Abstract
In this paper, a new compensation method of thermal error is proposed based on Floyd algorithm and homogeneous transformation matrices (HTMs). With the topological structure and measured data, the thermal error modelling is established. Then, according to the improved Floyd minimum-distance method and ant colony algorithm-based back propagation neural network (ACO-BPN), the error compensation models were established respectively. A comparison between the Floyd algorithm compensation method and a typical method ACO-BPN is performed, and the results shows that the Floyd algorithm has advantages of higher compensation accuracy, more effective and shorter time than ACO-BPN. Under variable temperatures conditions, the Floyd compensation method also has higher compensation accuracy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Engineering and Technology Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
