北京交通大学轨道交通控制与安全国家重点实验室,北京,100044
网络首发:2014-09-10,
纸质出版:2014
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张梦楠, 徐洪泽. 城轨列车反推自动停车控制算法[J]. 西安交通大学学报, 2014,48(9):136-142.
Backstepping Automatic Stop Control of Urban Rail Vehicles[J]. 2014, 48(9): 136-142.
张梦楠, 徐洪泽. 城轨列车反推自动停车控制算法[J]. 西安交通大学学报, 2014,48(9):136-142. DOI: 10.7652/xjtuxb201409023.
Backstepping Automatic Stop Control of Urban Rail Vehicles[J]. 2014, 48(9): 136-142. DOI: 10.7652/xjtuxb201409023.
为了实现城轨列车自动停车功能
根据电空制动系统的工作原理及其动态特性
建立了具有输入时滞的非线性城轨列车制动模型
克服了传统模型中制动减速度难以测量的缺点。针对模型中的输入时滞以及非线性特性
设计了一种基于Krasovskii泛函算子的反推自动停车控制器
以消除制动过程中闸瓦摩擦系数和制动系统时滞造成的影响。算法的主要改进在于:基于预测的思想以及反推技术
将误差信号表示为2个与延时相关的Krasovskii泛函算子
并且其中一个泛函算子为指数收敛的。基于Lyapunov-Krasovskii稳定性定理
证明了闭环列控系统的稳定性和收敛性。为验证自动停车控制器的正确性
利用Matlab仿真软件对城轨列车制动系统进行了数值仿真
结果表明
所提算法不仅可以获得较高的停车精度
并且保证了城轨列车运行的平稳性。
To realize the function of automatic stop control of the urban rail vehicle
a nonlinear brake model with input delay is built based on the operational principle and dynamics of the electro-pneumatic brake system. This model overcomes the shortcoming that actual brake deceleration is almost unmeasurable in conventional model. To deal with the nonlinearity and input delay in the model
a new backstepping stop controller based on Krasovskii functional operators is proposed. During the brake process
the presented controller can eliminate the effects due to brake shoe friction coefficient and brake system delay. With the prediction scheme and backstepping technique
the main improvement of this algorithm is that the error signal is expressed by two Krasovskii functional operators
one of which is exponentially stable. Based on Lyapunov-Krasovskii theorem
the stability and convergent behavior of the closed-loop train control system are proved. To confirm the correctness of the proposed automatic stop controller
the brake system is simulated by Matlab tools. Simulation results illustrate that this method can obtain high stop accuracy
and guarantee the operational stability of the urban rail vehicle.
王月明. 动车组制动技术[M]. 北京: 中国铁道出版社, 2004: 43-64.
唐涛, 黄良骥. 列车自动驾驶系统控制算法综述[J]. 铁道学报, 2003, 25(2): 98-102.
TANG Tao, HUANG Liangji. A survey of control algorithm for automatic train operation[J]. Journal of China Railway Society, 2003, 25(2): 98-102.
YASUNOBU S, MIYAMOTO S, IHARA H. A fuzzy control for train automatic stop control[J]. Transactions of the Society of Instrument and Control Engineers, 2002, E-2(1): 1-9.
余进, 钱清泉, 何正友. 两级模糊神经网络在高速列车ATO系统中的应用研究[J]. 铁道学报, 2008, 30(5): 52-56.
YU Jin, QIAN Qingquan, HE Zhengyou. Research on application of two-degree fuzzy neural network in ATO of high speed train[J]. Journal of China Railway Society, 2008, 30(5): 52-56.
CHANG C S, SIM S S. Optimising train movements through coast control using genetic algorithms[J]. IEE Proceedings on Electric Power Applications, 1997, 144(1): 65-73.
SONG Qi, SONG Yongduan, TANG Tao, et al. Computationally inexpensive tracking control of high-speed trains with traction/brake saturation[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(4): 1116-1125.
罗仁士, 王义惠, 于振宇, 等. 城轨列车自适应精确停车控制算法研究[J]. 铁道学报, 2012, 34(4): 64-68.
LUO Renshi, WANG Yihui, YU Zhenyu, et al. Adaptive stopping control of urban rail vehicle[J]. Journal of China Railway Society, 2012, 34(4): 64-68.
HUA Changchun, GUAN Xinping, SHI Peng. Robust backstepping control for a class of time delayed systems[J]. IEEE Transactions on Automatic Control, 2005, 50(6): 894-899.
RICHARD J P. Time-delay systems: an overview of some recent advances and open problems[J]. Automatica, 2003, 39(10): 1667-1694.
BEKIARIS N, KRSTIC M. Stabilization of linear strict-feedback systems with delayed integrators[C]∥Proceedings of American Control Conference. Piscataway, NJ, USA: IEEE, 2010: 6579-6584.
MAZENC F, BLIMAN P. Backstepping design for time-delay nonlinear systems[J]. IEEE Transactions on Automatic Control, 2006, 51(1): 149-154.
MAZENC F, NICULESCU S I, BEKAIK M. Stabilization of nonlinear systems with delay in the input through backstepping[C]∥Proceedings of the 50th IEEE Conference on Decision and Control. Piscataway, NJ, USA: IEEE, 2011: 7605-7610.
YAMAZAKI H, MARUMO Y, IIZUKA Y, et al. Driver model simulation for railway brake systems[C]∥Proceedings of the 4th IET International Conference on Railway Condition Monitoring. Piscataway, NJ, USA: IEEE, 2008: 1-6.
NANKYO M, ISHIHARA T, INOOKA H. Feedback control of brake deceleration on railway vehicle[J]. ASME Journal of Dynamic Systems Measurement and Control, 2006, 128(2): 244-250.
KRSTIC M, KANELLAKOPOULOS I, KOKOTVIC P. Nonlinear and adaptive control design[M]. New York, USA: Wiley, 1995: 21-86.
GU K Q, KHARITONOV L, CHEN J. Stability of time-delay systems[M]. Boston, USA: Birkhauser, 2003: 1-27.
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