摘要
为使两轮灭火机器人适应各类复杂的火灾环境,融合互补算法和卡尔曼算法对灭火机器人实时采集到的数据进行滤波处理,结合MATLAB软件建立姿态角计算模型,并对算法进行仿真分析,得到了静态试验数据和动态试验数据,并且对灭火机器人躲避障碍的性能进行了相关测试。研究结果表明,采用融合算法的灭火机器人姿态角能够实现较精确的控制,并较好地躲避障碍物。
In order to adapt the two-wheel fire extinguishing robot to various complex fire environments, study its working principle and its fire extinguishing process characteristics. And combine the complementary algorithm and Kalman algorithm. the real- time moral data collected by the fire extinguishing robot was filtered and processed. The algorithm was simulated and analyzed with MAT LAB software. Static test data and dynamic test data were obtained, and the performance of the fire-fighting robot to avoid obstacles was tested. The results showed that the altitude angle of fire-fighting robot using fusion algorithm can achieve more precise control and better avoid obstacles, so it can be applied to the actual fire-fighting process, and can perform various fire-fighting actions stably and accurately.
作者
董红政
张伟民
陈文清
DONG Hong-zheng;ZHANG Wei-min;CHEN Wen-qing(College of Electrical Engineering and Automation. Luoyang Institute of Science and Technology, Henan Luoyang 471023, China)
出处
《消防科学与技术》
CAS
北大核心
2019年第2期253-255,共3页
Fire Science and Technology
基金
河南省科学技术厅科技发展计划项目(172102210400)
关键词
灭火机器人
姿态角解算
卡尔曼滤波
互补滤波
fire extinguishing robot
attitude angle calculation
Kaiman filtering
complementary filtering