Abstract
This paper discus about speed control of electric-vehicle (EV) Permanent Magnet Synchronous Motor (PMSM) drive using Electronic Differential Controller (EDC) and Genetic Algorithm (GA) tuning. EV are electrically powered by rechargeable batteries there by making it eco friendly and leading to its growing interest among customers. When a vehicle is driven along a curved road, the speed of the inner wheel should be less than the outer wheel. This type of controlling is done by EDC, which supplies necessary torque for each driving wheel and allows different wheel speeds in any curve and distribute the power to the wheel motor according to the steering angle. The control structure is based on the Field oriented control (FOC) for each front wheel-motor. In this work, the propulsion system consists of two PMSM for the two front driving wheels and, GA is implemented for optimizing PI controller parameters. Simulations is carried out in MATLAB SIMULINK.
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A Appendix: Motor Parameters
A Appendix: Motor Parameters
Resistance 0.18 Ω, d−axis inductance 0.000835H, q−axis inductance 0.000835H, Permanent magnet flux 0.07145 Wb, Pole pairs 4.
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Deepthi, N.R., Febin Daya, J.L. (2016). Genetic Algorithm Based Speed Control of Electric Vehicle with Electronic Differential. In: Panigrahi, B., Suganthan, P., Das, S., Satapathy, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2015. Lecture Notes in Computer Science(), vol 9873. Springer, Cham. https://doi.org/10.1007/978-3-319-48959-9_12
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DOI: https://doi.org/10.1007/978-3-319-48959-9_12
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