An Efficient IWOLRS Control Technique of Brushless DC Motor for Torque Ripple Minimization

KMUTNB: International Journal of Applied Science and Technology

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Title An Efficient IWOLRS Control Technique of Brushless DC Motor for Torque Ripple Minimization
Creator Rajesh, P.; Department of Electrical and Electronics Engineering, Anna University, Chennai,Tamilnadu, India
Shajin, Francis H.; Department of Electronics and Communication Engineering, Anna University, Chennai, Tamilnadu, India
Kodeeswara Kumaran, G.; Department of Electrical and Electronics Engineering, M. S. Ramaiah Institute of Technology, Bangalore, India
Subject IWO, LRS, PSO, BLDC, Torque ripples, Speed, Current
Description This manuscript proposes an improved DC-DC converter framework using hybrid control algorithm for minimizing brushless DC motor (BLDC) torque ripple (TR). At first, the modeling of the brushless DC motor is intended by an enhanced Cuk converter (ECC). The function and performance of the Cuk converter are updated using application of switched inductor. In this way, the control system integrates two control loops such as speed and torque control loop, which is employed for improving BLDC performance. Therefore, the Invasive Weed Optimization (IWO) and Local Random Search (LRS) are proposed to enhance control loop operations. In the IWO algorithm, the LRS approach is used as part of the dispersion process to build up the course of action to find precision. This manuscript explores the IWO-LRS algorithm for limiting BLDC motor speed and torque error. Nevertheless, the exit from the proposed approach is subject to the speed and torque controller input. The better optimal gain parameters have been worked out for the update of the controller operation through the aid of necessary goal functions. The proposed controller topology is activated in MATLAB/Simulink site and the performance is evaluated using other existing methods, like Particle Swarm Optimization (PSO), Bacterial Foraging (BF) algorithm.
Publisher Academic Enhancement Department
Date 2021-10-07
Type info:eu-repo/semantics/article

Format application/pdf
Source Applied Science and Engineering Progress; Vol 15, No 3 (Jul.–Sep. 2022): In progress; Article 5514

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