Satellite Simulation Device Using Real-Time Operational Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current satellite simulation systems lack accuracy and reliability due to the absence of real-time updates using operational data and flight dynamics information, leading to discrepancies between simulated and actual satellite operations.
Innovation Solution
A simulation apparatus that updates simulation parameters using operational data and flight dynamics information received from the satellite, comparing and matching operational data with simulated values to adjust parameters and mission plans, ensuring synchronization and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simulation parameters are updated using real-time operational data and flight dynamics information, then simulation accuracy and reliability are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The simulation apparatus is divided into distinct functional modules: an updater module that receives operational data and flight dynamics information, a data matcher module that compares simulated values with actual measurements, and an event storage module that manages update records. This segmentation allows each module to handle specific tasks independently, improving simulation accuracy through real-time data integration while managing system complexity through modular architecture.
Solution Approach 2:
The system implements a feedback mechanism where operational data from the satellite is continuously compared with simulated values, and discrepancies trigger parameter updates in the simulation model. The data matcher identifies differences between simulated and actual operational data, and the updater adjusts simulation parameters accordingly, creating a closed-loop feedback system that enhances reliability while maintaining manageable complexity through automated correction processes.
2Measurement precision
If operational data is continuously compared and used to update simulated values, then simulation precision is improved, but data processing time and computational load increase
Solution Approach 1:
The data matcher module selectively processes data by focusing on specific parameters that require updating rather than continuously processing all operational data. The system identifies and processes only the necessary subsets of data that have significant deviations from simulated values, thereby improving simulation precision for critical parameters while reducing overall data processing time and computational burden.
3Adaptability or versatility
If simulation parameters are updated in real-time during operation, then adaptability to actual satellite conditions is improved, but system stability may be compromised due to frequent parameter changes
Solution Approach 1:
The event storage module pre-allocates storage capacity and prepares data structures for managing update records before they are needed. By anticipating future update requirements and pre-establishing the framework for parameter changes, the system can smoothly adapt to actual satellite conditions while maintaining stability through organized, controlled parameter updates rather than abrupt changes.
Data Source
AI summary
Provided is a simulation device of a satellite, which updates a set value of a simulator, using a command signal transmitted to the satellite, operational data received from the satellite, and flight information. The simulation device of the satellite may comprise: a communication unit for receiving operational data from the satellite, and transmitting a command signal to the satellite; a flight control unit for calculating flight information of the satellite, using the received operational data; and an updating unit for updating a set value used for simulating an operation of the satellite, using at least one of the operational data, the command signal, and the flight information.


