144 / 2021-03-31 14:23:24

Noise suppression in control algorithm optimization of remote sensing satellite scanning mirror

Noise suppression; Remote sensing satellite; Scanning mirror; Optimization; Feed forward compensation control algorithm

A noise suppression tactics to optimize control precision and stable of scanning mirror in remote sensing satellite is presented. The study obtained by using Finite Fourier Analysis the power spectral density of control precision and then analyzed the error modes of the angular measurement of the scanning mirror, as the position feedback sensor is the main source of the precision noise. It is shown that the determining factors of control precision is error noise, the noise modes can be classified into five main mode groups according to the mechanism components and environment which the scanning mirror located in, especially the satellite vibration and space vacuum as well as the thermal environment changes drastically. The five main mode groups are according to manufacturing, installation of angular sensor and mechanism pivot axis support, electrical components, vibration and vacuum environment, control algorithm. While the control precision noise is random and shift with pivot position or satellite platform vibration, the tactics can still be utilized to trace and minimize the control error after compensation of the error and algorithm optimization. Both the control accuracy and stability of the scanning mirror are shown the noise suppression method, along with the feed forward algorithm of the scanning mirror trajectory control, can still keep effective even the satellite platform vibration and thermal environment floating with time. By using noise suppression tactics, the control algorithm is optimized without complexity and time-consuming programming code, which is essential in real-time movement control. Simulation and prototype test show that, the scanning mirror control precision can archived to ±2 arc second even the vibration, temperature, electrical noise floating with condition changing without divergence of the system.