A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle

A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle

Vehicle active safety control is attracting ever increasing attention in the attempt to improve the stability and the maneuverability of electric vehicles. In this paper, a neural network combined inverse (NNCI) controller is proposed, incorporating the merits of left-inversion and right-inversion....

Full description

Bibliographic Details
Main Authors: Duo Zhang, Guohai Liu, Wenxiang Zhao, Penghu Miao, Yan Jiang, Huawei Zhou
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Energies
Subjects:
neural network combined inverse
soft-sensor
decoupling control
electric vehicles
two-rear-wheel independently driven
Online Access:http://www.mdpi.com/1996-1073/7/7/4614
id doaj-3173615a13f74d7b8c37da78530c2d59
record_format Article
spelling doaj-3173615a13f74d7b8c37da78530c2d592020-11-24T21:03:04ZengMDPI AGEnergies1996-10732014-07-01774614462810.3390/en7074614en7074614A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric VehicleDuo Zhang0Guohai Liu1Wenxiang Zhao2Penghu Miao3Yan Jiang4Huawei Zhou5School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, ChinaVehicle active safety control is attracting ever increasing attention in the attempt to improve the stability and the maneuverability of electric vehicles. In this paper, a neural network combined inverse (NNCI) controller is proposed, incorporating the merits of left-inversion and right-inversion. As the left-inversion soft-sensor can estimate the sideslip angle, while the right-inversion is utilized to decouple control. Then, the proposed NNCI controller not only linearizes and decouples the original nonlinear system, but also directly obtains immeasurable state feedback in constructing the right-inversion. Hence, the proposed controller is very practical in engineering applications. The proposed system is co-simulated based on the vehicle simulation package CarSim in connection with Matlab/Simulink. The results verify the effectiveness of the proposed control strategy.http://www.mdpi.com/1996-1073/7/7/4614neural network combined inversesoft-sensordecoupling controlelectric vehiclestwo-rear-wheel independently driven
collection DOAJ
language English
format Article
sources DOAJ
author Duo Zhang
Guohai Liu
Wenxiang Zhao
Penghu Miao
Yan Jiang
Huawei Zhou
spellingShingle Duo Zhang
Guohai Liu
Wenxiang Zhao
Penghu Miao
Yan Jiang
Huawei Zhou
A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle
Energies
neural network combined inverse
soft-sensor
decoupling control
electric vehicles
two-rear-wheel independently driven
author_facet Duo Zhang
Guohai Liu
Wenxiang Zhao
Penghu Miao
Yan Jiang
Huawei Zhou
author_sort Duo Zhang
title A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle
title_short A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle
title_full A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle
title_fullStr A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle
title_full_unstemmed A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle
title_sort neural network combined inverse controller for a two-rear-wheel independently driven electric vehicle
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2014-07-01
description Vehicle active safety control is attracting ever increasing attention in the attempt to improve the stability and the maneuverability of electric vehicles. In this paper, a neural network combined inverse (NNCI) controller is proposed, incorporating the merits of left-inversion and right-inversion. As the left-inversion soft-sensor can estimate the sideslip angle, while the right-inversion is utilized to decouple control. Then, the proposed NNCI controller not only linearizes and decouples the original nonlinear system, but also directly obtains immeasurable state feedback in constructing the right-inversion. Hence, the proposed controller is very practical in engineering applications. The proposed system is co-simulated based on the vehicle simulation package CarSim in connection with Matlab/Simulink. The results verify the effectiveness of the proposed control strategy.
topic neural network combined inverse
soft-sensor
decoupling control
electric vehicles
two-rear-wheel independently driven
url http://www.mdpi.com/1996-1073/7/7/4614
work_keys_str_mv AT duozhang aneuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT guohailiu aneuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT wenxiangzhao aneuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT penghumiao aneuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT yanjiang aneuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT huaweizhou aneuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT duozhang neuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT guohailiu neuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT wenxiangzhao neuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT penghumiao neuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT yanjiang neuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
AT huaweizhou neuralnetworkcombinedinversecontrollerforatworearwheelindependentlydrivenelectricvehicle
_version_ 1716774320459481088

Similar Items