Abstract
This article deals with single-stage indirect vector control of induction motor for PV-fed EV transportation system using brain emotional learning-based intelligent control (BELBIC). A solar photovoltaic (PV) array, a three-phase voltage source inverter, and a motor with EV chassis system are all part of the proposed system. The BELBIC operates effectively for motor drive systems with changes in various operating conditions. The use of a power feed forward term improves the system’s dynamic response. This accomplishes the goal of effective and efficient EV transportation system. The system is simulated in the MATLAB/Simulink platform and is validated on a real time using OPAL-RT.
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Appendix
Appendix
I. Induction Motor Parameter
P = 2.2 kW, V = 230 V, I = 8.2 A.
N = 1430 rpm, P = 4.
II. Solar PV Array Parameter
Vmp = 315 V, Imp = 7.61 A.
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Kar, B.N., Samuel, P., Reddy, B.M. (2022). Photovoltaic Array Fed Indirect Vector-Controlled Induction Motor Drive for EV Transportation System Using Brain Emotional Learning-Based Intelligent Controller. In: Marati, N., Bhoi, A.K., De Albuquerque, V.H.C., Kalam, A. (eds) AI Enabled IoT for Electrification and Connected Transportation. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-19-2184-1_7
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