Dong, Xin;
Mao, Jianliang;
Yan, Yunda;
Zhang, Chuanlin;
Yang, Jun;
(2024)
Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances With Application to PMSM Drives.
IEEE Transactions on Industrial Electronics
, 71
(1)
pp. 954-964.
10.1109/TIE.2023.3245213.
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Abstract
This article investigates a generalized dynamic predictive control (GDPC) strategy with a novel autonomous tuning mechanism of the horizon for a class of nonlinear systems subject to mismatched disturbances. As a new incremental function for the predictive control method, the horizon can be determined autonomously with respect to the system working conditions, instead of selecting a fixed value via experience before, which is able to effectively improve the control performance optimization ability to a certain extent considering different system perturbation levels. To this aim, firstly, a nonrecursive composite control framework is constructed based on a series of disturbance observations via higher-order sliding modes. Secondly, by designing a simple one-step scaling gain update mechanism into the receding horizon optimization, the horizon can be therefore adaptively tuned according to its real-time practical operating conditions. A three-order numerical simulation and a typical engineering application of permanent magnet synchronous motor drive system are carried out to demonstrate the effectiveness and conciseness of the proposed GDPC method.
Type: | Article |
---|---|
Title: | Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances With Application to PMSM Drives |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/TIE.2023.3245213 |
Publisher version: | https://doi.org/10.1109/TIE.2023.3245213 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Continuous-time predictive control, mismatched disturbance, permanent magnet synchronous motor (PMSM), robustness and adaptiveness balance, self-tuning receding horizon |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10188623 |




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