Untitled Document
 
Untitled Document
> Archives > To Be Published
Recently Accepted Papers
Adaptive Sliding Mode Control with Enhanced Optimal Reaching Law for Boost Converter Based Hybrid Power Source in Electric Vehicles
Bin Wang**, Chaohui Wang˘Ó, Qiao Hu**, Guangliang Ma* and Jiahui Zhou*
Abstract This paper proposes an adaptive sliding mode control (ASMC) strategy with an enhanced optimal reaching law (EORL) for the robust current tracking control of a boost converter based hybrid power source (HPS) in electric vehicles (EVs). A conventional ASMC strategy based on state observers and hysteresis control method is used to realize current tracking control for the boost converter based HPS. Then, a novel enhanced exponential reaching law is proposed to improve the ASMC. Moreover, the enhanced exponential reaching law is optimized by a 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. 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 the robust current tracking control for the boost converter based HPS. It can guarantee the active and stable power distribution for boost converter based HPS.
Keyword Adaptive sliding mode control, Boost converter, Electric vehicle, Hybrid power source, Particle warm optimization
PDF
Untitled Document