The Open Automation and Control Systems Journal

2014, 6 : 277-282
Published online 2014 December 19. DOI: 10.2174/1874444301406010277
Publisher ID: TOAUTOCJ-6-277

Parabola Error Evaluation Based on Geometry Optimizing Approximation Algorithm

Lei Xianqing , Gao Zuobin , Wang Haiyang and Cui Jingwei
Henan University of Science and Technology, Luoyang, 471003, China.

ABSTRACT

A more accurate evaluation for parabola errors based on Geometry Optimizing Approximation Algorithm (GOAA) is presented in this paper. Firstly, according to the least squares method, two parabola characteristic points are determined as reference points to form a series of auxiliary points according to a certain geometry shape, and then, assumption ideal auxiliary parabolas are reversed by the parabola geometric characteristic. The range distance of all given points to the assumption ideal parabolas are calculated by the auxiliary parabolas as supposed ideal parabolas, and the reference points, the auxiliary points, reference parabola and auxiliary parabolas are reconstructed by comparing the range distances, the evaluation for parabola error is finally obtained after repeating this entire process. On the basis of 0.1 mm of a group of simulative metrical data, compared with the least square method, while the criteria of stop searching is 0.00001 mm, the parabola error value from this algorithm can be reduced by 77 μm. The result shows this algorithm realizes the evaluation of parabola with minimum zone, accurately and stably.

Keywords:

Error evaluation, geometry approximation, minimum zone, parabola error.