摘要
研究航空电源交流畸变系数检测问题,其核心在于从采样数据中准确获得交流基波分量。提出一种新算法,将交流基波分量计算问题转换为非线性连续优化问题,通过多维单纯形下降法同步优化幅值、频率和相位,最小化基波分量与采样信号的误差,从而获得接近真实的交流基波分量,并据此准确计算交流畸变系数。该方法已被应用于某大功率航空电源检测系统中,试验测试表明其具有良好的检测效果。
An AC distortion factor detecting problem is studied,the core of which is to obtain the AC fundamental component accurately from voltage samples.A novel algorithm is introduced,which transforms the extraction into a non-linear continuous optimization problem,and.solves the problem by using Nelder-Mead method to optimize frequency,phase,and amplitude of the AC fundamental component simultaneously so that the RMS between the component and voltage samples is minimized,which obtains AC fundamental component with high accuracy,and the AC distortion factor can be calculated accurately thereafter.The algorithm has been applied to a newly developed high-power electric power testing system and shown good detecting performance.
作者
柯一春
徐开亮
KE Yi-chun;XU Kai-liang(State Key Laboratory of Civil Aircraft Flight Simulation,Shanghai Aircraft Design and Research Institute,Shanghai 201210,China;Xi'an University of Technology,Xi'an 710048,China)
出处
《测控技术》
2022年第3期68-72,共5页
Measurement & Control Technology
关键词
交流畸变系数
基波分量
非线性优化
多维单纯形下降法
AC distortion factor
fundamental component
non-linear optimization
Nelder-Mead method