Polygon Scanner Pyramidal Error Correction via Servo Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Scanning-beam display systems face challenges in maintaining precise alignment and image quality due to pyramidal errors in polygon scanners, which cause uneven line spacing and distortion in images, and existing correction methods are either expensive or require frequent adjustments for environmental changes.
Innovation Solution
Implementing a pyramidal error correction mechanism that uses servo feedback control and optical sensors to adjust the scanning beam's timing and position, combined with dithering and dynamic calibration to maintain image quality across varying environmental conditions and scanner facet orientations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a high-precision polygon scanner is used to reduce pyramidal errors, then manufacturing precision is improved, but device cost increases significantly
Solution Approach 1:
The patent implements a feedback control system that uses optical sensors to detect the actual positions of scan lines and compares them with expected positions. The detected pyramidal errors are fed back to a control unit that adjusts the timing and positioning of subsequent scan lines to compensate for the errors, thereby achieving high precision without requiring an expensive high-precision polygon scanner
Solution Approach 2:
The patent dynamically adjusts scanning parameters such as timing offsets and line positions based on detected pyramidal errors. By changing these operational parameters in real-time, the system compensates for manufacturing imperfections in the polygon scanner, achieving high image quality without requiring expensive high-precision hardware
2Stability of the object's composition
If environmental conditions remain constant, then alignment stability is improved, but adaptability to environmental changes deteriorates
Solution Approach 1:
The patent implements a dynamic correction system that continuously monitors scan line positions using optical sensors and adjusts scanning parameters in real-time. This dynamic adaptation allows the system to maintain alignment stability despite environmental changes such as temperature variations or mechanical drift, combining the benefits of both stability and adaptability
Solution Approach 2:
The system performs self-correction by automatically detecting pyramidal errors through optical sensors and adjusting its own scanning parameters without external intervention. This self-service capability enables the system to adapt to environmental changes autonomously while maintaining stable alignment
3Manufacturing precision
If pyramidal error correction is implemented, then image quality is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical correction mechanisms with an electronic/software-based correction system. Instead of using expensive high-precision polygons or mechanical adjustment mechanisms, the system uses optical sensors to detect errors and employs electronic timing adjustments and positioning corrections to compensate for pyramidal errors, thereby achieving high image quality with reduced mechanical complexity
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
The solution effectively corrects pyramidal errors, ensuring consistent image quality and alignment, reducing the need for expensive high-precision polygons and allowing for real-time adjustments to maintain performance despite environmental changes.
Implementation Method 1
a fluorescent screen which absorbs the excitation light and emits visible fluorescent light to produce images carried by the scanning beam
Implementation Method 2
an optical sensor positioned to receive a feedback optical signal generated by the fluorescent screen under illumination of the scanning beam
Data Source
AI summary
Scanning beam display systems using fluorescent screens and various servo feedback control mechanisms to control display imaging qualities, including techniques and mechanism for measuring and correcting pyramidal errors of a polygon scanner.