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| Detecting Roundness Error Based on Quantum Genetic Algorithm |
| SHEN Cui-xiang1,ZHANG Xiao-yu2 |
1.Sanmenxia Health School, Sanmenxia, Henan 472143, China
2.Henan CATV Group Sanmenxia Branch, Sanmenxia, Henan 472143, China |
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Abstract In order to improve the roundness measurement accuracy, quantum genetic algorithm was proposed. Firstly, the center coordinates and the radius of the roundness image of the modeling data were established using the least square fitting. Secondly, unacceptable roundness data were rejected in the roundness calculation. Thirdly, multi-bit coding was completed using quantum genetic algorithm, and quantum revolving gate non-fixed step size adjustment and updating were implemented. Finally, the procedure for measuring the roundness error was presented. Simulation results indicated that the proposed algorithm produces accurate measurements, and when compared with the three-coordinate measuring machine, the error is within 0.0058mm, and the relative error of radius is within -0.19%, the maximum measurement errors all being within 0.01%.Further, the maximum error fluctuation is stable, and relative to other methods, the measurement uncertainty is lower.
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Received: 30 December 2016
Published: 11 February 2018
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2018, Vol. 39 
