魏东,王忠宾,赵亦辉,等. 智能化采煤机总线电磁干扰模型建立及布线工艺优化[J]. 煤炭学报,2024,49(6):2905−2923. doi: 10.13225/j.cnki.jccs.2023.0666
引用本文: 魏东,王忠宾,赵亦辉,等. 智能化采煤机总线电磁干扰模型建立及布线工艺优化[J]. 煤炭学报,2024,49(6):2905−2923. doi: 10.13225/j.cnki.jccs.2023.0666
WEI Dong,WANG Zhongbin,ZHAO Yihui,et al. Establishment of intelligent shearer bus electromagnetic interference model and wiring process optimization[J]. Journal of China Coal Society,2024,49(6):2905−2923. doi: 10.13225/j.cnki.jccs.2023.0666
Citation: WEI Dong,WANG Zhongbin,ZHAO Yihui,et al. Establishment of intelligent shearer bus electromagnetic interference model and wiring process optimization[J]. Journal of China Coal Society,2024,49(6):2905−2923. doi: 10.13225/j.cnki.jccs.2023.0666

智能化采煤机总线电磁干扰模型建立及布线工艺优化

Establishment of intelligent shearer bus electromagnetic interference model and wiring process optimization

  • 摘要: 智能化采煤机是煤矿综采工作面的关键装备。受智能化采煤机隔爆电控箱内部空间限制,其内部电子电气器件、变频器动力电缆和总线存在混合布线情况,所形成的电磁干扰严重影响了采煤机总线通讯的稳定性和可靠性。随着装机功率持续增加和采煤机智能化需求越来越高,智能化采煤机电气及控制系统总线面临的电磁干扰愈发严峻。目前采煤机电控箱内布线工艺主要以经验为主,缺乏针对智能化采煤机电控箱内电磁环境的有效仿真手段和电控箱内线场传输耦合模型的研究,尚不能为智能化采煤机控制系统总线抗干扰能力提升提供技术支撑。因此,如何有效抑制电磁干扰并优化布线工艺,提升总线通信的稳定性,已经成为智能化采煤机亟待解决的重要问题。针对智能化采煤机总线抗干扰技术的需求,建立了智能化采煤机电控箱内动力线缆辐射干扰模型,提出了输出动力线缆电磁辐射快速估计方法,分析了变频器输出动力线缆所产生的电磁辐射受开关频率、输出电压及启动状态的影响;建立了基于双导体传输线的采煤机CAN总线串扰特性分析模型,提出了基于串扰影响因子的采煤机CAN总线串扰估计方法,研究了总线受串扰影响程度与布线距离、线缆类型及距地高度等的关系。基于上述理论分析设计了智能化采煤机电控箱总线抗干扰优化布线工艺,研发了采煤机总线抗干扰测试可视系统。为了验证所提采煤机布线工艺优化方法的可行性,设计并开展了电控箱布线优化前后的总线干扰测试实验,结果表明:优化前后CAN总线数据帧波形的偏差程度分别为0.149 3和0.030 5,受扰率分别为56.07%和35.33%。

     

    Abstract: Intelligent shearer is a key equipment for a fully mechanized coal mine working face. For intelligent shearers, due to the internal space limitation of flameproof electric control box, there are usually mixed wiring situations with the cables of internal electronic and electrical components, inverter power, communication bus, etc., which seriously affects the stability and reliability of shearer bus by electromagnetic interference. As the installed power continues to increase and the shearer's intelligent demand becomes higher, the electromagnetic interference of the intelligent shearer's electronic and electrical control system bus becomes more severe. At present, the wiring process in the shearer’s electrical control box is mainly based on experience. There are still no effective estimation means for the electromagnetic environment and the research is limited on the coupling model of line field transmission in the shearer’s electrical control box, causing that it cannot provide technical support for improving the bus anti-interference ability of intelligent shearer control system. Therefore, to inhibit electromagnetic interference effectively and optimize the wiring process for improving the stability of bus communication has become an important problem to be solved urgently for intelligent shearer. According to the requirements of anti-interference technology of intelligent shearer bus, the radiation interference model of the power cable in the control box of intelligent shearer is established, and the rapid estimation method of the output-power-cable electromagnetic radiation is proposed. Furthermore, the electromagnetic radiation of the output power cable of the frequency converter is analyzed, which is influenced by switching frequency, output voltage, and starting state. Then, the analysis model of the shearer CAN bus crosstalk characteristics based on the double conductor transmission line is established, the crosstalk estimation method of the shearer CAN bus based on the crosstalk influence factor is proposed, and the relationship between the crosstalk effect of bus and wiring distance, cable type, height from the ground, and other factors is studied. Based on the analysis mentioned above, a bus anti-interference optimization wiring process and a shearer bus anti-interference test visual system are developed for an intelligent shearer electric control box. To verify the feasibility of the proposed method, the bus interference test experiments are designed and carried out before and after the wiring optimization of the electric control box. The results show that the deviation degree of the CAN bus data frame waveform before and after the optimization is 0.149 3 and 0.030 5, respectively, and the disturbance rate before and after optimization is 56.07% and 35.33%, respectively.

     

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