Intelligent Speed Regulation of BLDC Motors in Electric Vehicles

Author(s)	Mr. Mohammed Salik S B, Mr. Dhakshinamoorthy S, Mr. Jegan D, Mr. Harigaran P, Ms. Mahalakshmi G
Country	India
Abstract	Static motor drives have gained reputation in homes and groups recently due to the fact they assist lessen power use. Consequently, PMBLDC, or BLDC vehicles, have caught lots attention. This study examines controlling BLDC motor motion the use of three techniques: PID (Proportional-Integral-Derivative), Fuzzy Logic Controller (FLC), and Adaptive Neuro-Fuzzy Inference System (ANFIS). Also, all three methods are useful for controlling pace and torque. Brushless DC (BLDC) motors are noted for his or her effectiveness and sturdiness, requiring a proper manage gadget for proper pace manipulation. Response to Time, Positioning, & Non Linear tasks simulations show that ANFIS performs better than PID & FLC and therefore is a good quality to use for BLDC motor motion regulation. This analysis uses five forces method to help expect developments in electric vehicle era and commercial device.
Keywords	BLDC Motor, ANFIS, FLC, Speed control, Torque control
Field	Engineering
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-09-29

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology