Djordje Stojić
New Hysteresis FCS-MPC AC Current Controller With Disturbance Estimator
Stojić, Djordje; Rivera, Marco
Abstract
In this paper, a modification is proposed in the conventional finite control set model predictive controller (FCS-MPC) applied in the three-phase voltage source inverter's (VSI's) output current control with resistive-inductive (RL) load. It comprises the introduction of the novel type of hysteresis based comparator in the cost function evaluation implemented with a single-step prediction horizon, which represents an improvement when compared to existing solutions. In this way, effective reduction of the VSI output voltage high switching frequency is achieved, by implementing a simplified predictive current control algorithm. Also, effective disturbance estimator algorithm is proposed, which enables the operation of a hysteresis FCS-MPC with RL load and with unmeasurable external disturbances. Simulation and experimental tests are used in the paper to prove the effectiveness of the proposed solution, showing the extent of the impact that the chosen cost evaluation comparator hysteresis value has on the resulting average power converter switching frequency, for the model predictive control current controller operating with the zero steady-state error.
Citation
Stojić, D., & Rivera, M. (2023). New Hysteresis FCS-MPC AC Current Controller With Disturbance Estimator. Electrical Engineering, https://doi.org/10.1007/s00202-023-01812-8
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 22, 2023 |
Online Publication Date | Apr 12, 2023 |
Publication Date | Apr 12, 2023 |
Deposit Date | May 12, 2023 |
Publicly Available Date | Apr 13, 2024 |
Journal | Electrical Engineering |
Print ISSN | 0948-7921 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1007/s00202-023-01812-8 |
Keywords | Asymptotic current control · Cost function hysteresis comparator · Disturbance estimator · Finite control set model predictive control · Power converter switching frequency |
Public URL | https://nottingham-repository.worktribe.com/output/20566425 |
Publisher URL | https://link.springer.com/article/10.1007/s00202-023-01812-8 |
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