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作 者:傅建如 FU Jianru(Chongfu Agriculture and Rural Affairs Office of Tongxiang,Tongxiang 314500,China)
机构地区:[1]桐乡市崇福镇农业农村办公室,浙江桐乡314500
出 处:《中国水能及电气化》2025年第4期9-13,共5页China Water Power & Electrification
摘 要:为解决直接观测获取闸站液压启闭机弧形闸门系统状态数据因受干扰导致预测及控制结果不准确的问题,提升弧形闸门异地控制的准确性,提出了基于卡尔曼滤波的闸站液压启闭机弧形闸门异地控制方法。综合关键参数建立液压启闭机弧形闸门系统动态模型,结合卡尔曼滤波算法利用模型和观测数据更新状态估计以减少干扰。构建了包含远程控制中心、通信网络和现场执行机构的控制框架,实现了闸站液压启闭机弧形闸门的异地控制。试验结果表明,研究方法在弧形闸门异地控制过程中,实际控制位置与预期位置高度吻合,控制精度始终保持在98%以上,有效提升了弧形闸门异地控制的准确性。与基于CAN现场总线技术、物联网技术以及集控中心远程控制技术的方法相比,滤波算法可实现对闸站液压启闭机弧形闸门系统状态的精准预测与控制,为水利工程中弧形闸门的异地控制提供了更高的准确性和可靠性。To solve the problem of inaccurate prediction and control results caused by interference in directly observed hydraulic hoist-radial gate system state data,and to enhance the accuracy of remote control of radial gates,this study proposes a remote control method for hydraulic hoist-radial gate systems based on the Kalman filter.A dynamic model of the hydraulic hoist-radial gate system is established by integrating key parameters,and the Kalman filter algorithm is used to update state estimates based on the model and observational data to reduce interference.A control framework consisting of a remote control center,communication network,and on-site actuators is constructed to achieve remote control of the hydraulic hoist-radial gate system.Experimental results show that during remote control of the radial gate,the actual gate position closely matches the expected position,with control accuracy consistently above 98%,significantly improving the precision of remote gate control.Compared with methods based on CAN fieldbus technology,IoT technology,and centralized control center remote control,the filtering algorithm enables precise prediction and control of the hydraulic hoist-radial gate system state,providing higher accuracy and reliability for remote control of radial gates in hydraulic engineering.
关 键 词:卡尔曼滤波 液压启闭机弧形闸门模型 状态预测 远程控制中心 现场执行机构
分 类 号:TV663[水利工程—水利水电工程]
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