Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76180
Title: Adaptive tracking control for active suspension systems with non-ideal actuators
Authors: Pan, HH 
Sun, WC
Jing, XJ 
Gao, HJ
Yao, JY
Keywords: Actuator nonlinearities
Active suspension systems
Adaptive tracking control
Issue Date: 2017
Publisher: Academic Press
Source: Journal of sound and vibration, 2017, v. 399, p. 2-20 How to cite?
Journal: Journal of sound and vibration 
Abstract: As a critical component of transportation vehicles, active suspension systems are instrumental in the improvement of ride comfort and maneuverability. However, practical active suspensions commonly suffer from parameter uncertainties(e.g., the variations of payload mass and suspension component parameters), external disturbances and especially the unknown non-ideal actuators(i.e., dead-zone and hysteresis nonlinearities), which always significantly deteriorate the control performance in practice. To overcome these issues, this paper synthesizes an adaptive tracking control strategy for vehicle suspension systems to achieve suspension performance improvements. The proposed control algorithm is formulated by developing a unified framework of non-ideal actuators rather than a separate way, which is a simple yet effective approach to remove the unexpected nonlinear effects. From the perspective of practical implementation, the advantages of the presented controller for active suspensions include that the assumptions on the measurable actuator outputs, the prior knowledge of nonlinear actuator parameters and the uncertain parameters within a known compact set are not required. Furthermore, the stability of the closed-loop suspension system is theoretically guaranteed by rigorous mathematical analysis. Finally, the effectiveness of the presented adaptive control scheme is confirmed using comparative numerical simulation validations.
URI: http://hdl.handle.net/10397/76180
ISSN: 0022-460X
EISSN: 1095-8568
DOI: 10.1016/j.jsv.2017.03.011
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