PMID- 38431455 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20240413 IS - 1879-2022 (Electronic) IS - 0019-0578 (Linking) VI - 147 DP - 2024 Apr TI - Predefined-time position tracking optimization control with prescribed performance of the induction motor based on observers. PG - 187-201 LID - S0019-0578(24)00084-3 [pii] LID - 10.1016/j.isatra.2024.02.021 [doi] AB - To solve the position control problem of the induction motor with parameter perturbations, load disturbances, and modeling errors, a predefined-time position tracking optimization control method with prescribed performance is proposed. In practice, the rotor flux linkage of the induction motor can't be measured, and a predefined-time sliding mode observer (PTSMO) is applied to accurately estimate it. Additionally, predefined-time disturbance observers (PTDOs) are employed to identify the uncertainties in the motor system. The position and flux linkage controllers are then designed by integrating the predefined-time control approach with the prescribed performance function method, realizing accurate tracking control of the induction motor within a predefined time. Next, the adaptive genetic algorithm (AGA) and the improved particle swarm optimization (IPSO) technique are combined to optimize the designed controllers, enhancing the convergence rate and steady-state accuracy of the induction motor. Finally, comparative analyses through simulations and dSPACE simulated experiments validate the efficacy of the proposed control method, highlighting its applicability in practical motor systems. CI - Copyright (c) 2024 ISA. Published by Elsevier Ltd. All rights reserved. FAU - Liu, Le AU - Liu L AD - Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; Key Laboratory of Intelligent Rehabilitation and Neromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China. Electronic address: leliu@ysu.edu.cn. FAU - Liu, Peng AU - Liu P AD - Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; Key Laboratory of Intelligent Rehabilitation and Neromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China. FAU - Teng, Zhaopeng AU - Teng Z AD - Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; Key Laboratory of Intelligent Rehabilitation and Neromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China. FAU - Zhang, Lei AU - Zhang L AD - Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; Key Laboratory of Intelligent Rehabilitation and Neromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China. FAU - Fang, Yiming AU - Fang Y AD - Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; Key Laboratory of Intelligent Rehabilitation and Neromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China. LA - eng PT - Journal Article DEP - 20240226 PL - United States TA - ISA Trans JT - ISA transactions JID - 0374750 SB - IM OTO - NOTNLM OT - Flux linkage observation OT - Hybrid intelligent optimization algorithm OT - Induction motor OT - Predefined-time prescribed performance control COIS- Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2024/03/03 17:42 MHDA- 2024/03/03 17:43 CRDT- 2024/03/02 21:54 PHST- 2023/07/29 00:00 [received] PHST- 2024/02/22 00:00 [revised] PHST- 2024/02/22 00:00 [accepted] PHST- 2024/03/03 17:43 [medline] PHST- 2024/03/03 17:42 [pubmed] PHST- 2024/03/02 21:54 [entrez] AID - S0019-0578(24)00084-3 [pii] AID - 10.1016/j.isatra.2024.02.021 [doi] PST - ppublish SO - ISA Trans. 2024 Apr;147:187-201. doi: 10.1016/j.isatra.2024.02.021. Epub 2024 Feb 26.