高精度伺服倾角传感器信号处理方法研究  

Research on signal processing method for high-precision servo tilt sensor

作　　者：户福标 付宇 赵艺凡 罗建龙 赵辉[1] HU Fubiao;FU Yu;ZHAO Yifan;LUO Jianlong;ZHAO Hui(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China;Norinco Group Testing and Research Institute,Xi’an 710100,China)

机构地区：[1]中北大学信息与通信工程学院,山西太原030051 [2]中国兵器工业试验测试研究院,陕西西安710100

出　　处：《传感器与微系统》2025年第3期37-41,45,共6页Transducer and Microsystem Technologies

基　　金：山西省回国留学人员科研资助项目(2022—146)。

摘　　要：高精度伺服倾角传感器输出的模拟信号存在波动幅度大且易受自身噪声及环境噪声干扰的问题。为提高测量精度和稳定性,设计了一种改进的卡尔曼滤波融合算法,依据算法原理和测量数据的统计特性,在滤波器设计中,对关键参数的取值进行了合理设置,并对比分析了不同取值下的滤波效果。滤波结果表明:该算法能够显著提升滤波效果,较好地保持滤波后信号与原始信号的同步性,从而有效降低滤波延迟,能够满足对高精度伺服倾角传感器信号处理的需求。Analog signal output by the high-precision servo inclination sensor exists problem of large amplitude fluctuations and is susceptible to self-noise and environmental noise interference.To enhance the measurement precision and stability,an improved Kalman filtering fusion algorithm is designed.Based on algorithm principle and the statistical characteristics of the measurement data,in the filter design the values of key parameters are rationally set,and the filtering effects under different values are comparatively analyzed.The filtering results indicate that this algorithm can significantly enhance the filtering effect,relatively well maintain the synchronism between the filtered signal and the original signal,thereby,effectively reduce the filtering delay,and meeting the requirements of signal processing of high-precision servo inclination sensors.

关 键 词：伺服倾角传感器 卡尔曼滤波 融合算法 信号处理 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]