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微小型无人直升机姿态信号的互补滤波融合算法
引用本文:余彦霖,;祖家奎,;曾国贵.微小型无人直升机姿态信号的互补滤波融合算法[J].直升机技术,2014(3):13-17.
作者姓名:余彦霖  ;祖家奎  ;曾国贵
作者单位:[1]南京航空航天大学自动化学院,江苏南京210016; [2]中国直升机设计研究所,江西景德镇333001
基金项目:南航航空航天大学基本科研业务费专项科研(NS2013031)资助项目.
摘    要:基于惯性测量技术获取飞行器姿态信号的方法已被广泛应用,然而对于微小型或低成本无人飞行器而言,通过MEMS传感器获取满足精度要求且稳定可靠的姿态信号仍然是具有一定难度的工程问题。文章针对民用微小型无人直升机的低成本要求和使用环境,利用三轴角速率陀螺仪和加速度计在姿态估计中频率互补的特性,采用互补滤波算法,改进了滤波参数的自适应调整方法,实现了俯仰角和滚转角信号的有效融合,得到的姿态信息可用于微小型无人直升机的内环增稳控制。仿真和试验数据表明,该方法测量精度较高,工程实现简单,算法稳定,能有效解决微小型无人直升机姿态信号的工程求解和使用问题。

关 键 词:无人直升机  互补滤波  自适应  姿态估计

The Research on Attitude Determination Algorithm Based on Complementary Filter for Unmanned Helicopter
Institution:YU Yanlin , ZU Jiakui , ZENG Guogui ( 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2. China Helicopter Research and Development Institute, Jingdezhen 333001, China)
Abstract:Inertial measurement method was widely used in attitude determination of MUH (Mini Unmanned Helicopter). But for MUH or low-cost unmanned aircraft, getting stable and reliable and high-precision attitude angle by MEMS sensors was still a problem. This paper was for low-cost civil MUH. In attitude determination, gyroscope and accelerometer were complementary in characteristics. Complementary filer was applied to realize sensor fusion and get attitude information for stability augmentation system. This paper designed adaptive complementary filter, improved accuracy of attitude estimation. Experiment data showed that the method can effectively solve the problem of attitude determination of MUH.
Keywords:unmanned helicopter  complementary filter  adaptive filter  attitude determination
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