Event-based disturbance compensation control for discrete-time SPMSM with mismatched disturbances. Issue 4 (12th March 2021)
- Record Type:
- Journal Article
- Title:
- Event-based disturbance compensation control for discrete-time SPMSM with mismatched disturbances. Issue 4 (12th March 2021)
- Main Title:
- Event-based disturbance compensation control for discrete-time SPMSM with mismatched disturbances
- Authors:
- Wang, Min
Wang, Lixue
Huang, Ruipeng
Yang, Chenguang - Abstract:
- Abstract : This paper investigates the problem of event-based disturbance compensation control for discrete-time surface-mounted permanent magnet synchronous motor (SPMSM) subject to both mismatched external disturbances and the limited communication bandwidth. The mismatched external disturbances make it impossible to transform the original model into the multiple-step-ahead predictor model by using the existing predictor technology. To tackle such a challenge, a novel backstepping-based disturbance compensation control framework is firstly proposed for the discrete-time SPMSM with known system dynamics. In the proposed framework, the disturbance observer is designed to compensate for the external disturbances, and the novel variable substitution/decoupling technology is proposed to design the event-based controller for the original controlled system. The proposed controller is composed of the event-based feedback control signal and the feedforward disturbance compensation signal, thereby improving the system disturbance rejection ability and mitigating the communication resource. Subsequently, an event-based adaptive neural control scheme is proposed by combining a modified neural disturbance observer. The proposed scheme ensures that the tracking error converges to a small neighbourhood of the origin, all the signals in the closed-loop system are bounded and meanwhile the communication resources are greatly reduced. The effectiveness of the proposed controller isAbstract : This paper investigates the problem of event-based disturbance compensation control for discrete-time surface-mounted permanent magnet synchronous motor (SPMSM) subject to both mismatched external disturbances and the limited communication bandwidth. The mismatched external disturbances make it impossible to transform the original model into the multiple-step-ahead predictor model by using the existing predictor technology. To tackle such a challenge, a novel backstepping-based disturbance compensation control framework is firstly proposed for the discrete-time SPMSM with known system dynamics. In the proposed framework, the disturbance observer is designed to compensate for the external disturbances, and the novel variable substitution/decoupling technology is proposed to design the event-based controller for the original controlled system. The proposed controller is composed of the event-based feedback control signal and the feedforward disturbance compensation signal, thereby improving the system disturbance rejection ability and mitigating the communication resource. Subsequently, an event-based adaptive neural control scheme is proposed by combining a modified neural disturbance observer. The proposed scheme ensures that the tracking error converges to a small neighbourhood of the origin, all the signals in the closed-loop system are bounded and meanwhile the communication resources are greatly reduced. The effectiveness of the proposed controller is illustrated through the simulation results. … (more)
- Is Part Of:
- International journal of systems science. Volume 52:Issue 4(2021)
- Journal:
- International journal of systems science
- Issue:
- Volume 52:Issue 4(2021)
- Issue Display:
- Volume 52, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 52
- Issue:
- 4
- Issue Sort Value:
- 2021-0052-0004-0000
- Page Start:
- 785
- Page End:
- 804
- Publication Date:
- 2021-03-12
- Subjects:
- Adaptive neural control -- event-triggered control -- disturbance observer -- discrete-time system -- surface-mounted permanent magnet synchronous motors
System analysis -- Periodicals
003.3 - Journal URLs:
- http://www.tandf.co.uk/journals/titles/00207721.asp ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00207721.2020.1840650 ↗
- Languages:
- English
- ISSNs:
- 0020-7721
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.693000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22735.xml