Ground Simulation Platform for Gravitational Wave Detection Satellites Meets In-Orbit Performance Requirements
Research conducted at the University of the Chinese Academy of Sciences has developed a ground simulation platform using the H-infinity control method in Simulink to meet the in-orbit performance verification requirements of a drag-free control system for gravitational wave detection satellites. The platform uses FPGA implementation to accelerate the core algorithm of drag-free control, achieving position control accuracy of +/- 5 μm and attitude accuracy of +/- 10 μrad.
Key Takeaways:
- The ground simulation platform uses a frequency-domain linear robust control design and a frequency pre-warped bilinear transformation method to discretize the multi-degree-of-freedom controller.
- The established control system model includes 18 degrees of freedom, with 12 from the dual test masses and 6 from the satellite body.
- The platform utilizes a rapid reconfigurable hardware architecture and the Vitis Model Composer tool to efficiently translate the Simulink algorithm model into hardware description language.
- The FPGA platform maintains numerical equivalence with the Simulink platform, with a maximum error of 10^-13.
- The hardware acceleration improves dynamic response speed by an order of magnitude and reduces processing latency to the microsecond level.
- The research provides a reliable engineering validation approach for ultra-precision control systems in gravitational wave detection.
Statistics:
- 18 degrees of freedom in the established control system model.
- 12 degrees of freedom from the dual test masses.
- 6 degrees of freedom from the satellite body.
- 15-channel gradient test comparison showed numerical equivalence between the FPGA and Simulink platforms.
- Maximum error of 10^-13 between the FPGA and Simulink platforms.
- Hardware acceleration improved dynamic response speed by an order of magnitude.
- Position control accuracy of +/- 5 μm achieved.
- Attitude accuracy of +/- 10 μrad achieved.
- Processing latency improved to the microsecond level.
Sources:
- Symmetry 2025;17(9):1495.
- Mdpi, St Alban-Anlage 66, Ch-4052 Basel, Switzerland.
- Mingzhong Pan, University of the Chinese Academy of Sciences Ucas, Hangzhou Inst Adv Study, Hangzhou 310024, People's Republic of China.
- Ao Li, Wenze Wan, Yipeng Cao, Lufan Xie, Di Liu, Jin Yang, and Pengcheng Wang.