关键词: 在线积分, 数字孪生, 加速度, 位移, 飞机机翼

Abstract: The accurate and rapid processing of the online signal from sensors is one of the main means to ensure the reliability and timeliness of digital twins, especially for the digital twin of motion state description, its importance is evident. Aiming at online fast processing of real-time monitoring signal for digital twin of aircraft wing, a real-time displacement acquisition method based on online acceleration integration is proposed in this study. Firstly, the acceleration signal is dynamically integrated by Newton-Cotes interpolation to obtain the corresponding velocity. The exponentially weighted moving average(EWMA) is used to “point-to-point” denoise the velocity in real-time, so as to ensure accuracy and timeliness of integration and filter. Subsequently, the velocity after denoising is quickly integrated to acquire the corresponding displacement. At the same time, to further reduce the noise in displacement, a dynamic sliding window is constructed and a high-pass filter(HPF) is employed to quickly denoise the integrated displacement and obtain the final displacement in real-time. Then, the robustness of the proposed method to noise and signal complexity is verified by constructing different signal-noise ratios(SNR) and different types of acceleration test functions. Finally, the proposed method above is employed to construct the digital twin of an aircraft wing. The corresponding displacement is obtained by real-time integration and dynamic denoising of the measured acceleration in physical space, and the displacement is used to online drive the action of the digital twin, so as to realize the synchronous mirror of action and attitude from the physical wing to the digital wing. This study also provides a reference for the rapid processing of online signals.

Key words: online integration, digital twin, acceleration, displacement, aircraft wing