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Adaptive Self-tuning Backstepping - Nonlinear (NLPI) Controller for the Control of Electric Vehicle with Two-Motor-Wheel Drive

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Artificial Intelligence and Renewables Towards an Energy Transition (ICAIRES 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 174))

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Abstract

In this work, we proposed a Backstepping controller adapted by a non-linear PI controller for the control of the two-wheel drive electric vehicle. This proposed combine controller has significantly improved control performance compared to conventional Backstepping. The electronic differential ensures the stability of the electric vehicle in the different speeds of the wheels, this driving process allows to orient each driving wheel on any curve separately. Modeling and simulation are performed using the Matlab/Simulink tool to study the performance of the proposed controller.

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Correspondence to Ahmed Laguidi .

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Laguidi, A., Benoudjafer, C., Boughazi, O. (2021). Adaptive Self-tuning Backstepping - Nonlinear (NLPI) Controller for the Control of Electric Vehicle with Two-Motor-Wheel Drive. In: Hatti, M. (eds) Artificial Intelligence and Renewables Towards an Energy Transition. ICAIRES 2020. Lecture Notes in Networks and Systems, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-030-63846-7_36

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