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Model-free predictive control for power decoupling integrated PFC converters

2019 22nd International Conference on Electrical Machines and Systems (ICEMS), 2019
An innovative integration of the second-order ultra-local model and deadbeat predictive control tactic is proposed to reinforce the performance of the power decoupling circuit. Consequently, bulky electrolytic capacitors can be eliminated, and the reliability of PFC converter can be improved.
Xikang Dong   +5 more
openaire   +1 more source

Model-free predictive current control of a voltage source inverter

2015 IEEE 2nd International Future Energy Electronics Conference (IFEEC), 2015
This work presents a model-free predictive current control (MFPCC) that is suitable for a voltage source inverter with a decoupled three-phase load. With this method, the load currents and the load current differences are available to predict the future load currents associated with eight possible switching states, generated by the inverter.
null Cheng-Kai Lin   +4 more
openaire   +1 more source

Polynomial regression based model-free predictive control for nonlinear systems

2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2016
In this paper, we introduce model-free predictive control based on a polynomial regression expression for nonlinear systems. In contrast to conventional methods, model-free predictive control does not explicitly require a mathematical model of the controlled systems. In stead of the model, it utilizes massive stored and observed input/output dataset to
Hongran Li, Shigeru Yamamoto
openaire   +1 more source

An improved model-free predictive current control of PWM rectifiers

2017 20th International Conference on Electrical Machines and Systems (ICEMS), 2017
Model predictive current control (MPCC) is a powerful control strategy for the control of three-phase power converters. Conventional MPCC achieves good steady state performance and quick dynamic response by selecting the optimal voltage vector. However, this method is highly dependent on the accuracy of the model and parameters, which means that the ...
Yongchang Zhang, Jie Liu
openaire   +1 more source

Torque-Ripple-Mitigated Model-Free Predictive Current Control With Extended Control Set for PMSMs

IEEE Transactions on Magnetics
Intermag 2024 Presentation: VP8: Motor Drives, Bearing, Testing and ...
Zhihao Zhu   +6 more
openaire   +1 more source

Model-Free Predictive Direct Speed Control for SPMSM Drives

2022 IEEE International Power Electronics and Application Conference and Exposition (PEAC), 2022
Shu Cheng   +4 more
openaire   +1 more source

A Switched Ultra-Local Model-Free Predictive Controller for PMSMs

IEEE Transactions on Power Electronics
Existing model-free predictive control (MFPC) methods are primarily based on mature controller design formulas, with various observers added to these controllers. Currently, there is a lack of modifications to the mechanism of modelfree predictive control itself.
Zhenxiao Yin   +5 more
openaire   +2 more sources

Model-Free Data-Driven Predictive Control Using Reinforcement Learning

2023 62nd IEEE Conference on Decision and Control (CDC), 2023
Shambhuraj Sawant   +3 more
openaire   +1 more source

Two-step Model-free Predictive Current Control for PMSM

2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2023
Yaohua Li   +5 more
openaire   +1 more source

Continuous-Control-Set Model-Free Predictive Fundamental Current Control for PMSM System

IEEE Transactions on Power Electronics, 2023
Fengxiang Wang   +5 more
openaire   +1 more source

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