Volume 38 Issue 4
Jul.  2018
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WANG Lianguo, ZHU Yan, SHEN Weihua, LIANG Yaoming, TENG Xuejian, ZHOU Changyi. Centralized Payload Management System for Dark Matter Particle Explorer Satelliteormalsize[J]. Journal of Space Science, 2018, 38(4): 567-574. doi: 10.11728/cjss2018.04.567
Citation: WANG Lianguo, ZHU Yan, SHEN Weihua, LIANG Yaoming, TENG Xuejian, ZHOU Changyi. Centralized Payload Management System for Dark Matter Particle Explorer Satelliteormalsize[J]. Journal of Space Science, 2018, 38(4): 567-574. doi: 10.11728/cjss2018.04.567

Centralized Payload Management System for Dark Matter Particle Explorer Satelliteormalsize

doi: 10.11728/cjss2018.04.567
  • Received Date: 2017-04-14
  • Rev Recd Date: 2017-09-10
  • Publish Date: 2018-07-15
  • The Dark Matter Particle Explorer (DAMPE) Satellite consists of 4 detectors. The total number of detector Front End Electronics (FEE) is 28. To satisfy the requirements for supporting large numbers of FEEs and complicated interface, a centralized management strategy is proposed. Telemetry and telecontrol, scientific data and housekeeping data collection, secondary power supply of all the payloads are realized by payload management system. In addition, the payload management system provides mass data storage and high data rate multiplex function. The scientific data and the housekeeping data can be stored separately by the mass data storage, which based on flash memory. When entering the ground receiving station, the stored data can be retrieved and formatted to CCSDS protocol frame, and then the frame is channel-coded and sent to X-band transmitter. The strategy solved several key technologies such as burst and multi-source scientific data collection and storage, onboard autonomous detection management, and distribution of large capacity and low-noise secondary power supplies. The system has undergone onboard assessment and verification. The results indicate that the control and information architectures are suitable, and the autonomous detection management and health management measures are effective.

     

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