Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances With Application to PMSM Drives

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 determin...

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Published inIEEE transactions on industrial electronics (1982) Vol. 71; no. 1; pp. 954 - 964
Main Authors Dong, Xin, Mao, Jianliang, Yan, Yunda, Zhang, Chuanlin, Yang, Jun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Continuous-time predictive control
Control methods
Disturbances
Drives
Employee welfare
mismatched disturbance
Nonlinear control
Nonlinear systems
Optimization
permanent magnet synchronous motor (PMSM)
Permanent magnets
Perturbation
Predictive control
Regulation
robustness and adaptiveness balance
self-tuning receding horizon
Synchronous motors
Trajectory
Vehicle dynamics
Online AccessGet full text
ISSN0278-0046
1557-9948
1557-9948
DOI10.1109/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.
AbstractList 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.
Author Dong, Xin
Mao, Jianliang
Yan, Yunda
Zhang, Chuanlin
Yang, Jun
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SubjectTerms Continuous-time predictive control
Control methods
Disturbances
Drives
Employee welfare
mismatched disturbance
Nonlinear control
Nonlinear systems
Optimization
permanent magnet synchronous motor (PMSM)
Permanent magnets
Perturbation
Predictive control
Regulation
robustness and adaptiveness balance
self-tuning receding horizon
Synchronous motors
Trajectory
Vehicle dynamics
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Title Generalized Dynamic Predictive Control for Nonlinear Systems Subject to Mismatched Disturbances With Application to PMSM Drives
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