BLDC Motor Control For EVs Using Cuckoo Search Algorithm In PI Controller Tunning

Arul P, Anand M H, Dhamodharan Selvaraj, Dhanalakshmi R

2023

Abstract

electric vehicles (EV) are the present and future technology to overcome the environment problems created by the traditional fossil fuel-based engines. Compact, high torque machines are needed for changing the future of vehicles. The Brushless DC Motors (BLDC) are ones which satisfies the requirement. The BLDC motor speed control is creating more importance in EV industry as it is used in many applications now-a-days. Optimal control of BLDC motor is much need to make the EV more efficient and less consuming ones. DTC control has a PI controller to produce proportional torque reference. If the PI controller parameters like KP and Ki values are changed arbitrarily the torque ripple and settling time of speed are changing. So, there is numerous combinations of Kp and Ki parameters are available. In this paper the problem is defined with multi-objective. Identification of Kp and Ki parameters is done by minimizing toque ripple and settling time. The objective function is solved by cuckoo search algorithm and results are discussed and compared with manual tuning of PI controller, PSO based PI tuning and CSA based tuning.

Paper Citation

in Harvard Style

P A., M H A., Selvaraj D. and R D. (2023). BLDC Motor Control For EVs Using Cuckoo Search Algorithm In PI Controller Tunning. In Proceedings of the 1st International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-689-7, SciTePress, pages 80-83. DOI: 10.5220/0012508600003808

in Bibtex Style

@conference{ispes23,
author={Arul P and Anand M H and Dhamodharan Selvaraj and Dhanalakshmi R},
title={BLDC Motor Control For EVs Using Cuckoo Search Algorithm In PI Controller Tunning},
booktitle={Proceedings of the 1st International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2023},
pages={80-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012508600003808},
isbn={978-989-758-689-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - BLDC Motor Control For EVs Using Cuckoo Search Algorithm In PI Controller Tunning
SN - 978-989-758-689-7
AU - P A.
AU - M H A.
AU - Selvaraj D.
AU - R D.
PY - 2023
SP - 80
EP - 83
DO - 10.5220/0012508600003808
PB - SciTePress