电动汽车
控制理论(社会学)
汽车工程
模式(计算机接口)
滑模控制
控制(管理)
计算机科学
控制工程
工程类
物理
人工智能
非线性系统
功率(物理)
量子力学
操作系统
作者
V. Haripriya,Sushil Tripathi,Chetan Chaudhary,Amandeep Gill
标识
DOI:10.1051/e3sconf/202454002004
摘要
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.
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