| Author: | Ye, Zhenxing |
| Title: | Dynamic, long-distance, and three-dimensional wireless power transfer systems based on advanced model predictive control techniques |
| Advisors: | Or, Siu Wing Derek (EEE) Cheng, Ka Wai Eric (EEE) |
| Degree: | Ph.D. |
| Year: | 2025 |
| Subject: | Wireless power transmission Predictive control Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | xxvii, 196 pages : color illustrations |
| Language: | English |
| Abstract: | This thesis provides an exhaustive exploration of the optimization and innovation of wireless power transfer (WPT) systems under dynamic, long-distance, and multi-dimensional delivery conditions. As WPT technology continues to grow in importance for industrial automation, intelligent transportation, and the Internet of Things (IoT), the current generation of WPT systems faces serious challenges in terms of efficiency impairment under dynamic conditions; sensitivity to spatial misalignment; energy loss over long distances; and difficulty in transitioning from a two-dimensional coverage architecture to three-dimensional coverage. The research is divided into four primary modules. In the first module, we develop a multi-output WPT system that utilizes Model Predictive Control (MPC), fused with Kalman filtering for real-time, accurate state estimation and robust dynamic control. This strategy improves system stability and responsiveness compared to the traditional PI control approach under changing load and alignment conditions. In the second module, we propose a new long-distance dynamic WPT system based on long Helmholtz coils. The optimized coil configuration and placement of the transmitter and receiver coils enable even magnetic field distribution and stable mutual inductance, while maintaining high transfer efficiency over large air gaps and during dynamic movements of the receiver. The third module provides a multi-transmitter dual-receiver system that incorporates an adaptive MPC-based control strategy. The new architecture allows for continuous and balanced power supply along complex dynamic pathways, effectively eliminating dead zones and compensating for power bumps due to misaligned coils during receiver transitions. The scheme's adaptive control mechanism involves the dynamic adjustment of both the prediction horizon length and control step size evaluated by the real-time power error and variance, ensuring the optimal distribution of power across multiple devices. Finally, in the fourth module, we extend WPT from planar to three-dimensional spatial power transfer and develop orthogonally arranged transmitting coils and MPC-MPPT control action for implementing a three-dimensional wireless power charging coordinate frame. The strategy shows strong capability to maintain efficient and stable energy transfer to a receiver whose path was executed in six degrees of freedom (6-DoF), and in the process demonstrates increased energy efficiency in the extended space charging range. Overall, the thesis serves to provide a holistic and scalable framework for enhanced wireless power transfer systems that will promote significance in both scholarly research and practical application. By providing developmental control algorithms, electromagnetic architectures, and experimental data, this work develops solutions to the fundamental limitations of conventional WPT systems and establishes our performance benchmarks in efficiency, robustness, and spatial flexibility. The proposed methodology provides autonomous energy transfer for wireless power transfer systems under dynamic, long-distance, and multi-dimensional conditions, thus allowing WPT technology to be broadly deployed in industrial automation, intelligent transportation systems, and IoT applications. |
| Rights: | All rights reserved |
| Access: | open access |
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