- Title
- Dynamic improvement of inductive power transfer systems with maximum energy efficiency tracking using model predictive control : analysis and experimental verification
- Creator
- Liu, Shunpan; Mai, Ruikun; Zhou, Li; Li, Yong; Hu, Jiefeng; He, Zhengyou; Yan, Zhaotian; Wang, Shiqi
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/173775
- Identifier
- vital:14729
- Identifier
-
https://doi.org/10.1109/TPEL.2020.2992517
- Identifier
- ISBN:0885-8993 (ISSN)
- Abstract
- For inductive power transfer (IPT) systems, loads and system input voltages are subject to change, which affects system efficiency and stability. This article presents a perturbation and observation (P&O) method for maximum energy efficiency tracking (MEET) with a model predictive control (MPC) scheme for improving the dynamic performance of series-series compensated IPT systems. In the IPT system, the inverter at the primary side incorporates the P&O method and phase shift modulation (PSM) to minimize system input power. Meanwhile, the rectifier at the secondary side is controlled by MPC control based PSM to improve the dynamic response of the output voltage. Simulated and experimental results show that, compared to the PI controller, the MPC controller, based on a simple but accurate mathematical model, has a better dynamic response to load and input voltage variations. With the MPC controller, the settling time of the output voltage is reduced by 85.7%, which indicates a particularly stable power supply to the load. Furthermore, MEET adopting the P&O method in the IPT system can promote the system efficiency by 1.85% on average when the output voltage is regulated by the MPC controller. © 1986-2012 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Transactions on Power Electronics Vol. 35, no. 12 (2020), p. 12752-12764
- Rights
- Copyright © 2020 IEEE
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0906 Electrical and Electronic Engineering; Dynamic mathematical model; inductive power transfer (IPT); maximum energy efficiency tracking (MEET); model predictive control (MPC); perturbation and observation (P&O)
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