Journal of Civil Aviation University of China ›› 2021, Vol. 39 ›› Issue (6): 33-37.

• Civil Aviation • Previous Articles     Next Articles

Frequency tracking control strategy based on fuzzy neural network PI control

GAO Jianshu,ZHANG Qinwei  ,YAN Wen   

  1. (a. College of Airport Engineering; b. College of Electronic Information and Automation, CAUC, Tianjin 300300, China)
  • Received:2021-02-06 Revised:2021-02-06 Accepted:2020-12-22 Online:2021-12-01 Published:2022-06-05

Abstract: Aiming at the frequency detuning problem of the magnetic coupling resonant wireless charging system and the shortcomings of existing resonance frequency adjustment methods, a resonant frequency tracking control strategy based on fuzzy neural network proportional integral (PI) control is proposed. Matlab/Simulink is used to build the system model, to simulate and analyze the proposed control strategy. Simulation results show that compared with the traditional PI control and fuzzy PI control, the fuzzy neural network PI control has the advantages of faster speed and shorter adjustment time for the system, and has smallest overshoot and shortest adjustment time under disturbance, which further verifies the effectiveness and better anti-interference ability of the proposed control strategy

Key words: magnetically coupled resonance, wireless power transfer, fuzzy neural network, resonance frequency tracking

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