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

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...

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Main Authors: Daya, Febin J.L., Sanjeevikumar, Padmanaban, Blaabjerg, Frede, Wheeler, Patrick, Olorunfemi Ojo, Joseph, Ertas, Ahmet H.
Format: Article
Published: Taylor & Francis 2016
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Online Access:https://eprints.nottingham.ac.uk/33377/
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author Daya, Febin J.L.
Sanjeevikumar, Padmanaban
Blaabjerg, Frede
Wheeler, Patrick
Olorunfemi Ojo, Joseph
Ertas, Ahmet H.
author_facet Daya, Febin J.L.
Sanjeevikumar, Padmanaban
Blaabjerg, Frede
Wheeler, Patrick
Olorunfemi Ojo, Joseph
Ertas, Ahmet H.
author_sort Daya, Febin J.L.
building Nottingham Research Data Repository
collection Online Access
description 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.
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publishDate 2016
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spelling nottingham-333772020-05-04T17:47:52Z https://eprints.nottingham.ac.uk/33377/ Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments Daya, Febin J.L. Sanjeevikumar, Padmanaban Blaabjerg, Frede Wheeler, Patrick Olorunfemi Ojo, Joseph Ertas, Ahmet H. 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. Taylor & Francis 2016-04-04 Article PeerReviewed Daya, Febin J.L., Sanjeevikumar, Padmanaban, Blaabjerg, Frede, Wheeler, Patrick, 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 Electronic differential; electric vehicle; wavelet controller; traction control; brushless DC motor; mechanical differential; electronic differential; proportional integral differential controller; fuzzy logic; neural wavelet system http://dx.doi.org/10.1080/15325008.2015.1131771 doi:10.1080/15325008.2015.1131771 doi:10.1080/15325008.2015.1131771
spellingShingle Electronic differential; electric vehicle; wavelet controller; traction control; brushless DC motor; mechanical differential; electronic differential; proportional integral differential controller; fuzzy logic; neural wavelet system
Daya, Febin J.L.
Sanjeevikumar, Padmanaban
Blaabjerg, Frede
Wheeler, Patrick
Olorunfemi Ojo, Joseph
Ertas, Ahmet H.
Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
title Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
title_full Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
title_fullStr Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
title_full_unstemmed Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
title_short Analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
title_sort analysis of wavelet controller for robustness in electronic differential of electric vehicles: an investigation and numerical developments
topic Electronic differential; electric vehicle; wavelet controller; traction control; brushless DC motor; mechanical differential; electronic differential; proportional integral differential controller; fuzzy logic; neural wavelet system
url https://eprints.nottingham.ac.uk/33377/
https://eprints.nottingham.ac.uk/33377/
https://eprints.nottingham.ac.uk/33377/