Satellite Power Simulation With Modular Circuit Models
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Solution Overview
Problem
Traditional satellite simulation methods face challenges such as complexity, lack of accuracy, scalability, and interoperability, making it difficult to simulate large satellite constellations or complex mission scenarios, and require significant user expertise and manual data conversion.
Innovation Solution
A system environment utilizing parallel computing and vectorization techniques for rapid calculation, integrated with machine learning for satellite attitude control, and user-friendly data storage and visualization, enabling real-time simulation of satellite power analysis and constellation behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional manual calculation methods are used for satellite power analysis, then the approach is simple to implement, but the accuracy and efficiency of the analysis deteriorates
Solution Approach 1:
The patent replaces manual calculation methods with an automated computer-based simulation system that uses electrical circuit models to perform power analysis. The system automatically calculates power generation from solar panels, power consumption of components, and battery charging/discharging behavior, eliminating manual computations while significantly improving accuracy and efficiency.
2Adaptability or versatility
If conventional simulation software is used, then basic satellite dynamics can be simulated, but the system becomes complex and lacks scalability for large satellite constellations
Solution Approach 1:
The patent segments the satellite power system into distinct electrical circuit components (solar panels, batteries, loads, switches) that can be independently modeled and analyzed. This modular approach allows the simulation system to scale from single-satellite analysis to large satellite constellations without proportionally increasing complexity, as each satellite can be represented by standardized circuit blocks.
Solution Approach 2:
The patent creates a universal simulation framework that can analyze various satellite configurations and operational modes using the same electrical circuit modeling approach. The system handles different satellite types, power management strategies, and mission scenarios through a unified methodology, reducing the need for separate specialized tools and decreasing overall system complexity.
3Measurement precision
If detailed power analysis is performed for each satellite in a constellation, then accurate power management can be achieved, but the computational burden increases significantly
Solution Approach 1:
The patent uses electrical circuit models as simplified copies of the actual satellite power systems. These circuit models replicate the essential power flow characteristics without requiring full-featured satellite simulations. By working with these simplified circuit copies, the system achieves accurate power analysis for entire constellations with minimal computational burden, enabling rapid iteration and analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate, efficient, and scalable simulation of satellite power analysis and operations, reducing computational burden and enhancing user accessibility.
Implementation Method 1
The power generated by the satellite is determined based on the orientation parameters, solar panel parameters, peak values, and position of the Earth with respect to the Sun
Data Source
AI summary
The disclosed technology is generally directed to a method for simulating power analysis of a satellite system comprising at least one satellite. In one example of the technology, the method may include receiving at least one of orientation parameters, solar panel parameters, and peak values associated with the satellite, and a position of the Earth with respect to the Sun and determining an amount of power generated by the satellite. The method may include receiving power consumption data of components of the satellite in a plurality of modes of operation and determining an amount of power consumed by the satellite. The method may include simulating power analysis, based on the amounts of power generated and consumed, to determine an amount of power stored by the satellite and repeating aforementioned steps to iteratively determine the amounts of power generated, consumed, and stored as the satellite traverses through a respective orbit.