Adaptive Sliding Mode Control with Enhanced Optimal Reaching Law for Boost Converter Based Hybrid Power Sources in Electric Vehicles

Bin Wang; Chaohui Wang; Qiao Hu; Guangliang Ma; Jiahui Zhou

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자료유형: 학술저널

저자정보: Bin Wang (Xi"an Jiaotong University) Chaohui Wang (Xi"an Jiaotong University) Qiao Hu (Xi"an Jiaotong University) Guangliang Ma (Xi"an Jiaotong University) Jiahui Zhou (Xi"an Jiaotong University)

저널정보: 전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.19 No.2

발행연도: 2019.3

수록면: 549 - 559 (11page)

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This paper proposes an adaptive sliding mode control (ASMC) strategy with an enhanced optimal reaching law (EORL) for the robust current tracking control of the boost converter based hybrid power source (HPS) in an electric vehicle (EV). A conventional ASMC strategy based on state observers and the hysteresis control method is used to realize the current tracking control for the boost converter based HPS. Then a novel enhanced exponential reaching law is proposed to improve the ASMC. Moreover, an enhanced exponential reaching law is optimized by particle swarm optimization. Finally, the adaptive control factor is redesigned based on the EORL. Simulations and experiments are established to validate the ASMC strategy with the EORL. Results show that the ASMC strategy with the EORL has an excellent current tracking control effect for the boost converter based HPS. When compared with the conventional ASMC strategy, the convergence time of the ASMC strategy with the EORL can be effectively improved. In EV applications, the ASMC strategy with the EORL can achieve robust current tracking control of the boost converter based HPS. It can guarantee the active and stable power distribution for boost converter based HPS.

#Adaptive sliding mode control #Boost converter #Electric vehicle #Hybrid power source #Particle warm optimization

참고문헌 (36)

참고문헌 신청

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