Abstract
The electric scooter driven by permanent magnet synchronous motor (PMSM) has nonlinear and time-varying characteristic. An accurate dynamic model is not easy to establish for electric scooter in the linear controller design. In order to conquer the above problem, a novel hybrid modified Elman neural network (NN) control scheme is proposed to control for electric scooter driven by PMSM. The proposed control system consists of a supervisor control, a modified Elman NN and a compensated control with adaptive law. Finally, the effectiveness of the proposed novel hybrid modified Elman NN control system is demonstrated in comparison with the PI controller from some experimental results.
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More From: Transactions of the Canadian Society for Mechanical Engineering
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