Receding Horizon D-Optimal Input Design for Identification of Wireless Power Transfer Systems

This article develops a method of input design for the identification of wireless power transfer (WPT) systems based on receding horizon D-optimization. The dynamic behavior of the system is characterized by a discrete-time, single-input, single-output (SISO) model, and the associated model parameters are estimated by a recursive least-squares (RLS) method. To improve the quality of the parameter estimates, the excitation signal of the system is designed based on receding horizon D-optimization. To improve the convergence and efficiency of the input design process, the sequential quadratic programming (SQP) method is employed to solve the receding horizon D-optimization. Numerical and experimental results are presented to demonstrate the effectiveness of the proposed method.

Automated summary

This article proposes a method of input design for wireless power transfer (WPT) systems based on receding horizon D-optimization. The system's dynamic behavior is characterized by a discrete-time, single-input, single-output (SISO) model, and the model parameters are estimated using a recursive least-squares (RLS) method. The excitation signal of the system is designed based on receding horizon D-optimization to improve the quality of parameter estimates. The sequential quadratic programming (SQP) method is employed to solve the receding horizon D-optimization for improving convergence and efficiency of the input design process. Numerical and experimental results demonstrate the effectiveness of the proposed method.