具有状态约束的主动悬架系统的自适应控制
Adaptive Control for Active Suspension Systems with State Constraints
DOI: 10.12677/DSC.2018.74034, PDF,  被引量    国家自然科学基金支持
作者: 刘 磊, 袁凤仪：辽宁工业大学，理学院，辽宁 锦州
关键词: 主动悬架系统；神经网络；自适应控制；执行器饱和；约束控制；Active Suspension Systems； Neural Networks； Adaptive Control； Actuator Saturation； Constraint Control
摘要: 本文针对主动悬架系统，研究了其基于神经网络的自适应控制问题，其中，神经网络用来逼近系统中的不确定项。考虑到行驶过程中，乘客的舒适性以及车辆的安全性，要求系统状态满足一定的约束条件，基于backstepping技术和障碍李雅普诺夫函数方法，解决了此约束问题。同时，考虑到执行器饱和的问题，本文的执行器要求在一定约束范围内，通过引入辅助系统，抵消了饱和带来的影响。最后，仿真结果说明了本文所提方法的有效性。
Abstract: This paper studies the neural-network-based adaptive control problem for the active suspension systems, in which the neural networks are employed to approximate the system unknown terms. Considering the comfort of the passengers and the safety of the vehicle, the system states are re-quired to satisfy some certain constraint conditions. In order to solve this problem, the backstep-ping technique and the Barrier Lyapunov function method are used. Meanwhile, considering the actuator saturation problem, the actuator in this paper needs to satisfy some constraints, and the effectiveness caused by actuator saturation is counteracted by introducing an auxiliary system. Finally, the simulation results explain the effectiveness of the proposed method.
文章引用：刘磊, 袁凤仪. 具有状态约束的主动悬架系统的自适应控制[J]. 动力系统与控制, 2018, 7(4): 298-309. https://doi.org/10.12677/DSC.2018.74034

参考文献

[1] Gao, H., Lam, J. and Wang, C. (2006) Multi-Objective Control of Vehicle Active Suspension Systems via Load-Dependent Controllers. Journal of Sound & Vibration, 290, 654-675.
[Google Scholar] [CrossRef] 
[2] Sun, W., Gao, H. and Kaynak, O. (2011) Finite Frequency, Control for Vehicle Active Suspension Systems. IEEE Transactions on Control Systems Technology, 19, 416-422.
[Google Scholar] [CrossRef] 
[3] Deshpande, V.S., Mohan, B., Shendge, P.D., et al. (2014) Disturb-ance Observer Based Sliding Mode Control of Active Suspension Systems. Journal of Sound and Vibration, 333, 2281-2296.
[Google Scholar] [CrossRef] 
[4] Du, H., Lam, J. and Sze, K.Y. (2003) Non-Fragile Output Feedback Vehicle Suspension Control Using Genetic Algorithm. Engineering Applications of Artificial Intelligence, 16, 667-680.
[Google Scholar] [CrossRef] 
[5] Lian, R.J. (2013) Enhanced Adaptive Self-Organizing Fuzzy Sliding-Mode Controller for Active Suspension Systems. IEEE Transactions on Industrial Electronics, 60, 958-968.
[Google Scholar] [CrossRef] 
[6] Wen, S., Chen, M.Z.Q., Zeng, Z., et al. (2017) Fuzzy Control for Uncertain Vehicle Active Suspension Systems via Dynamic Sliding-Mode Approach. IEEE Transactions on Systems Man and Cybernetics Systems, 47, 24-32.
[Google Scholar] [CrossRef] 
[7] Lin, J. and Lian, R.J. (2011) Hybrid Self-Organizing Fuzzy and Radial Ba-sis-Function Neural-Network Controller for Active Suspension Systems. International Journal of Innovative Computing Information and Control (IJICIC), 7, 3359-3378.
[8] Zhao, F., Dong, M., Qin, Y., et al. (2015) Adaptive Neural-Sliding Mode Control of Active Suspension System for Camera Stabilization. Shock and Vibration, 2015, 1-8.
[Google Scholar] [CrossRef] 
[9] Sun, L., Huo, W. and Jiao, Z. (2016) Adaptive Backstepping Control of Spacecraft Rendezvous and Proximity Operations with Input Saturation and Full-State Constraint. IEEE Transactions on Industrial Electronics, 64, 480-492.
[Google Scholar] [CrossRef] 
[10] Liu, L. and Yang, X. (2017) Robust Adaptive State Constraint Control for Uncertain Switched High-Order Nonlinear Systems. IEEE Transactions on Industrial Electronics, 64, 8108-8117.
[Google Scholar] [CrossRef] 
[11] Jiang, B., Hu, Q. and Friswell, M.I. (2016) Fixed-Time Attitude Control for Rigid Spacecraft with Actuator Saturation and Faults. IEEE Transactions on Control Systems Technology, 24, 1892-1898.
[Google Scholar] [CrossRef] 
[12] Li, H., Wang, J. and Shi, P. (2016) Output-Feedback Based Sliding Mode Control for Fuzzy Systems with Actuator Saturation. IEEE Transactions on Fuzzy Systems, 24, 1282-1293.
[Google Scholar] [CrossRef] 
[13] Pan, H., Sun, W., Gao, H., et al. (2016) Disturbance Observer-Based Adaptive Tracking Control with Actuator Saturation and Its Application. IEEE Transactions on Automation Science and Engineering, 13, 868-875.
[Google Scholar] [CrossRef] 
[14] Ran, M., Wang, Q. and Dong, C. (2016) Stabilization of a Class of Nonlinear Systems with Actuator Saturation via Active Disturbance Rejection Control. Automatica, 63, 302-310.
[Google Scholar] [CrossRef] 
[15] Zhao, F., Ge, S.S., Tu, F., et al. (2016) Adaptive Neural Network Control for Active Suspension System with Actuator Saturation. IET Control Theory and Applications, 10, 1696-1705.
[Google Scholar] [CrossRef] 

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