Results 11 to 20 of about 300,342 (251)
Model-Free Predictive Control Using Polynomial Regressors
SICE Journal of Control, Measurement, and System Integration, 2017 Model-free predictive control directly computes the control input from massive input/output datasets and does not use a mathematical model. In contrast, conventional model predictive control relies on mathematical models.
Hongran Li, Shigeru Yamamoto
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Model-Free Predictive Control of Motor Drives: A Review
CES Transactions on Electrical Machines and SystemsModel predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic performance.
Chenhui Zhou +2 more
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An Improved Model Free Predictive Current Control for PMSM With Current Prediction Error Variations
IEEE Access, 2022 The conventional model predictive current control is a model-based control method, and the accuracy of the predicted currents is affected by motor parameters such as flux linkage, inductance, and resistance. To get rid of model parameters dependencies, a model-free predictive current control (MFCC) was proposed before, which can improve the parameter ...
Peng Wang +2 more
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IET Power Electronics, 2023 A large current ripple may arise in the finite control set model‐free predictive current control (FCS‐MFPCC) strategy because only one voltage vector can be applied during the whole control period.
Zheng Sun +3 more
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Model-Free Neural Network-Based Predictive Control for Robust Operation of Power Converters
Energies, 2021 An accurate definition of a system model significantly affects the performance of model-based control strategies, for example, model predictive control (MPC).
Sanaz Sabzevari +4 more
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Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control
IET Electric Power Applications, 2021 During the operation of a permanent magnet synchronous motor (PMSM), the control system is impacted by changes in the internal parameters and by external disturbances, resulting in reduced accuracy.
Lingliang Xu, Guiming Chen, Qiaoyang Li
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Modelling Free Response of a Solar Plant for Predictive Control [PDF]
IFAC Proceedings Volumes, 1997 This paper deals with the identification of a nonlinear plant by means of a neural network (NN) modelling approximation. The problem of neural identification is tackled using a static NN in a NARX configuration. A method is proposed to obtain the number of past values needed to feed the network.
Berenguel Soria, Manuel +2 more
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Offset-Free Model Predictive Control for Active Magnetic Bearing Systems
Actuators, 2018 This paper presents the study of linear Offset-Free Model Predictive Control (OF-MPC) for an Active Magnetic Bearing (AMB) application. The method exploits the advantages of classical MPC in terms of stability and control performance and, at the same ...
Angelo Bonfitto +3 more
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MPC-Based Offset-Free Tracking Control for Intermittent Transonic Wind Tunnel
IEEE Access, 2020 This paper addresses the offset-free model predictive control (MPC) for the intermittent transonic wind tunnel (ITWT). The offset-free property holds by introducing the controller state equation which introduces an integral action, while the controller ...
Baocang Ding, Jun Wang, Xiaoming Tang
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DSVM-Based Model-Free Predictive Current Control of an Induction Motor
Energies, 2023 Classical model-free predictive current control (MFPCC) is a robust control technique for a two-level inverter-fed induction-motor drive, with advantages that consist of a simple concept, rapid response, simple implementation, and excellent performance ...
Md Asif Hussain +5 more
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