Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances with Application to PMSM Drives
dc.cclicence | CC-BY-NC | en |
dc.contributor.author | Dong, Xin | |
dc.contributor.author | Mao, Jianliang | |
dc.contributor.author | Yan, Yunda | |
dc.contributor.author | Zhang, Chuanlin | |
dc.contributor.author | Yang, Jun | |
dc.date.accessioned | 2023-03-02T16:17:36Z | |
dc.date.available | 2023-03-02T16:17:36Z | |
dc.date.issued | 2023-02-22 | |
dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
dc.description.abstract | This paper 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 non-recursive 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 (PMSM) drive system are carried out to demonstrate the effectiveness and conciseness of the proposed GDPC method. | en |
dc.funder | No external funder | en |
dc.identifier.citation | Dong, X. et al. (2023) Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances with Application to PMSM Drives. IEEE Transactions on Industrial Electronicsz, 71 (1), pp. 954-964 | en |
dc.identifier.doi | https://doi.org/10.1109/tie.2023.3245213 | |
dc.identifier.issn | 0278-0046 | |
dc.identifier.uri | https://hdl.handle.net/2086/22546 | |
dc.language.iso | en | en |
dc.peerreviewed | Yes | en |
dc.publisher | IEEE | en |
dc.researchinstitute | Institute of Engineering Sciences (IES) | en |
dc.subject | continuous-time predictive control | en |
dc.subject | self-tuning receding horizon | en |
dc.subject | mismatched disturbance | en |
dc.subject | robustness and adaptiveness balance | en |
dc.subject | PMSM | en |
dc.title | Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances with Application to PMSM Drives | en |
dc.type | Article | en |
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