文献类型：期刊文献

英文题名：Sliding Mode Control for Continuous Stirred Tank Reactor with Mismatched Disturbances: A Genetic-Algorithm-Optimized GESO Approach

作者：Zhou, Sai[1]; Wang, Shuhan[1]; Ma, Shumin[1]; Lu, Qi[1]; Song, Jun[1]; Qing, Xiangyun[1]

机构：[1] Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, 200237, China

年份：2021

卷号：2021-July

起止页码：2354

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20214311045841)

语种：英文

外文关键词：Tanks (containers) - Sliding mode control - State estimation - Chemical reactors - Controllers - Disturbance rejection

摘要：The paper develops a generalized-extended-state-observer-based sliding mode control (GESO-SMC) approach for temperature stabilization of continuous stirred tank reactor (CSTR) with mismatched disturbances. The generalized extended state observer (GESO) is proposed to generate the estimates of both unmeasured states and disturbances. Based on the estimated variables, the parameters of sliding mode function are designed for controller to counteract the effect of disturbances on the temperature of CSTR. Furthermore, the optimized switching gain of controller is found via using genetic algorithm (GA). Finally, the simulation results show that the proposed method exhibits satisfied disturbance rejection performance even when additional matched disturbances are also considered. ? 2021 Technical Committee on Control Theory, Chinese Association of Automation.