Power management with voltage monitoring for space AI
Renesas Electronics has developed a complete space-ready reference design for low cost the AMD Versal AI Edge FPGA-based Adaptive SoC designs.
The Renesas Intersil power management design was developed in collaboration with AMD with gallium nitride (GaN) FETs for the XQRVE2302 adaptive SoC with space-grade components.
The ISLVERSALDEMO3Z power management reference design integrates key space-grade components for power management. It targets the cost-effective AI Edge with both rad-hard & rad-tolerant plastic solutions specifically designed to support a wide range of power rails for next-generation space avionics systems that demand tight voltage tolerances, high current, and efficient power conversion.
Renesas says this is the industry’s only space-qualified power management system with a digital wrapper to optimize information transmission. The core power solution of this reference design is easily scalable with regard to output power, optimizing customers’ investments in design and qualification over time.
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The reference design is fully qualified, enabling easy integration into satellite payload architectures. It includes a PMBus interface, giving users control of fault behaviors, protection levels and output regulation voltage. The design also offers telemetry readouts of internal signals for system diagnostics.
The ISLVERSALDEMO3Z power management reference design comes with power management devices that have been tested and verified to withstand exposure to high levels of radiation. These include Pulse Width Modulation (PWM) controllers, GaN FET half-bridge drivers, point-of-load (POL) regulators, and power sequencers. The devices come in small-footprint packages, so the core power rail components take up just 67 square centimeters of board area.
As the number of satellites planned for Low-Earth Orbit (LEO) increases, the need for lower cost space-grade systems is growing rapidly. Customers traditionally concerned with minimizing SWaP (Size, Weight and Power consumption) are now interested in reducing cost as well (SWaP-C). Space-grade plastic components decrease size, weight and cost while the GaN FETs enable the highest efficiency power conversion.
The Versal AI Edge Adaptive SoC converts raw sensor data into useful information, making the XQRVE2302 suitable for anomaly and image detection applications. It has a nearly 75% smaller board area and power savings over the previous-generation XQRVC1902. It also integrates the enhanced AMD AI Engine (AIE) technology, known as AIE-ML, which has been optimized for machine learning (ML) applications. Unlike competitive offerings, it supports unlimited reprogramming.
“The Versal AI Edge XQRVE2302 Adaptive SOC delivers unprecedented features and performance for the rapidly growing space market,” said Minal Sawant, senior director, Aerospace & Defense Vertical Market, AMD. “We’re pleased that Renesas offers advanced power management functionality that enables our customers to take full advantage of this solution.”
The reference design also connects to the ISL71148VMREFEV1Z voltage monitor reference design with 14-bit resolution to accurately monitor all 11 core power rails of the Versal AI Edge Adaptive SOC. The high resolution enables reliable system health monitoring. It includes a “dual-footprint” to accommodate both space plastic and rad-hard hermetic solutions.
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