Error Modeling For Automated Construction Equipment
- Topics:
- Construction Equipment
- Tags:
- Branding,
- Research & Development,
- Positioning,
- Modeling,
- Marketing,
- LSM,
- Construction Equipment,
- Construction,
- Business Operations,
- University Of Wisconsin
- Source:
- University of Wisconsin
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Overview: This paper introduces the statistical error modeling approach for a computer-controlled Large-Scale Manipulator (LSM). The LSM is sufficiently representative of several types of construction equipment to be able to serve as a general test bed. In the analysis, three factors which are measurable in real time: distance, hydraulic pressure, and payload, were varied to determine their influence on position errors in the LSM. It was shown that with an integrated multi-variable regression model, about 30% of the mean positioning error of the LSM can be reduced without the mid of fixed external reference systems.
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Format: PDF | Size: 338KB | Date: Feb 2003 | Pages: 8
