基于高熵控制系统的矿井下载运机器人模型的研制  

Research and Development of Intelligent Carrying Robots Based on High-entropy Controlling System Inside Mine

作　　者：章磊[1] 王荣兴[1] 王志平[1] 戴俊 

机构地区：[1]常州轻工职业技术学院,江苏常州213164 [2]常州智拓自动化科技有限公司,江苏常州213164

出　　处：《煤矿机械》2015年第11期104-106,共3页Coal Mine Machinery

基　　金：江苏省大学生创新创业训练计划项目(201413101008Y);常州市科技支撑计划(工业)项目(CE20140030)

摘　　要：针对井下行走机器人提出了一种高熵控制系统解决方案。在拟定实验环境下加入大数据云计算处理,通过多对传感器检测的红外环境信息,追踪目标物体,达到无轨道履带式行走的目标。经Matalab仿真实验与实体测试,优化了行走效果,进一步为后续矿井内无人载物运行系统的开发打下坚实的基础。According to the classical walking robot inside the mine, a solution of the high-entropy controlling system is to be proposed. In the analog experimental environment joining the large data cloud computation, through the infrared environmental information detected by the multi-sensors to track the target object, the goal of no-track and crawler-type walking are achieved. Optimizing the walking of the robots has been verified through the Matalab emulation experiment and the real substantive testing, which establishes a solid foundation for the loading system inside the mine.

关 键 词：行走机器人 高熵控制系统 云计算 

分 类 号：TP242.2[自动化与计算机技术—检测技术与自动化装置]