T–S Fuzzy Model-Based Fault Detection for Inductively Coupled Power Transfer Systems With Coil Misalignment

This article investigates the fault detection problem for a series–parallel inductive coupled power transfer (SP-ICPT) system with coil misalignment and external disturbances. Different from most of the existing modeling method, a novel generalized state-space averaging (GSSA) model, based on the Takagi–Sugeno (T–S) fuzzy method, is established to describe the dynamic characteristics of the SP-ICPT system, wherein the system performance variations caused by coil misalignment and external disturbances are well represented in the proposed model. Considering the detrimental impact of coil misalignment and system faults on the SP-ICPT system, a fuzzy unknown input observer (UIO) is proposed to detect the system faults, and the observer gains are further provided by solving a set of linear matrix inequalities (LMIs). Finally, the feasibility and reliability of the proposed fault detection scheme are verified through simulation results.