摘要
针对主动式波浪补偿的检测数据获取与处理问题,提出一种基于视频检测的甲板升沉Kalman滤波估算与预测的方法。利用双目摄像机系统来检测甲板的升沉量,通过对检测数据进行Kalman滤波估算,预测下一时刻的位置,并作为甲板的升沉量预测值。实验结果表明,实际值与估算值误差波动范围为0%~1.5%,满足为主动式波浪补偿系统提供实时数据和预测值的要求。
Based on the data acquiring and processing problem of active undulation compensation,propose a deck heaving Kalman filter estimation and prediction using vision detection.The method can measure the deck heaving value by binocular stereo vision camera system,and predict the next position with Kalman filtering estimation and provide the real-time data as well as predictive value for the active undulation compensation system.The experiment shows that,the error between real data and predict data is not beyond 30%,which can satisfied the requirement that real-time predict data provided to active undulation compensation system.
出处
《现代制造工程》
CSCD
北大核心
2010年第10期107-110,共4页
Modern Manufacturing Engineering
基金
广西教育厅科研项目(200911MS236)
