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PEET Key Features

General

  • 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
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
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