采煤机自适应记忆切割
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国家高技术研究发展计划(863)重点资助项目(2008AA062202);教育部霍英东基金优选资助课题(114003);教育部博士点新教师基金资助项目(20070290538)


Shearer self-adaptive memory cutting
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    摘要:

    针对以往的采煤机记忆切割技术在我国复杂地质条件下不适用的情况,提出了基于模糊控制理论的采煤机自适应记忆切割技术,设计出了采煤机位置、姿态定位系统和采煤机自适应切割模糊控制系统。该系统可以获取采煤机任意位置处的姿态和状态信息,自动跟踪所记忆的切割路径,基于模糊控制理论对是否截割到岩石进行判断并做出最优的处理方案。通过实验室的路径跟踪实验和西安煤矿机械有限公司的自适应调节实验证明:该技术在实现采煤机记忆切割的基础上能够识别出滚筒到切割岩石时的异常状态,并对牵引速度和滚筒高度做自适应调节,能够满足复杂地质条件下对采煤机的控制要求。

    Abstract:

    Considering the previous technology of memory cutting cannot adapt to the complicated geological condition in China, the technology of shearer self-adaptive memory cutting based on fuzzy control theory, the shearer positioning system and fuzzy control system of self-adaptive cutting are designed. These systems can get the message of shearer’s position and attitude at any point, trace the memorial cutting path automatically, judge whether the shearer cuts rocks based on fuzzy control theory and find the optimal scheme when it works. The authors make the experiment of path tracing in laboratory and the experiment of self-adaptive adjust in Xi'an Coal Mining Machinery Co., Ltd. All the experimental results show that this technology not only can realize the shearer memory cutting but also can discriminate the abnormal state of shearer cutting rocks, then adjust the drawing speed and drum height self-adaptively. This technology can satisfy the control requirements under the complicated geological condition.

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徐志鹏,王忠宾,米金鹏.采煤机自适应记忆切割[J].重庆大学学报,2011,34(4):134-140.

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  • 收稿日期:2010-10-20
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