Journal article
Internal model control of PMSM position servo system: Theory and experimental results
IEEE Transactions on Industrial Informatics, Vol.16(4), pp.2202-2211
2020
Abstract
Much recently, an internal model approach from output regulation theory has been adopted to solve the speed tracking control problem of the permanent magnet synchronous motor (PMSM) system on simulation level. A striking advantage of this approach is that it can achieve multiple goals including trajectory tracking, disturbance rejection, and robustness simultaneously. This article further studies a position tracking control problem of the PMSM system under nonlinear load torque disturbance. A nonlinear internal model based output feedback controller is proposed, which can achieve exact position tracking and allow certain parameter uncertainties. Besides simulation results, a real-time experimental setup is built and experimental results are provided to illustrate the effectiveness of the proposed controller. It is worth mentioning that the proposed controller can lead to a high precision position tracking performance under nonlinear load torque disturbance.
Details
- Title
- Internal model control of PMSM position servo system: Theory and experimental results
- Authors/Creators
- Z. Ping (Author/Creator) - Hefei University of TechnologyT. Wang (Author/Creator) - Hefei University of TechnologyY. Huang (Author/Creator) - Hefei University of TechnologyH. Wang (Author/Creator) - Murdoch UniversityJ-G Lu (Author/Creator) - Shanghai Jiao Tong UniversityY. Li (Author/Creator) - Hefei University of Technology
- Publication Details
- IEEE Transactions on Industrial Informatics, Vol.16(4), pp.2202-2211
- Publisher
- IEEE
- Identifiers
- 991005540117107891
- Copyright
- © 2020 IEEE
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.136 Electric Motor Control
- Web Of Science research areas
- Automation & Control Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Industrial
- ESI research areas
- Engineering