Improved Deadbeat Predictive Current Control Combined Adaptive Super-Twisting Algorithm Based Sliding-Mode Observer for Permanent-Magnet Synchronous Motors Drives
The deadbeat predictive current control (DPCC) is weakened by the one-step control delay and model parameters mismatch issues in the permanent-magnet synchronous motors (PMSM) drive system. In order to acquire the high dynamic and static performance, this paper proposes a sliding-mode observer basin...
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| Vydané v: | 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) s. 1749 - 1754 |
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01.06.2020
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| Abstract | The deadbeat predictive current control (DPCC) is weakened by the one-step control delay and model parameters mismatch issues in the permanent-magnet synchronous motors (PMSM) drive system. In order to acquire the high dynamic and static performance, this paper proposes a sliding-mode observer basing on adaptive super-twisting algorithm (ASTA-SMO) to improve DPCC method. First, the discrete-time model of PMSM considering the parameters mismatch is derived. Second, the conventional DPCC performance is analyzed when these two issues exist. Meanwhile, the second-order sliding-mode observer based on the super-twisting algorithm (STA-SMO) is constructed. Through the observer, the sampled current in DPCC is replaced by prediction currents to compensate one-step delay, and the estimated parameters disturbances compensate the voltage vector from DPCC. To further improve system dynamic performance and obtain stronger robustness, ASTA-SMO is proposed, which can vary the sliding-mode coefficients of STA-SMO online. Moreover, the switching function adopts hyperbolic tangent function to suppress the chattering. Finally, the proposed scheme is simulated, which is testified to have strong robustness and better current tracking performance with the load and motor parameters variations. |
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| AbstractList | The deadbeat predictive current control (DPCC) is weakened by the one-step control delay and model parameters mismatch issues in the permanent-magnet synchronous motors (PMSM) drive system. In order to acquire the high dynamic and static performance, this paper proposes a sliding-mode observer basing on adaptive super-twisting algorithm (ASTA-SMO) to improve DPCC method. First, the discrete-time model of PMSM considering the parameters mismatch is derived. Second, the conventional DPCC performance is analyzed when these two issues exist. Meanwhile, the second-order sliding-mode observer based on the super-twisting algorithm (STA-SMO) is constructed. Through the observer, the sampled current in DPCC is replaced by prediction currents to compensate one-step delay, and the estimated parameters disturbances compensate the voltage vector from DPCC. To further improve system dynamic performance and obtain stronger robustness, ASTA-SMO is proposed, which can vary the sliding-mode coefficients of STA-SMO online. Moreover, the switching function adopts hyperbolic tangent function to suppress the chattering. Finally, the proposed scheme is simulated, which is testified to have strong robustness and better current tracking performance with the load and motor parameters variations. |
| Author | Zhao, Fei Ban, Fei Lian, Guangkun Hou, Zhe |
| Author_xml | – sequence: 1 givenname: Fei surname: Zhao fullname: Zhao, Fei organization: University of Chinese Academy of Sciences,Beijing,China – sequence: 2 givenname: Guangkun surname: Lian fullname: Lian, Guangkun organization: Institute of Electrical Engineering Chinese Academy of Sciences – sequence: 3 givenname: Fei surname: Ban fullname: Ban, Fei organization: University of Chinese Academy of Sciences,Beijing,China – sequence: 4 givenname: Zhe surname: Hou fullname: Hou, Zhe organization: Institute of Electrical Engineering Chinese Academy of Sciences |
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| Snippet | The deadbeat predictive current control (DPCC) is weakened by the one-step control delay and model parameters mismatch issues in the permanent-magnet... |
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| SubjectTerms | adaptive super-twisting algorithm (ASTA) Current control deadbeat predictive current control (DPCC) Delays Heuristic algorithms Mathematical model Observers parameters mismatch Permanent-magnet synchronous motors (PMSM) sliding-mode observer (SMO) Stators Synchronous motors |
| Title | Improved Deadbeat Predictive Current Control Combined Adaptive Super-Twisting Algorithm Based Sliding-Mode Observer for Permanent-Magnet Synchronous Motors Drives |
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