Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping

Iftikhar Ahmad; Xiaohua Ge; Qing-Long Han

doi:10.1109/JAS.2021.1003967

Volume 8 Issue 5

May 2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(5): 971-986

I. Ahmad, X. H. Ge, and Q.-L. Han, "Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 971-986, May. 2021. doi: 10.1109/JAS.2021.1003967

Citation:

I. Ahmad, X. H. Ge, and Q.-L. Han, "Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 971-986, May. 2021. doi: 10.1109/JAS.2021.1003967

Citation:

I. Ahmad, X. H. Ge, and Q.-L. Han, "Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping," IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 971-986, May. 2021. doi: 10.1109/JAS.2021.1003967

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Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping

doi: 10.1109/JAS.2021.1003967

School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia

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Author Bio:
Iftikhar Ahmad received the B.S. degree in mechatronics engineering and the M.S. degree in mechanical engineering from University of Engineering and Technology, Peshawar, Pakistan, in 2012 and 2016, respectively. He is currently working towards the Ph.D. degree with the School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia. His research interests include networked control, event-triggered control, robotics, vehicle dynamics and automotive control

Xiaohua Ge (M’18–SM’21) received the B.Eng. degree in electronics and information engineering from Nanchang Hangkong University, Nanchang, China, in 2008, the M.Eng. degree in control theory and control engineering from Hangzhou Dianzi University, Hangzhou, China, in 2011, and the Ph.D. degree in computer engineering from Central Queensland University, Rockhampton, QLD, Australia, in 2014. From 2011 to 2013, he was a Research Assistant with the Centre for Intelligent and Networked Systems, Central Queensland University, where he was a Research Fellow in 2014. From 2015 to 2017, he was a Research Fellow with the Griffith School of Engineering, Griffith University, Gold Coast, QLD, Australia. He is currently a Senior Lecturer with the School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia. His research interests include networked, event-triggered, secure, and intelligent control and estimation, and their applications in autonomous vehicles and connected vehicles. Dr. Ge is a Highly Cited Researcher according to Clarivate Analytics. He received The 2020 Vice-Chancellor’s Research Excellence Award at Swinburne University of Technology and The 2019 IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award. He is an Associate Editor of the IEEE TRANSACTION ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, and was a Guest Editor of several Special Issues

Qing-Long Han (M’09-SM’13-F’19) received the B.Sc. degree in Mathematics from Shandong Normal University, Jinan, China, in 1983, and the M.Sc. and Ph.D. degrees in Control Engineering from East China University of Science and Technology, Shanghai, China, in 1992 and 1997, respectively. Professor Han is Pro Vice-Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology, Melbourne, Australia. He held various academic and management positions at Griffith University and Central Queensland University, Australia. His research interests include networked control systems, multiagent systems, time-delay systems, smart grids, unmanned surface vehicles, and neural networks. Professor Han is a Highly Cited Researcher according to Clarivate Analytics. He is a Fellow of The Institution of Engineers Australia. He is one of Australia’s Top 5 Lifetime Achievers (Research Superstars) in the discipline area of Engineering and Computer Science by The Australians 2020 Research Magazine. He received The 2020 IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award, The 2020 IEEE Industrial Electronics Society IEEE Transactions on Industrial Informatics Outstanding Paper Award, and The 2019 IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award. Professor Han is Co-Editor of Australian Journal of Electrical and Electronic Engineering, an Associate Editor for 12 international journals, including the IEEE TRANSACTIONS ON CYBERNETICS, the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE INDUSTRIAL ELECTRONICS MAGAZINE, the IEEE/CAA JOURNAL OF AUTOMATICA SINICA, Control Engineering Practice, and Information Sciences, and a Guest Editor for 13 Special Issues
Corresponding author: Qing-Long Han, e-mail: qhan@swin.edu.au
Received Date: 2020-12-14
Revised Date: 2021-01-19
Accepted Date: 2021-02-13

Available Online: 2021-02-27

Abstract

Abstract

This paper addresses the co-design problem of decentralized dynamic event-triggered communication and active suspension control for an in-wheel motor driven electric vehicle equipped with a dynamic damper. The main objective is to simultaneously improve the desired suspension performance caused by various road disturbances and alleviate the network resource utilization for the concerned in-vehicle networked suspension system. First, a T-S fuzzy active suspension model of an electric vehicle under dynamic damping is established. Second, a novel decentralized dynamic event-triggered communication mechanism is developed to regulate each sensor’s data transmissions such that sampled data packets on each sensor are scheduled in an independent manner. In contrast to the traditional static triggering mechanisms, a key feature of the proposed mechanism is that the threshold parameter in the event trigger is adjusted adaptively over time to reduce the network resources occupancy. Third, co-design criteria for the desired event-triggered fuzzy controller and dynamic triggering mechanisms are derived. Finally, comprehensive comparative simulation studies of a 3-degrees-of-freedom quarter suspension model are provided under both bump road disturbance and ISO-2631 classified random road disturbance to validate the effectiveness of the proposed co-design approach. It is shown that ride comfort can be greatly improved in either road disturbance case and the suspension deflection, dynamic tyre load and actuator control input are all kept below the prescribed maximum allowable limits, while simultaneously maintaining desirable communication efficiency.

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References(48)

References

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Decentralized Dynamic Event-Triggered Communication and Active Suspension Control of In-Wheel Motor Driven Electric Vehicles with Dynamic Damping

doi: 10.1109/JAS.2021.1003967

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