mfg, Minist Educ, Shanghai, Peoples R China

会议论文集：41st Chinese Control Conference (CCC)

会议日期：JUL 25-27, 2022

会议地点：Hefei, PEOPLES R CHINA

语种：英文

外文关键词：Sliding mode observer; exponential stability; particle swarm optimization

摘要：This paper designs a novel memory sliding mode observer to estimate system states in the presence of matched uncertainty. First, the error system is obtained and estimated by static differential estimation theory. Based on the equivalent control method, the equivalent control law is obtained to ensure the closed-loop exponential stability and the Lyapunov theory is used to realize robust exact estimation of the system state. Second, the parameter optimization via particle swarm optimization is chosen between three competing design objectives: the system decay rate, the control efforts, and the attenuation of high-frequency measurement noise. Finally, the effectiveness of the proposed memory sliding mode observer is verified by a numerical simulation example on a DC motor system.