Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions

With the troubles of core losses and all-state confined to certain limitations which are the innate traits of permanent magnet synchronous motors (PMSMs), this article develops a command filtered adaptive backstepping approach to follow the track of PMSM’s desired rotor position. To begin with, the...

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Main Authors: Xiaoling Wang, Jinpeng Yu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6673568
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author Xiaoling Wang
Jinpeng Yu
author_facet Xiaoling Wang
Jinpeng Yu
author_sort Xiaoling Wang
collection DOAJ
description With the troubles of core losses and all-state confined to certain limitations which are the innate traits of permanent magnet synchronous motors (PMSMs), this article develops a command filtered adaptive backstepping approach to follow the track of PMSM’s desired rotor position. To begin with, the RBF neural network technique is utilized to get close to the uncharted nonlinear terms which existed in PMSM’s mathematical model. Meanwhile, an advanced adaptive command filter control methodology is constructed to avoid the computing explosion during the process of backstepping design. Furthermore, to make sure that all the state variables are confined into certain ranges, we employed the barrier Lyapunov function (BLF) at every step of the controllers construction. In addition, an error compensating mechanism is proposed to neutralize filtering errors and only one adaptive law is required. At last, simulation results bear out the superiority of the aforementioned control scheme.
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institution Kabale University
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publishDate 2021-01-01
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series Complexity
spelling doaj-art-f72d71d9fd57400d906e0cc0c7ab3e942025-02-03T00:58:58ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66735686673568Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State RestrictionsXiaoling Wang0Jinpeng Yu1College of Automation, Qingdao University, Qingdao 266071, Shandong, ChinaCollege of Automation, Qingdao University, Qingdao 266071, Shandong, ChinaWith the troubles of core losses and all-state confined to certain limitations which are the innate traits of permanent magnet synchronous motors (PMSMs), this article develops a command filtered adaptive backstepping approach to follow the track of PMSM’s desired rotor position. To begin with, the RBF neural network technique is utilized to get close to the uncharted nonlinear terms which existed in PMSM’s mathematical model. Meanwhile, an advanced adaptive command filter control methodology is constructed to avoid the computing explosion during the process of backstepping design. Furthermore, to make sure that all the state variables are confined into certain ranges, we employed the barrier Lyapunov function (BLF) at every step of the controllers construction. In addition, an error compensating mechanism is proposed to neutralize filtering errors and only one adaptive law is required. At last, simulation results bear out the superiority of the aforementioned control scheme.http://dx.doi.org/10.1155/2021/6673568
spellingShingle Xiaoling Wang
Jinpeng Yu
Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions
Complexity
title Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions
title_full Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions
title_fullStr Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions
title_full_unstemmed Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions
title_short Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions
title_sort command filtering and barrier lyapunov function based adaptive control for pmsms with core losses and all state restrictions
url http://dx.doi.org/10.1155/2021/6673568
work_keys_str_mv AT xiaolingwang commandfilteringandbarrierlyapunovfunctionbasedadaptivecontrolforpmsmswithcorelossesandallstaterestrictions
AT jinpengyu commandfilteringandbarrierlyapunovfunctionbasedadaptivecontrolforpmsmswithcorelossesandallstaterestrictions