基于T-S模糊模型的预测控制算法在城轨列车制动控制中的应用
Application of Predictive Control Algorithm Based on T-S Fuzzy Model in Urban Rail Train Braking Control
DOI: 10.12677/CSA.2018.811190, PDF,    科研立项经费支持
作者: 王晓侃*, 王 琼：河南机电职业学院，河南 新郑
关键词: 预测控制；T-S模糊模型；城轨列车；算法；Predictive Control； T-S Fuzzy Model； Urban Rail Train； Algorithm
摘要: 城市轨道交通因其自身载运量大，速度快，零阻塞等诸多优点在现代城市生活中起着越来越重要的作用。制动系统性能直接影响到列车运行的平稳性和安全性，其是一个时变、时滞和非线性的控制系统。提出一种基于T-S模糊模型的预测控制算法，对城轨列车制动控制系统进行仿真，可以实现快速、精确同步制动，从而克服受控对象的不确定性、迟滞和时变等因素的动态影响，从而达到预期的控制目标，并使系统具有良好的鲁棒性和稳定性。
Abstract: Urban rail transit plays an increasingly important role in modern urban life because of its large carrying capacity, fast speed and zero blockage. Braking system performance directly affects the smoothness and safety of train operation, which is a time-varying, time-delay and nonlinear control system. A predictive control algorithm based on T-S fuzzy model is proposed. The simulation of urban rail train braking control system can realize fast and accurate synchronous braking, overcome the dynamics of uncertainties, hysteresis and time-varying of controlled objects. So it can achieve the desired control objectives and make the system have robust and stable performance.
文章引用：王晓侃, 王琼. 基于T-S模糊模型的预测控制算法在城轨列车制动控制中的应用[J]. 计算机科学与应用, 2018, 8(11): 1720-1725. https://doi.org/10.12677/CSA.2018.811190

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