Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle

This work presents a predictive control strategy for a four degrees of freedom (DOF) half-car model in the presence of active aerodynamic surfaces. The proposed control strategy consists of two parts: the feedback control deals with the tracking error while the feedforward control handles the antici...

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Main Authors: Ejaz Ahmad, Jamshed Iqbal, Muhammad Arshad Khan, Wu Liang, Iljoong Youn
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
PS
Online Access:https://www.mdpi.com/2079-9292/9/9/1463
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spelling doaj-d4fa0b08515a4c6c82cad7add4d414412020-11-25T02:51:50ZengMDPI AGElectronics2079-92922020-09-0191463146310.3390/electronics9091463Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a VehicleEjaz Ahmad0Jamshed Iqbal1Muhammad Arshad Khan2Wu Liang3Iljoong Youn4Department of Mechanical and Aerospace Engineering, Gyeongsang National University, ReCAPT, Jinju, Gyeongnam 52828, KoreaDepartment of Electrical and Electronic Engineering, University of Jeddah, Jeddah 21959, Saudi ArabiaDepartment of Mechanical and Aerospace Engineering, Gyeongsang National University, ReCAPT, Jinju, Gyeongnam 52828, KoreaState Key Laboratory of Automotive Simulation and Control, Jilin University Nanling Campus, Changchun 130022, ChinaDepartment of Mechanical and Aerospace Engineering, Gyeongsang National University, ReCAPT, Jinju, Gyeongnam 52828, KoreaThis work presents a predictive control strategy for a four degrees of freedom (DOF) half-car model in the presence of active aerodynamic surfaces. The proposed control strategy consists of two parts: the feedback control deals with the tracking error while the feedforward control handles the anticipated road disturbance and ensures the desired maneuvering. The desired roll and pitch angles are obtained by using disturbance, vehicle speed and radius of curvature. The proposed approach helps the vehicle to achieve better ride comfort by suppressing the amplitude of vibrations occurring in the vertical motion of the vehicle body, and enhances the road-holding capability by overcoming the amplitude of vibrations in tyre deflection. The control strategy also cancels out the hypothetical forces acting on the vehicle body to help the vehicle to track the desired attitude motion without compromising the ride comfort and road-holding capability. The simulations results show that the proposed control strategy successfully reduces the root mean square error (RMSE) values of sprung mass acceleration as well as tyre deflection.https://www.mdpi.com/2079-9292/9/9/1463predictive controlride comforthalf-car modeltracking controlleraerodynamicsPS
collection DOAJ
language English
format Article
sources DOAJ
author Ejaz Ahmad
Jamshed Iqbal
Muhammad Arshad Khan
Wu Liang
Iljoong Youn
spellingShingle Ejaz Ahmad
Jamshed Iqbal
Muhammad Arshad Khan
Wu Liang
Iljoong Youn
Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle
Electronics
predictive control
ride comfort
half-car model
tracking controller
aerodynamics
PS
author_facet Ejaz Ahmad
Jamshed Iqbal
Muhammad Arshad Khan
Wu Liang
Iljoong Youn
author_sort Ejaz Ahmad
title Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle
title_short Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle
title_full Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle
title_fullStr Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle
title_full_unstemmed Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle
title_sort predictive control using active aerodynamic surfaces to improve ride quality of a vehicle
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2020-09-01
description This work presents a predictive control strategy for a four degrees of freedom (DOF) half-car model in the presence of active aerodynamic surfaces. The proposed control strategy consists of two parts: the feedback control deals with the tracking error while the feedforward control handles the anticipated road disturbance and ensures the desired maneuvering. The desired roll and pitch angles are obtained by using disturbance, vehicle speed and radius of curvature. The proposed approach helps the vehicle to achieve better ride comfort by suppressing the amplitude of vibrations occurring in the vertical motion of the vehicle body, and enhances the road-holding capability by overcoming the amplitude of vibrations in tyre deflection. The control strategy also cancels out the hypothetical forces acting on the vehicle body to help the vehicle to track the desired attitude motion without compromising the ride comfort and road-holding capability. The simulations results show that the proposed control strategy successfully reduces the root mean square error (RMSE) values of sprung mass acceleration as well as tyre deflection.
topic predictive control
ride comfort
half-car model
tracking controller
aerodynamics
PS
url https://www.mdpi.com/2079-9292/9/9/1463
work_keys_str_mv AT ejazahmad predictivecontrolusingactiveaerodynamicsurfacestoimproveridequalityofavehicle
AT jamshediqbal predictivecontrolusingactiveaerodynamicsurfacestoimproveridequalityofavehicle
AT muhammadarshadkhan predictivecontrolusingactiveaerodynamicsurfacestoimproveridequalityofavehicle
AT wuliang predictivecontrolusingactiveaerodynamicsurfacestoimproveridequalityofavehicle
AT iljoongyoun predictivecontrolusingactiveaerodynamicsurfacestoimproveridequalityofavehicle
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