Direct Torque Controller of SRM for EV Application Based on Neural Network

Anuradha Devi Tellapati; Malligunta Kiran Kumar; Natarajan Karuppaiah; S. Ravi Teja; Kambhampati Venkata Govardhan Rao

Broadband Communications, Networks, and Systems. 14th EAI International Conference, BROADNETS 2024, Hyderabad, India, February 16–17, 2024, Proceedings, Part II

Research Article

Direct Torque Controller of SRM for EV Application Based on Neural Network

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-031-81171-5_6,
    author={Anuradha Devi Tellapati and Malligunta Kiran Kumar and Natarajan Karuppaiah and S. Ravi Teja and Kambhampati Venkata Govardhan Rao},
    title={Direct Torque Controller of SRM for EV Application Based on Neural Network},
    proceedings={Broadband Communications, Networks, and Systems. 14th EAI International Conference, BROADNETS 2024, Hyderabad, India, February 16--17, 2024, Proceedings, Part II},
    proceedings_a={BROADNETS PART 2},
    year={2025},
    month={2},
    keywords={Electric Car Direct Torque Control SRM SVPWM},
    doi={10.1007/978-3-031-81171-5_6}
}

Anuradha Devi Tellapati
Malligunta Kiran Kumar
Natarajan Karuppaiah
S. Ravi Teja
Kambhampati Venkata Govardhan Rao
Year: 2025
Direct Torque Controller of SRM for EV Application Based on Neural Network
BROADNETS PART 2
Springer
DOI: 10.1007/978-3-031-81171-5_6

Anuradha Devi Tellapati¹^,*, Malligunta Kiran Kumar², Natarajan Karuppaiah¹, S. Ravi Teja², Kambhampati Venkata Govardhan Rao³

1: Department of Electrical and Electronics Engineering, Vardhman College of Engineering, Shamshabad
2: Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram
3: Department of Electrical and Electronics Engineering, St. Martin’s Engineering College, Secunderabad

*Contact email: anuradhadevi.eee@gmail.com

Abstract

This paper presents the machine learning based control of cascaded converter fed SRM drive of electric vehicle. The electric vehicle which is driven by a 6/4 Switched Reluctance Motor (SRM) powered by four battery banks is considered in this paper. The new topology of converter is proposed to drive SRM effectively for application of electric car. The direct torque controller is implemented with the help of neural network for effective speed controller with minimum ripples in electromagnetic torque. The required pulses are generated with space vector Pulse Width Modulation (PWM) technique. The electromagnetic torque generated by SRM needs to be maintained at ripples free for smooth operation of electric car. The mathematical validation is implemented to achieve the required power rating of SRM for Toyota Car. The proposed topology of converter has a facility of using four battery banks, hence the charging time of batteries will be minimized. The direct torque controller with model reference adaptive controller is implemented for establishing sensor less operation. The proposed system is implemented in MATLAB/Simulink. The extensive results are presented which validate the proposed system for steady state and transient state requirements of the drive.

Keywords: Electric Car Direct Torque Control SRM SVPWM

Published: 2025-02-07
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-031-81171-5_6

Direct Torque Controller of SRM for EV Application Based on Neural Network

Abstract

About EAI

Community

Publish with EAI