Speed Sensorless based Sliding Mode Control of BLDC Motor Drivefor Electric Vehicle

Haripriya, Assistant Professor, Department of Computer Science and Information Technology, Jain (Deemed to be University), Email Idv. haripriya@jainuniversity.ac.in, Bangalore, India
Sushil Tripathi, Assistant Professor, Department of Mechanical Engineering, Sanskriti University, Email Id- sushil.me@sanskriti.edu.in, Mathura, Uttar Pradesh, India
Chetan Chaudhary, Assistant Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Email Idccnitj@gmail.com, Uttar Pradesh, India
Amandeep Gill, Dean R&D, R&D Cell, Vivekananda Global University, Email Id-amandeep.gill@vgu.ac.in, Jaipur, India

^* Corresponding Author: v.haripriya@jainuniversity.ac.in

Abstract

Electric vehicles are having significant priority in transportation including goods, public transport etc. among many technologies in electric vehicle, brushless DC (BLDC) motors operated eclectic drives are mostly used. Speed sensorless control is required to implement for obtaining a best performance. At the same time, a sliding mode controller (SMC) can be able to produce the ultimate response under various conditions. Hence sensorless speed control with SMC of BLDC motor is implemented in this paper to drive the electric vehicle. In order to develop speed sensorless of motor, a model reference adaptive control (MRAC) system is developed. However, obtaining a fastest response is very important in electric vehicle speed control. Hence a TS-Fuzzy model is developed to use in the place of conventional PI controllers. Extensive results are collected for presentation by establishing Hardware – in the – Loop (HIL) with the help of two OPAL-RT devices.