Observer-based hybrid control algorithm for semi-active suspension systems
Observer-based hybrid control algorithm for semi-active suspension systems作者机构：School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China College of Mechanical ＆ Electrical Engineering Shenyang Aerospace University Shenyang 110136 China
出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)
年 卷 期：2016年第23卷第9期
页 面：2268-2275页
核心收录：
学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 0823[工学-交通运输工程]
基 金：Projects(51375046 51205021)supported by the National Natural Science Foundation of China
主 题：semi-active suspension hybrid control unscented Kalman filter (UKF)
摘 要：In order to improve ride comfort and handling performance of the vehicle, an adaptive hybrid control algorithm is proposed for semi-active suspension systems. The virtues of sky-hook is combined with ground-hook control strategies and a more suitable compromise for the suspension systems is chosen. The hybrid coefficient is tuned according to the longitudinal and lateral acceleration so as to improve the vehicle stability especially in high speed conditions. Damping continuous adjustable absorber is used to continuously control the damping force so as to eliminate the damping force jerk instead of traditional on-off control policy. Based on suspension stroke measured by sensors, unscented Kalman filter is designed to estimate the suspension states in real-time for the realization of hybrid control, which improves the robustness of the control strategy and is adaptive to different types of road profiles. Finally, the proposed control algorithm is validated under the following two typical road profiles: half-sine speed bump road and the random road. The simulation results indicate that the hybrid control algorithm could offer a good coordination between ride comfort and handling of the vehicle.
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