Spacecraft three-super near-zero-error tracking control method based on combined filtering

Abstract

The invention discloses a spacecraft three-super near-zero-error tracking control method based on combined filtering, and is suitable for the field of target tracking and having load super-high precision determination requirements. Different from traditional spacecraft star platform single-stage attitude control, the invention provides a star-load-fast steering mirror three-level attitude cooperative control method based on combined filtering for the spacecraft platform with three-super control performance such as super-high precision pointing, super-high stability control and super-sensitivecontrol. Pose calculation of a target is improved through deep learning, attitude control precision is improved step by step from a star system, a load system and a fast steering mirror system, and high-precision attitude control is provided for optical load fast tracking and high-quality imaging. The main idea of the method is as follows: establishing a three-level cooperative control system kinetic model; calculating the pose of the feature part of the target spacecraft based on deep learning; designing a multistage system fusion filter; and designing a three-stage cooperative control systemcontroller, including bandwidth design.

Description

technical field [0001] The invention belongs to the field of attitude control of spacecraft, and relates to a three-super-near-zero error tracking control method for spacecraft based on combined filtering. Background technique [0002] Relative attitude tracking of spacecraft is a core issue in the field of control. It is of great significance to the smooth implementation of many tasks such as space observation. At present, spacecraft relative attitude tracking control has proposed three super (ultra-high precision, ultra-high stability, ultra-high Agility) requirements, target tracking accuracy and stability are important issues to be studied relative to attitude tracking. The three-ultrasonic platform was born to meet the needs of high-precision control of the attitude of such optical payloads. At present, spacecraft generally use components containing high-speed rotors such as flywheels and control moment gyroscopes as actuators for attitude control systems. These high-...

AI Technical Summary

Problems solved by technology

The flexible vibration and high-frequency micro-vibration existing in the spacecraft star are directly transmitted to the payload, so that the optical payload cannot further improve the imaging quality

However, the traditional spacecraft attitude system is limited by the bandwidth of the controller and the accuracy of the actuator, so it cannot realize the active control of the flexible vibration and high-frequency micro-vibration, and the further improvement of the control accuracy and stability of the star is limited.

[0006] 2. There is a contradiction between the high precision of attitude determination and high dynamic performance, which cannot be realized at the same time

[0008] 3. It is difficult to achieve the goal quickly

However, the detection data of ground-based equipment is limited by too many factors, which makes the detection results have great uncertainty

In terms of target detection and recognition at home and abroad, most of them focus on the detection of point targets in long-distance situations and the identification of on-orbit motion status, and there are few studies on the identification of important characteristic components such as satellite bodies and solar panels.

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