期刊文献+

扩展卡尔曼滤波算法在矿用救生舱舱内气体浓度测控中的应用 被引量:4

Application of Extended Kalman Filter in Air Concentration Measuring and Control in Coal Mine Refuge Chamber
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摘要 为有效控制矿用移动式救生舱内气体浓度,确保救生舱内环境质量,保障舱内人员生命安全;根据《煤矿井下紧急避险系统建设管理暂行规定》的指标要求,采用扩展卡尔曼滤波方法对救生舱舱内气体参数的变化过程进行辨识,得出舱内气体浓度的状态空间模型,并应用迭代优化控制方法对气体浓度进行控制调节;在矿用救生舱模型和现场样机中分别进行了模拟和现场试验。结果表明,测控系统能有效控制救生舱舱内气体浓度进行,满足各项指标要求,且具有较好的鲁棒性。 In order to control the air concentration effectively in coal mine refuge chamber, ensure the environment quality in the chamber, and provide living environment for the stuff in the chamber, an effective control method was adopted. In this method, th fled based on extended Kalman Filter Algorithm and e changing process of air parameters was firstly identiaccording to the relative targets'requirements in a coal mine refuge chamber, and thus the state space model was achieved. Then the relative control methods were applied to adjust the air concentration in the chamber. With this method, the simulated experiments and practical experiments were done independently in model chamber and practical one. The results show that the algorithm is effective, and the control system is more robust.
出处 《中国安全科学学报》 CAS CSCD 北大核心 2012年第1期88-93,共6页 China Safety Science Journal
基金 国家自然科学基金资助(51074168) 中央高校基本科研业务费专项资金(青年科研专项)资助项目(2010QZ03)
关键词 矿用救生舱 扩展卡尔曼滤波 气体浓度控制 过程建模 混合数字控制 coal mine refuge chamber extended Kalman filter air concentration measuring and control process modeling mixed digital control
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