Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties
This paper addresses the problem of ride height tracking for an electronically-controlled active air suspension (AAS) system in the presence of parametric uncertainties and unmodeled dynamics. A mathematical model of a quarter vehicle with AAS system is first built on the basis of thermodynamics to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8704183/ |
| _version_ | 1818910129221795840 |
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| author | Rongchen Zhao Wei Xie Pak Kin Wong David Cabecinhas Carlos Silvestre |
| author_facet | Rongchen Zhao Wei Xie Pak Kin Wong David Cabecinhas Carlos Silvestre |
| author_sort | Rongchen Zhao |
| collection | DOAJ |
| description | This paper addresses the problem of ride height tracking for an electronically-controlled active air suspension (AAS) system in the presence of parametric uncertainties and unmodeled dynamics. A mathematical model of a quarter vehicle with AAS system is first built on the basis of thermodynamics to describe the dynamic characteristics. Then, by employing the backstepping technique, a novel height tracking controller is proposed in order to guarantee that (1) the ride height of a vehicle can converge on a neighborhood of the desired height, achieving global uniform ultimate boundedness (GUUB); (2) the controller is robust to the parametric uncertainties by designing parameter estimators and introducing some conservativeness in the control law to dominate the unmodeled dynamics. Moreover, a group of smooth projectors is used to ensure all estimates remain within predefined corresponding bounds. To validate the efficiency and performance of the proposed strategy, the simulation and experimental results are presented and analyzed, showing that the proposed control strategy is superior to the PID controller and the recently proposed hybrid model predictive controller. |
| first_indexed | 2024-12-19T22:37:54Z |
| format | Article |
| id | doaj.art-a4697f00e3014c12984051aa595501fb |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T22:37:54Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a4697f00e3014c12984051aa595501fb2022-12-21T20:03:08ZengIEEEIEEE Access2169-35362019-01-017591855919910.1109/ACCESS.2019.29134518704183Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric UncertaintiesRongchen Zhao0https://orcid.org/0000-0001-5912-5383Wei Xie1https://orcid.org/0000-0003-4984-6659Pak Kin Wong2David Cabecinhas3Carlos Silvestre4Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, ChinaDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, ChinaDepartment of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, ChinaDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, ChinaDepartment of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, ChinaThis paper addresses the problem of ride height tracking for an electronically-controlled active air suspension (AAS) system in the presence of parametric uncertainties and unmodeled dynamics. A mathematical model of a quarter vehicle with AAS system is first built on the basis of thermodynamics to describe the dynamic characteristics. Then, by employing the backstepping technique, a novel height tracking controller is proposed in order to guarantee that (1) the ride height of a vehicle can converge on a neighborhood of the desired height, achieving global uniform ultimate boundedness (GUUB); (2) the controller is robust to the parametric uncertainties by designing parameter estimators and introducing some conservativeness in the control law to dominate the unmodeled dynamics. Moreover, a group of smooth projectors is used to ensure all estimates remain within predefined corresponding bounds. To validate the efficiency and performance of the proposed strategy, the simulation and experimental results are presented and analyzed, showing that the proposed control strategy is superior to the PID controller and the recently proposed hybrid model predictive controller.https://ieeexplore.ieee.org/document/8704183/Active air suspensionpneumatic systemauto-mobile height controlrobust controlparameter estimation |
| spellingShingle | Rongchen Zhao Wei Xie Pak Kin Wong David Cabecinhas Carlos Silvestre Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties IEEE Access Active air suspension pneumatic system auto-mobile height control robust control parameter estimation |
| title | Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties |
| title_full | Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties |
| title_fullStr | Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties |
| title_full_unstemmed | Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties |
| title_short | Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties |
| title_sort | robust ride height control for active air suspension systems with multiple unmodeled dynamics and parametric uncertainties |
| topic | Active air suspension pneumatic system auto-mobile height control robust control parameter estimation |
| url | https://ieeexplore.ieee.org/document/8704183/ |
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