Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments

Daya, Febin J.L. and Sanjeevikumar, Padmanaban and Blaabjerg, Frede and Wheeler, Patrick W. and Olorunfemi Ojo, Joseph and Ertas, Ahmet H. (2016) Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments. Electric Power Components and Systems, 44 (7). pp. 763-773. ISSN 1532-5008

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In road transportation systems, differential plays an important role in preventing the vehicle from slipping on curved tracks. In practice, mechanical differentials are used, but they are bulky because of their increased weight. Moreover, they are not suitable for electric vehicles, especially those employing separate drives for both rear wheels. The electronic differential constitutes recent technological advances in electric vehicle design, enabling better stability and control of a vehicle on curved roads. This article articulates the modeling and simulation of an electronic differential employing a novel wavelet transform controller for two brushless DC motors ensuring drive in two right and left back driving wheels. Further, the proposed work uses a discrete wavelet transform controller to decompose the error between actual and command speed provided by the electronic differential based on throttle and steering angle as the input into frequency components. By scaling these frequency components by their respective gains, the obtained control signal is actually given as input to the motor. To verify the proposal, a set of designed strategies were carried out: a vehicle on a straight road, turning right and turning left. Numerical simulation test results of the controllers are presented and compared for robust performance and stability.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Electric Power Components and Systems on 04/04/2016, available online:
Keywords: Electronic differential; electric vehicle; wavelet controller; traction control; brushless DC motor; mechanical differential; electronic differential; proportional integral differential controller; fuzzy logic; neural wavelet system
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering > Department of Electrical and Electronic Engineering
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Depositing User: Eprints, Support
Date Deposited: 18 May 2016 16:00
Last Modified: 17 Sep 2016 00:47

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