Nonlinear Predictive Sliding Mode Control for Active Suspension System
An active suspension system is important in meeting the requirements of the ride comfort and handling stability for vehicles. In this work, a nonlinear model of active suspension system and a corresponding nonlinear robust predictive sliding mode control are established for the control problem of ac...
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Published in | Shock and vibration Vol. 2018; no. 2018; pp. 1 - 10 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2018
Hindawi John Wiley & Sons, Inc Wiley |
Subjects | |
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Abstract | An active suspension system is important in meeting the requirements of the ride comfort and handling stability for vehicles. In this work, a nonlinear model of active suspension system and a corresponding nonlinear robust predictive sliding mode control are established for the control problem of active suspension. Firstly, a seven-degree-of-freedom active suspension model is established considering the nonlinear effects of springs and dampers; and secondly, the dynamic model is expanded in the time domain, and the corresponding predictive sliding mode control is established. The uncertainties in the controller are approximated by the fuzzy logic system, and the adaptive controller reduces the approximation error to increase the robustness of the control system. Finally, the simulation results show that the ride comfort and handling stability performance of the active suspension system is better than that of the passive suspension system and the Skyhook active suspension. Thus, the system can obviously improve the shock absorption performance of vehicles. |
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AbstractList | An active suspension system is important in meeting the requirements of the ride comfort and handling stability for vehicles. In this work, a nonlinear model of active suspension system and a corresponding nonlinear robust predictive sliding mode control are established for the control problem of active suspension. Firstly, a seven-degree-of-freedom active suspension model is established considering the nonlinear effects of springs and dampers; and secondly, the dynamic model is expanded in the time domain, and the corresponding predictive sliding mode control is established. The uncertainties in the controller are approximated by the fuzzy logic system, and the adaptive controller reduces the approximation error to increase the robustness of the control system. Finally, the simulation results show that the ride comfort and handling stability performance of the active suspension system is better than that of the passive suspension system and the Skyhook active suspension. Thus, the system can obviously improve the shock absorption performance of vehicles. |
Audience | Academic |
Author | Wang, Dazhuang Zhao, Dingxuan Yang, Bin Gong, Mingde |
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ContentType | Journal Article |
Copyright | Copyright © 2018 Dazhuang Wang et al. COPYRIGHT 2018 John Wiley & Sons, Inc. Copyright © 2018 Dazhuang Wang et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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SubjectTerms | Active control Adaptive systems Automobile industry Automotive parts Computer simulation Control systems Control theory Dampers Dynamic models Fuzzy logic Fuzzy systems Insurance claims Nonlinear control Nonlinear systems Passenger comfort Predictive control Robust control Sliding mode control Stability |
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Title | Nonlinear Predictive Sliding Mode Control for Active Suspension System |
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