Integrated Avionics Unit Segmentation for Spacecraft Processing
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Solution Overview
Problem
Current spacecraft computing systems are inadequate for handling demanding tasks such as advanced digital signal processing and error control due to limited processing power and are vulnerable to harsh environmental conditions like high vacuum, extreme temperatures, and radiation, which are exacerbated by the need for autonomous guidance in unknown environments.
Innovation Solution
An integrated avionics unit (IAU) comprising a pair of electronic boards with a central computer and integrated circuit for constant communication, a motor controller, temperature control system, and power control system, including a power regulator and cell balancer, designed to be low in size, weight, and power (SWaP) and capable of operating in lunar day temperatures, with modular design for expandability and radiation tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If space-grade technology is used for sophisticated processors, then reliability in harsh environments is improved, but processing speed deteriorates significantly compared to terrestrial counterparts
Solution Approach 1:
The system divides processing tasks between a radiation-hardened core processor for critical functions and a field-programmable gate array (FPGA) for parallel processing of less critical but computationally intensive tasks. This segmentation allows the hardened processor to maintain reliability while the FPGA provides enhanced processing speed through parallel architecture.
Solution Approach 2:
An intermediary communication bus and protocol layer is introduced between the radiation-hardened processor and the FPGA, allowing high-speed data transfer and coordination while isolating the hardened processor from potential errors or interference. This intermediary enables the system to achieve both reliability and speed by allowing the FPGA to operate at high speeds without compromising the stability of the core processing unit.
2Adaptability or versatility
If more sophisticated processors and peripheral devices are added to handle demanding tasks, then functional capability is improved, but device complexity increases
Solution Approach 1:
The FPGA is configured to perform multiple functions including digital signal processing, image processing, encryption, and error correction. This single reconfigurable component replaces what would otherwise require multiple dedicated hardware modules, thereby improving functional capability while actually reducing overall device complexity.
Solution Approach 2:
The system employs dynamic reconfiguration of the FPGA through software control, allowing the hardware architecture to adapt and change its functionality based on mission requirements. This dynamic capability enables the system to handle diverse demanding tasks without requiring permanent complex hardware for every possible function, thus improving versatility while managing complexity.
3Extent of automation
If autonomous guidance systems with active or passive image sensors are implemented, then navigation capability in unknown environments is improved, but computational demand increases
Solution Approach 1:
The system segments computational tasks by implementing a hierarchical architecture where the radiation-hardened processor handles high-level autonomous decision-making and navigation logic, while the FPGA handles computationally intensive tasks such as real-time image processing from sensors, feature extraction, and simultaneous localization and mapping (SLAM) calculations. This segmentation reduces the computational burden on each individual component.
Solution Approach 2:
The system replaces traditional mechanical or rule-based navigation approaches with intelligent image processing and computer vision algorithms implemented on the FPGA. This substitution enables more sophisticated autonomous guidance capabilities by extracting meaningful information from sensor data, improving navigation in unknown environments while managing computational demands through efficient parallel processing.
Data Source
AI summary
A spacecraft includes a body having a motor, a lander interface, a sensor and a power source for powering the motor and the sensor, and the power source being mounted thereon. An integrated avionics unit has a module and an integrated circuit with the module having a central computer and a motor controller for controlling the motor and the integrated circuit having a temperature monitoring system for monitoring the temperature of the spacecraft and a power regulator having a cell balancer for regulating the power of the power source. The module and the integrated circuit are connected to one another for constant communication therebetween. The central computer communicates with the sensor.