2009 International Conference on Artificial Intelligence and Computational Intelligence 2009
DOI: 10.1109/aici.2009.481
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A Minimum Zone Method for Evaluating Perpendicularity Errors of Planar Lines Based on PSO Algorithm

Abstract: According to characteristics of perpendicularity error evaluation of planar lines, Particle Swarm Optimization (PSO) is proposed to evaluate the minimum zone error. The evolutional optimum model and the calculation process are introduced in detail. Compared with conventional optimum methods such as simplex search and Powell method, it can find the global optimal solution, and the precision of calculating result is very good. Then, the objective function calculation approaches for using the Particle Swarm Optim… Show more

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Cited by 3 publications
(2 citation statements)
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“…Therefore aimed to compensate orientation error, it is necessary to improve simulation turntable accuracy cost-effectively by modeling, identifying and compensating of these error sources. Among these error sources, perpendicular errors are important factors which affect the accuracy of simulation [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore aimed to compensate orientation error, it is necessary to improve simulation turntable accuracy cost-effectively by modeling, identifying and compensating of these error sources. Among these error sources, perpendicular errors are important factors which affect the accuracy of simulation [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore aimed to compensate orientation error, it is necessary to improve simulation turntable accuracy cost-effectively by modeling, identifying and compensating of these error sources. Among these error sources, perpendicular errors are important factors which affect the accuracy of simulation [3,4].…”
Section: Introductionmentioning
confidence: 99%