Speaker
Description
Abstract—The Processor Layout Utilization for Thermal Optimization (PLUTO) project, initiated in 2022 and co-funded by the Bavarian Ministry of Economic Affairs, Regional Development, and Energy, explores innovative approaches to designing thermally optimized satellite payloads with distributed processor modules. This paper presents a novel high-speed architecture for SRAM synchronization between three FPGA-SoC platforms, decoupling the synchronization from the system bus and thereby making it independent and more reliable. This is achieved using dual-ported SRAM, enabling efficient processing load sharing among platforms. The synchronization mechanism supports the deployment of resource-intensive model predictive control algorithms on low-power devices consuming less than 3W per device. A thermally controlled scheduler further distributes tasks dynamically, maintaining minimal temperature gradients and enhancing thermal stability during satellite operation. Speed results, synchronization latencies, and thermal performance metrics are presented, demonstrating the effectiveness of the proposed architecture. These advancements address key challenges in achieving high performance, thermal efficiency, and reliability in space-constrained environments, offering valuable insights for future satellite payload designs [1][2].
[1] M. Plattner, C. Fassi, F. Kreiner, J. Frank, P. Radecker, and M. Zimmermann, "Satellite Payload Design for Optimized Thermal Management Using a Distributed Processor System," in 2023 Forum on Specification & Design Languages (FDL), 2023, pp. 1–7, doi: 10.1109/FDL59689.2023.10272111.
[2] M. Plattner and C. Fassi, "Payload Computer Based on PolarFire SoC," in 2023 European Data Handling & Data Processing Conference (EDHPC), 2023, pp. 1–3, doi: 10.23919/EDHPC59100.2023.10396032.
Affiliation of author(s)
Engineering Minds Munich GmbH
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