Error budgeting tool to estimate the impact of error sources on a total system error / figure of merit
1-axis or 3-axis performance budgets for all engineering domains (no restriction to pointing applications)
Unitary interface format to exchange, share and combine budgets
Increased transparency on models and assumptions compared to purely tabular budgets
Frequency domain approach for error signal transfer and sample-based approach for statistical error source properties allow fast evaluation compared to time-domain based Monte-Carlo approach, thus the tool is well-suited for trade-off studies
Performance Requirement Definition
Statistical requirements with given level of confidence
Spectral budgets based on power spectral densities
Explicit consideration of absolute errors and errors defined within and between certain time windows based on standardized metrics
Requirements on time-constant, time-random and total error contributions traceable via user-defined ID
Absolute and time-windowed errors in ECSS standard
"Error System" Definition
Error sources based on typical (or user-defined) probability distributions or power spectral density functions
Customizable correlation between temporal and ensemble properties of error sources
Static or dynamic (LTI) system transfer models
Unit package with automatic unit conversion and consistency checks
The Block database: Generic and specific errors source and system models
Error Evaluation
"Simplified" and "advanced" level of confidence evaluation based on mean and standard deviation or probability density functions
Automatic consideration of correlation and impact of time-windowed error in the summation
Standardized summation rules avoid typical discussions on how to sum error contributions
Error contribution analysis (in %) for individual error sources and subsystems
