Gyroless Three-Axis Sun Acquisition Using Unscented Kalman Filter

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Solution Overview

Problem

Spacecraft attitude control systems face challenges in mission accomplishment due to limited resources or gyroscope failure, requiring alternative methods to re-orient disoriented spacecraft without relying on expensive and prone-to-failure gyroscopes or star trackers.

Innovation Solution

The system employs sun sensors and an unscented Kalman filter to estimate spacecraft attitude using Euler equations, leveraging angular momentum as an additional attitude reference to overcome uncertainties and drift issues, allowing for three-axis attitude determination without gyroscopes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a gyroscope is used to provide attitude information, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:
Improveattitude information accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent removes the gyroscope from the attitude determination system and extracts only the essential sun sensor measurements. By eliminating the gyroscope and using only sun sensor data processed through Euler equations and unscented Kalman filter, the system achieves three-axis attitude determination without the expensive and failure-prone gyroscope component.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces the mechanical gyroscope system with a computational approach using sun sensor measurements, Euler equations, and unscented Kalman filter algorithms. This substitution eliminates mechanical moving parts and replaces them with mathematical models and signal processing techniques to achieve the same attitude determination function.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If a sun sensor is used to sense sun direction, then device complexity is reduced, but measurement precision deteriorates because it cannot detect attitude changes about the sun line

Engineering Contradiction:
Improvesensor system complexityVSAvoidattitude measurement completeness
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent introduces the unscented Kalman filter as an intermediary computational layer that processes sun sensor measurements and infers complete three-axis attitude information. The filter uses Euler equations to relate sun sensor observations to spacecraft attitude, effectively mediating between the limited sun sensor data and the complete attitude state, thereby recovering the missing about-sun-line attitude information.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If gyroscope and star tracker are used to provide attitude information, then measurement precision is improved, but reliability deteriorates due to component failure

Engineering Contradiction:
Improveattitude information accuracyVSAvoidsystem reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent replaces expensive, failure-prone gyroscope and star tracker components with a simpler, more reliable sun sensor system. The sun sensor is inherently more reliable as it has no moving parts and cannot fail like mechanical gyroscopes, and the system accepts that the sun sensor alone must provide all attitude information without relying on multiple sophisticated sensors that could fail.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS9643740B2Gyroless three-axis sun acquisition using sun sensor and unscented kalman filter
Publication Date: 2017.05.09 THE BOEING CO
  • US9643740B2 patent drawing
  • US9643740B2 patent drawing
  • US9643740B2 patent drawing

AI summary

An attitude estimator that uses sun sensor outputs as the only attitude determination measurements to provide three-axis attitude information. This is accomplished by incorporating the Euler equation into the estimator. An unscented Kalman filter is employed to accommodate various nonlinear characteristics and uncertainties of the spacecraft dynamics and thus improve the robustness and accuracy of the attitude estimate.