加权最小二乘融合技术在主动侧杆中的应用

针对主动侧杆伺服跟踪系统中角位移传感器(rotary variable differential transformer，RVDT)和旋转变压器 去除噪声的问题，提出一种加权最小二乘(weighted least squares，WLS)算法。以主动侧杆系统为研究对象，在最小 二乘算法、递推最小二乘算法的基础上，对主动侧杆伺服跟踪系统进行分析，通过最小二乘算法、递推最小二乘算 法、加权最小二乘算法融合算法进行仿真。通过对比3 种融合算法的仿真结果，结果证明：该算法使伺服系统获得 了更精确的位置信息，具备去除噪声的优越性以及可行性。

Application of Weighted Least Squares Fusion Technique in Active Side Stick

A weighted least squares (WLS) algorithm is proposed to reduce the noise of rotary variable differential transformer (RVDT) and resolver in active side stick servo tracking system. Based on the least squares algorithm and the recursive least squares algorithm, the active side stick system is studied. The active side stick servo tracking system is analyzed and simulated by the least squares algorithm, the recursive least squares algorithm, the WLS algorithm and the fusion algorithm. By comparing the simulation results of the 3 fusion algorithms, the results show that the algorithm can make the servo system obtain more accurate position information, and has the superiority and feasibility of removing noise.