In this paper, a novel control technique on basis of adaptive immersion and invariance (I&I) theorem and fuzzy systems is proposed to control the brushless direct current motors (BLDCMs) for electric vehicles. The chaotic behaviour of the BDCMs is synchronized with the desired chaotic system. The parameters of the chaotic model are considered to be unknown and are online estimated with tuning rules that are derived through the I&I stability theorem. The effects of the adaptation errors are compensated by the adaptive fuzzy systems. The fuzzy systems are online learned to insure the robustness and stability. The effectiveness and desirable performance of the suggested methodology is verified with both normal simulations and real-time examination. The simulation outcomes of the presented methodology are compared with the some other adaptive methods and it is shown that the presented methodology is more effective.
