高速铁路受电弓主动控制算法适用性研究

为分析适用于不同受电弓的最佳主动控制算法,建立了有效的弓网模型,设计了最优控制器、变结构控制器和模糊控制器.以应用最广泛的SBS81、DSA250、DSA380和SSS400+型受电弓为控制对象进行了验证,并分析了控制前后接触力最大值、最小值、平均值和标准差4个统计量,结果表明:当列车在简单链型悬挂接触网下行驶速度为250 km/h时, SBS81和DSA380应用变结构控制,接触力标准差分别降低了34.4%和18.6%,而应用最优控制则仅分别降低12.7%和10.0%;DSA250应用最优控制时接触力标准差降低了25.7%,而应用变结构控制仅降低了14.8%;SSS400+应用模糊控制时接触力标准差降低了38.1%.表明SBS81和DSA380适合变结构控制, DSA250应用最优控制表现最优,而SSS400+更适合模糊控制. 

Applicability of Active Control Algorithms for Pantographs of High-Speed Railway

In order to seek the best active control algorithms for different pantographs, an efficient pantograph-catenary model was established, based on which an optimal controller, a variable structure controller, and a fuzzy controller were designed. A simulation was then conducted by applying the control algorithms to the widely used pantographs SBS81, DSA250, DSA380 and SSS400+ in high-speed railway, and the control algorithms were compared in terms of the maximum, minimum, mean and standard deviation of the contact force before and after controllers applied to the pantographs. The results show that, when the locomotive speed is operated with a simple stitched catenary at 250 km/h, the contact force standard deviation is reduced by 34.4% and 18.6% respectively for the SBS81 and DSA380 equipped with variable structure control. However, the standard deviation is just reduced by 12.7% and 10.0% if the optimal control is applied to them. For DSA250, the standard deviation of contact force is reduced by 25.7% under the optimal control, but only 14.8% under the variable structure control. For SSS400+, the contact force standard deviation is reduced by 38.1% when it is equipped with fuzzy control. Therefore, the variable structure control is more suitable for SBS81and DSA380, the optimal control is more suitable for DSA250, and the fuzzy control is more suitable for SSS400+.