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Analysis of Brushless DC Motor Using Enhanced Fopid Controller with ALO Algorithm

K. Prathibanandhi1,*, R. Ramesh2, C. Yaashuwanth3

1 Department of Electrical and Electronics Engineering, Sri Sai Ram Engineering College, Chennai, 600045, Tamilnadu, India
2 Department of Electrical and Electronics Engineering, College of Engineering, Anna University, Chennai, 600025, Tamilnadu, India
3 Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur, 602105, Tamilnadu, India

* Corresponding Author: K. Prathibanandhi. Email: email

Intelligent Automation & Soft Computing 2022, 34(1), 543-557. https://doi.org/10.32604/iasc.2022.025860

Abstract

The delivery of combined benefits of Alternating Current (AC) motor and Direct Current (DC) Motor makes the Brushless Direct Current (BLDC) motors as a unique feature in numerous industrial applications. The possibilities of running the motor at very high speed with extensive operating life span of BLDC with miniature and its compact design make it an un-ignorable option for Electrical Engineers. With many advantages, till managing as well as controlling the speed of BLDC is complicated. This work is intended to come up with an effective control of speed of the motor through Torque Ripple Minimization Route and an Enhanced-Fractional Order Proportional Integral and Derivative Controller based Ant-Lion Optimizer (EFCA)Technique, which is evaluated as well as its strategy is executed in this paper. The critical factors like BLDC’s Back Electro Magnetic Force, Values of Current, Torque level and the operating speed of the motor are considered and evaluated closely and from that, the ripple level present in the torque is controlled as well as it is brought down to minimalistic value by using Fractional Order (FO) Proportional Integral Derivative (FOPID) controller. To control the speed of the motor, the Gain parameters and the ripple present in the torque have to be reduced, the latter is obtained using FOPID controller and the former is achieved by employing Modified – Ant Lion Optimizer (ALO). The technique presented in this paper helps for the enhancement of controlling behavior of BLDC and improves the overall performance of the motor. The dynamic part of the BLDC is analyzed using the platform of Matrix Laboratory (MATLAB) simulink and the results are tabulated. The final values are compared with the results of the existing methodologies and the comparative study has yielded that the presented technique has outperformed than that of the available methodologies. A proto type model has been designed and results are executed in real time environment to ensure the effectiveness of the presented work.

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Cite This Article

K. Prathibanandhi, R. Ramesh and C. Yaashuwanth, "Analysis of brushless dc motor using enhanced fopid controller with alo algorithm," Intelligent Automation & Soft Computing, vol. 34, no.1, pp. 543–557, 2022.



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