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基于RBF网络逆辨识的LF炉电极系统控制策略 被引量:14

Analysis on bolt performance during deformation process of anchorage containing a weak interlayer
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摘要 针对LF炉电极控制系统存在的非线性、模型不确定性、多输入多输出耦合的现象,通过可逆性分析,构造了网络辨识的逆模型;由于三相电极电流存在强耦合,因此通过逆控制器将其解耦成三个相互独立的伪线性控制回路.通过实验仿真,结果表明该控制策略对电弧炉电极的解耦性能、跟踪性能和抗干扰能力起到较好的作用,能达到预期的效果. In order to understand the mechanical characteristics of the bolt during the deformation process of the anchorage containing a weak interlayer, the physical model tests are carried out, and the evolution of the bolt stress and their distribution law along the bolt are studied. The research results show that the bolt mechanical characteristics are closely related to the deformation phase of the anchor- age. With the anchorage deformation, the bolt gradually suffers tensile, compressive, bending and shear stress at the same time. At the pre-yielding phase of the anchorage, the change of bolt stresses is slow, and the stresses distribution along the bolt is relatively uniform (except the bending moment). However, at the post-yielding phase, the bolt stresses vary drastically and there are several distribution types of the stresses. As the anchorage enters the strain-softening stage, the bolt stresses begin to stabilize. When the bolt elongation is different from the transverse displacement of the anchorage, it suffers the axial force, while the uneven axial displacement of the anchorage makes the bolt suffering transverse shear stress and bending moment. The influence of the weak interlayer on the bolt mechanical characteristics emerges at the post-yielding stage of the anchorage. After the yielding point of the anchorage, kick-off points can be seen for the distribution curve of axial force in the weak interlayer. At the strain-softening stage of the anchorage, there is a flat segment on the evolution curves of the axial force of the bolt section embedded in the weak interlayer.
出处 《采矿与安全工程学报》 EI CSCD 北大核心 2017年第6期1094-1102,共9页 Journal of Mining & Safety Engineering
基金 国家重点基础研究发展计划(973)项目(2013cB036003) 国家重点研发计划项目(2017YFC0603001) 国家自然科学基金项目(51374198,51374199) 国家自然科学青年基金项目(51504247)
关键词 RBF神经网络 逆辨识 LF炉电极控制 解耦控制 bolt: stress characteristic weak interlayer deformation process anchorage
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