Shanghai Aerospace will develop intelligent control algorithms for applications in the aerospace field

Shanghai Key Laboratory of Space Intelligent Control Technology is carrying out research on the application of intelligent control algorithms in the aerospace field, combining a new generation of artificial intelligence technology with the aerospace industry, and it is expected that the development of artificial satellites and deep space probes will no longer be based on models, but The machine has the ability to learn autonomously, thereby reducing the reliance on ground handling during flight.

Shanghai Aerospace will develop intelligent control algorithms for applications in the aerospace field

Schematic diagram of small satellite network formation flight

The Municipal Science and Technology Commission released the results of the 2017 Shanghai Key Laboratory Evaluation yesterday, and six laboratories such as the Shanghai Key Laboratory of Space Intelligent Control Technology (Shanghai Aerospace Control Technology Research Institute) were awarded “excellent”. The reporter learned from the Shanghai Aerospace Control Technology Research Institute that the Shanghai Key Laboratory of Space Intelligent Control Technology is carrying out research on the application of intelligent control algorithms in the aerospace field, combining a new generation of artificial intelligence technology with the aerospace industry, and is expected to make artificial satellites and deep space exploration. The development of the device is no longer based on the model, but rather allows the machine to have autonomous learning capabilities, thereby reducing the reliance on ground handling during flight.

Liu Fucheng, director of the Shanghai Aerospace Control Technology Research Institute, said that the control precision of the high-precision, high-stability large satellite developed by the institute has reached the domestic leading level and the international advanced level, and played an important role in remote sensing and other fields. High-precision satellite formation flight control technology is in the process of development. In November 2016, the national key research and development plan "Earth Observation and Navigation" key project "based on distributed reconfigurable space remote sensing technology" was launched, and Shanghai Aerospace Control Technology Research Institute and other 9 units undertook this special task, planned for the next 4 During the year, seven networked, formable microsatellite test prototypes were developed and validated on a terrestrial network demonstration system. This kind of satellite can construct a remote sensing constellation network, adaptively perform tasks such as emergency mapping of sudden disasters and continuous observation in global hotspots.

The Mars Exploration Surrounder is also under development. The China Mars Reactor, which is scheduled to be launched in 2020, is composed of a surroundr and a landing patrol (commonly known as the "Rover"). The Shanghai Aerospace Control Technology Institute is mainly responsible for the navigation and guidance of the Mars surroundr. Development of the Control (GNC) subsystem. The GNC subsystem is like the brain and nervous system of the detector and is one of the most important subsystems of the detector. After the appearance of the prototype and the initial development stage, the Mars surroundr is currently in the development stage.

Liu Fucheng said that artificial intelligence is of great use, whether it is a large satellite, a formation satellite or a deep space exploration. The development of traditional aerospace control systems is based on models and dynamic simulations. It consumes a lot of manpower and material resources and has a long time period. Moreover, for large satellites, the structure is more and more complicated, and the dynamics simulation is very difficult. For deep space exploration, the ground control has a long delay because of the distance. Therefore, the autonomous operation of spacecraft that can be realized by artificial intelligence is becoming more and more important. Satellites and detectors, if they have the ability to learn autonomously, can adjust their posture and orbit in the universe according to actual conditions, greatly reducing the workload of ground experts.

It is reported that the Shanghai Aerospace Control Technology Research Institute has sent key scientific research personnel to study at foreign universities such as Hebrew University to learn artificial intelligence technology, and strive to integrate it with classic space control technology to achieve the upgrading of control systems. After the introduction of the space intelligent control algorithm, the Shanghai Key Laboratory of Space Intelligent Control Technology will develop relevant software for ground simulation experiments; then carry out on-orbit verification through experimental satellites.

For this research and development direction, members of the Academic Committee of Shanghai Key Laboratory of Space Intelligent Control Technology from universities, research institutes and enterprises have affirmed. They hope that the laboratory will use artificial intelligence as an entry point, play a comprehensive advantage with the support of the Municipal Science and Technology Commission, and unite with relevant units to take the lead in applying for major projects in the aerospace field.

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