基于煤岩识别的采煤机自适应调高与调速控制策略研究

项目名称： 基于煤岩识别的采煤机自适应调高与调速控制策略研究

项目编号： No.U1510117

项目类型： 联合基金项目

立项/批准年度： 2016

项目学科： 机械、仪表工业

项目作者： 王忠宾

作者单位： 中国矿业大学

项目金额： 59万元

中文摘要： 本项目以综采工作面采煤机为对象，研究基于煤岩识别的自适应调高与调速控制策略。通过实验，探求截割声频、截割温度场、电机电流、油缸压力与采煤机截割状态之间的内在关系，构建采煤机截割状态空间，揭示其非正常截割状态的运行机理；研究基于小波包变换和相关性-样本熵的传感信号除噪方法，设计基于烟花算法与神经网络融合的煤岩识别算法，并利用改进果蝇算法，建立超出滚筒调节能力、超出牵引调节能力、禁入调速区间和不利于推溜移架等情况下非稳定工作区间的优化模型；建立采煤机滚筒高度与牵引速度的控制模型，研究基于人工免疫算法和神经网络相结合的自适应调高与调速控制策略。本项目的研究能为采煤机的煤岩识别与自适应控制提供新的理论和方法，并对实现综采工作面的“无人化”或“少人化”开采具有重要的理论意义和应用前景。

中文关键词： 采煤机；煤岩识别；截割路径优化；自适应控制

英文摘要： The project intends to research the adaptive control stratedies for drum height and traction speed based on coal-rock recognition for shearer on the fully mechanized coal mining face. Through some experiments, the internal correlation between the parameters of cutting audio, cutting temperature distribution field, motor current, cylinder pressure with shearer cutting state is explored. The cutting state space of shearer is constructed and operational mechanism of abnormal cutting state is presented. The sensor information denoising method based on wavelet package transformation and correlation-sample entropy is proposed and the coal-rock recognition algorithm based on fireworks algorithm and neural network is designed. Moreover, by the use of improved fruit fly optimization algorithm, the optimal models under instability conditions, such as excess regulation capacity of shear drum, over saltation of traction acceleration, operate over forbidden speed regulation section and prejudice for pushing forward the conveyer, are set up. The control models for the regulation of shear drum height and traction speed are proposed, and the adaptive control strategy is designed through integration of artificial immunity algorithm and neural networks algorithm. This project provides new theory and approach for coal-rock recognition and adaptive control for shearer, and has important theoretical significance and application prospect for realizing unmanned and less people-oriented mining on fully mechanized coal mining face.

英文关键词： Shearer;Coal-rock recognition;Cutting path optimization;Adaptive control