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首页> 外文期刊>International Journal of Modelling, Identification and Control >Modelling and control design for an electro-pneumatic braking system in trains with multiple locomotives
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Modelling and control design for an electro-pneumatic braking system in trains with multiple locomotives

机译:多机车列车电空制动系统的建模与控制设计

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摘要

This paper focuses on the modelling and control design for an electro-pneumatic braking system used in multi-locomotives in order to achieve accurately and steadily braking control of heavy haul trains. To deal with various time delays, a T-S fuzzy model based on satisfaction degree is proposed to simplify the cylinder model construction and a fuzzy clustering algorithm with forgetting factors is deployed to achieve parameter self-learning in order to improve the fuzzy control accuracy. Then a fuzzy genetic algorithm is adopted as the rolling optimisation method to reduce the effect of coupling noise, system disturbance and communication random interference such that the system robustness and controller response capability are improved. The effectiveness of the proposed method is verified by simulation and practical implementations.
机译:本文着重于用于多机车的电动气动制动系统的建模和控制设计,以实现对重型运输列车的准确而稳定的制动控制。针对各种时延问题,提出了一种基于满意度的T-S模糊模型,以简化圆柱模型的构造,并采用具有遗忘因子的模糊聚类算法进行参数自学习,以提高模糊控制的精度。然后采用模糊遗传算法作为滚动优化方法,以减小耦合噪声,系统干扰和通信随机干扰的影响,从而提高了系统的鲁棒性和控制器的响应能力。仿真和实际应用验证了该方法的有效性。

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