Proceedings of the KIPE Conference (전력전자학회:학술대회논문집)

The Korean Institute of Power Electronics (전력전자학회)
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Artificial Intelligence Gain-scheduling Adaptive PI Controller Scheme for Dual Active Bridge Converter

Dual Active Bridge 컨버터를 위한 인공지능 적응형 Gain-scheduling PI 제어기

  • Kim, Sul-Gi (School of Electrical and Computer Engineering Ulsan National University of Science and Technology) ;
  • Choi, Hyun-Jun (School of Electrical and Computer Engineering Ulsan National University of Science and Technology) ;
  • Jung, Jee-Hoon (School of Electrical and Computer Engineering Ulsan National University of Science and Technology)
  • 김슬기 (울산과학기술대학교 전기전자컴퓨터공학부) ;
  • 최현준 (울산과학기술대학교 전기전자컴퓨터공학부) ;
  • 정지훈 (울산과학기술대학교 전기전자컴퓨터공학부)
  • Published : 2014.07.01
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Abstract

This paper presents an artificial intelligence - Deep Belief Network (DBN) gain-scheduling adaptive PI controller scheme for dual active bridge (DAB) converter. The PI gains are allowed to vary within a predetermined range and therefore eliminate the problems faced by the conventional PI controller. The performance of the proposed controller is simulated and compared with the conventional fixed PI controller under various conditions. The experimental prototype of the DAB converter is implemented using a digital signal processor of TMS320F28335 manufactured by Texas Instrument to examine and to evaluate the performance criteria of the proposed controller. Simulation and experimental results show improvements in transient as well as steady state responses of the proposed controller over the conventional fixed PI controller.

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