학술논문

Dynamic Improvement and Efficiency Optimization of Wireless Power Transfer Systems Using Improved FCS-MPC and P&O Methods
Document Type
Periodical
Source
IEEE Transactions on Power Electronics IEEE Trans. Power Electron. Power Electronics, IEEE Transactions on. 38(11):14702-14718 Nov, 2023
Subject
Power, Energy and Industry Applications
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Signal Processing and Analysis
Transportation
Voltage control
Perturbation methods
Oscillators
Control systems
Switches
Rectifiers
Predictive control
Dynamic improvement
finite-control-set model predictive control (FCS-MPC)
maximum energy efficiency tracking (MEET)
perturbation and observation (P&O)
wireless power transfer (WPT)
Language
ISSN
0885-8993
1941-0107
Abstract
This article proposes a novel control scheme using finite-control-set model predictive control (FCS-MPC) and perturbation and observation (P&O) method for the dynamic improvement and efficiency optimization of dual-side LCL compensated wireless power transfer systems. First, the rectifier at the secondary side incorporates the proposed FCS-MPC with adaptive step-size and improved cost function to achieve the fast response of output voltage. The linear extended state observer is designed to combine with FCS-MPC to avoid using extra current sensors. The two-stage series prediction method is proposed to reduce the computational burden. Meanwhile, on the premise of ensuring the stability of output voltage, the inverter at the primary side is controlled by the adaptive P&O method for maximum energy efficiency tracking (MEET) by minimizing the input dc current. Different system stages, i.e., tracking stage and oscillation stage, for MEET are defined and distinguished. The adaptive perturbation step-size is designed according to different system stages so as to remove the tradeoff between the oscillation and convergence rate in the conventional method. Finally, the effectiveness of the cooperative control of FCS-MPC and adaptive P&O method is verified by experimental results.