文献类型：期刊文献

英文题名：Periodic Event-Triggered Terminal Sliding Mode Speed Control for Networked PMSM System: A GA-Optimized Extended State Observer Approach

作者：Song, Jun[1];Wang, Yu-Kun[2,3];Niu, Yugang[2,3];Lam, Hak-Keung[4];He, Shuping[5];Liu, Hongjian[6]

机构：[1]Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai 200092, Peoples R China;[4]Kings Coll London, Dept Engn, London WC2R 2LS, England;[5]Anhui Univ, Sch Elect Engn & Automat, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China;[6]Anhui Polytech Univ, Key Lab Adv Percept & Intelligent Control High En, Minist Educ, Wuhu 241000, Peoples R China

年份：2022

卷号：27

期号：5

起止页码：4153

外文期刊名：IEEE-ASME TRANSACTIONS ON MECHATRONICS

收录：;EI(收录号：20221011758610);WOS:【SCI-EXPANDED(收录号:WOS:000764866900001)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61903143, Grant 62073139, and Grant 62073001, in part by the Shanghai Chenguang Program under Grant 19CG33, in part by the University Synergy Innovation Program of Anhui Province under Grant GXXT-2021-010, in part by the Key Support Program of University Outstanding Youth Talent of Anhui Province under Grant gxydZD2017001, in part by the Natural Science Foundation of Anhui Province under Grant 2108085MA07, and in part by the AHPU Youth Top-Notch Talent Support Program under Grant 2018BJRC009.

语种：英文

外文关键词：Extended state observer (ESO); genetic algorithm (GA); periodic event-triggered mechanism; permanent-magnet synchronous motor (PMSM); terminal sliding mode control (TSMC)

摘要：This article proposes a novel periodic event-triggered terminal sliding mode speed regulation scheme for the networked permanent-magnet synchronous motor (PMSM). The novel speed regulation strategy combines advantages of both terminal sliding mode control (TSMC) and periodic event-triggered mechanism. The satisfied speed regulation performance can be guaranteed by using TSMC to compensate the external disturbances and parameter uncertainties. The communication burden between the central controller and the remote motor is reduced by the periodic event-triggered protocol. To reduce the chattering in the TSMC signal, an extended state observer (ESO) is further introduced to estimate all possible perturbations, in which the upper bound of the estimation error is analyzed explicitly. Then, a binary-based genetic algorithm (GA) is adopted to find the optimal observer parameters. A key challenge here is how to estimate the actual bound of the triggering error under the periodic event-triggered mechanism. To this end, an explicit selection criterion of the periodic sampling period is developed by utilizing the known constrained information of the PMSM. It is proven that the proposed novel periodic event-triggered TSMC with a proper selection of the control gain can guarantee the reachability of the sliding region and the ultimate boundedness of the regulation errors simultaneously. Finally, the effectiveness of the proposed novel periodic event-triggered TSMC via a GA-optimized ESO is demonstrated in both simulation and experiment results for a real PMSM platform.