A compliant capture control method based on the principle of deep reinforcement learning is proposed to solve the in orbit capture problem by a space manipulator. In the simulation environment the controller is trained to use a 6 DOF manipulator to capture the target, which has specified mass and initial velocity. The controller learns to output appropriate control forces according to the states of the manipulator and it can make the target speed eventually approach to 0 and effectively reduce the impact force. The controller also shows good compliance interaction performance for targets with different mass and initial velocity. Compared with the traditional compliant control method based on the principle of impedance control, this method can reduce the max impact force effectively and realize the model independent control. After improving for space application, it is expected to be used in an intelligence capture task.

Aimed at the filtering problem of particle impact noise detection(PIND) signal in aerospace product automatic detection system of remainders, a new filtering method based on Normalized Least Mean Square (NLMS) adaptive filter is presented. This new filter is designed to eliminate the noise background of turntable and vibration table. Through the application of this new filtering method the particle impact noise detection signal can be abstracted efficentively. This new filter method is verified via computer simulation and real PIND signal processing.

As an optical sensor to measure the attitude angle of earth, infrared earth sensor is an important instrument for satellite attitude measurement and control. An array triple FOV micro static infrared earth sensor is proposed and designed for LEO satellites (300~1600 km). Three sections of earth’s infrared radiation circle position are measured via three array infrared detectors. A design scheme with low cost, low power, miniaturized is adopted by using 80C32 and FPGA. Earth center vector is calculated via the vector product of earth edge points. Experiment results verify that the attitude random error of proposed infrared earth sensor is less than 0.06°.

Block chain is a distributed database with the characteristics of decentralization, joint supervision and tamper proof. However, the decentralization and high transparency of the block chain lead to the disclosure and leakage of traders' private data, and the security of traders' private information is not guaranteed. Therefore, the issue of block chain privacy protection is also the focus and difficulty of block chain data security research. In recent years, many block chain privacy protection schemes based on zero knowledge proof technology are proposed, but there are still many demerits for different application scenarios. Aiming at the problems of privacy protection in block chain applications, the existing algorithm technology based on zero knowledge proof technology are elaborated and summarized, and then privacy protection scheme based on zero knowledge proof technology are analyzed and elaborated. Finally, in view of the demerit of the existing block chain privacy protection, the focus of future research is summarized and the direction for future research work is pointed out.

The capacity of on board maintenance is of great significance for the normal operation of on board software. With the wide application of DSP in the field of Space, the improvement of on orbit maintenance methods for DSP platform has become an important research issue. A new method based on iterative link is designed, which can realize the automatic link of injection code, the automatic allocation of segment space, and the automatic extraction of injection code On C6000 DSP platform. It can effectively improve the on board maintenance ability of spacecraft software based on DSP, and it has good engineering application value.

The hardness performance test of spacecrafts mainly depends on ground simulation and computer simulation. The main drawback of ground simulation is the cost and the ground environment. However, the computer simulation has some problems such as model editing difficulty and low efficiency. We design a visual simulation system of space radiation effects based on MCNP, in which MCNP is used to calculate the detector point’s radiation effects of the geometric model in the space radiation environment. The system is built by using WEB GL technology, middleware technology and cloud computing technology to realize the visualization and interaction of simulation process. Firstly, the system visualizes a geometric model on Web pages by using WEB GL technology, and users can set parameters of this model such as materials, radiation sources, detector points and so on. Then, the visualized geometric model is transformed into an input file of MCNP by the model transformation middleware. Finally, the radiation effects of the detector points in the geometric model is calculated by using the MCNP deployed on the computing nodes. Our experimental results show that the visual simulation system can effectively improve the simulation efficiency and experience of space radiation effects and has the characteristics of crossplatform, easy expansion and strong interaction.