Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning [PDF]
, 2020 Demand response (DR) becomes critical to manage the charging load of a growing electric vehicle (EV) deployment. Initial DR studies mainly adopt model predictive control, but models are largely uncertain for the EV scenario (e.g., customer behavior ...
Deleu, Johannes +2 more
core +1 more source
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
doaj +1 more source
Probabilistic guidance of distributed systems using sequential convex programming [PDF]
, 2014 In this paper, we integrate, implement, and validate formation flying algorithms for a large number of agents using probabilistic guidance of distributed systems with inhomogeneous Markov chains and model predictive control with sequential convex ...
Bandyopadhyay, Saptarshi +4 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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Finite Control Set Model-Free Predictive Current Control of a Permanent Magnet Synchronous Motor
Energies, 2022 In this paper, a finite control set model-free predictive current control (FCS-MFPCC) of a permanent magnet synchronous motor is presented. The control scheme addresses the problems of large current fluctuation and decline of the motor system performance
Mingmao Hu, Feng Yang, Yi Liu, Liang Wu
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Full predictive cascaded speed and current control of an induction machine [PDF]
, 2016 This paper presents and experimentally validates a new control scheme for electrical drive systems, named cascaded predictive speed and current control (PSCC). This new strategy uses the model predictive control concept.
Abu-Rub, Haitham +5 more
core +2 more sources
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser [PDF]
Modeling, Identification and Control, 2016 Simplified linearized discrete time dynamic state space models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. In addition the Meglio pipeline-riser model is used as an
Christer Dalen, David Di Ruscio
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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, Xin Yuan, Chengning Zhang
openaire +4 more sources
Conflict-free trajectory planning based on the model predictive control theory [PDF]
Archives of Transport, 2016 Model Predictive Control (MPC) is a model-based control method based on a receding horizon approach and online optimization. A key advantage of MPC is that it can accommodate constraints on the inputs and outputs.
Han Yun-xiang, Huang Xiao-qiong
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