Constant-Power and Maximum Efficiency Tracking Control of Fuzzy IPT Systems With Communication Delays

The inductive power transfer (IPT) technology, as one of the main wireless power transfer methods, has been prevalent in both industrial and commercial applications. However, the circuit parameter perturbations and communication delays will deteriorate the transfer performance, including output fluctuation and efficiency drop. To deal with the above mentioned issues and maximize the transfer efficiency, a boost converter is first cascaded after series-series IPT topology, then a novel control strategy is proposed to fulfill the constant power output with maximum efficiency tracking (MET). In the proposed strategy, the MET condition can be derived regardless of coupling coefficient and load resistance through elaborate design. Next, the stability of nonlinear IPT systems subjected to communication delays is modeled and described based on the concept of Takagi-Sugeno (T-S) fuzzy models. Furthermore, an event-triggered
${H_{\infty }}$
fuzzy controller is designed to improve the robustness (against perturbations of coupling coefficient, loads and communication delay), and reduce the computation and transmission burden. Finally, the effectiveness of the suggested strategy is shown using the simulation results. Note to Practitioners—Maintaining a constant output power and high transmission efficiency remains a challenging task in IPT technology due to parameter variations, communication delays and model nonlinearity, especially in the charging scenarios of drones and electric vehicles. Therefore, an event-triggered
$ \boldsymbol {H_{\infty} }$
fuzzy controller is proposed to cope with aforementioned situations such that the constant output power with high efficiency is guaranteed. Even in the presence of communication delays, the proposed strategy can still maintain stable output with high efficiency. In addition, the proposed method is equipped with the event-triggered mechanism to reduce the frequency of controller updates and transmission burden while maintaining the transient performance. The outcome of this paper provides a simple but useful MET condition and controller design procedure that can be employed to maintain the reliable and stable operation of IPT systems and optimize their transfer efficiency.