Observer-Based Control of Inductive Wireless Power Transfer System Using Genetic Algorithm

In this paper, we studied the feedback stabilization of an inductive power transfer system based on available output measurement. The proposed controller relies a full-order state observer in order to estimate unmeasured state. control design problem is challenging due large dimension closed-loop system, which requires too many tuning parameters be determined when conventional methods are employed. To solve issue, propose LQR methodology genetic algorithm such that weighing coefficients cost function matrices can automatically computed optimized manner. approach combines method eigenstructure assignment and technique both gain matrices. provides systematic way compute for wireless manner, useful tool other applications. effectiveness was verified by numerical simulation dynamic model system. results show outperforms terms better performance reduced iterations effort.