基于分群粒子群算法的平面度误差评定研究

doi:10.3969/j.issn.1000-1158.2019.06.07

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Abstract Flatness error is determined based on grouped particle swarm optimization(GPSO).Firstly,mathematic model of flatness error evaluation was established, and flatness error minimum was transmuted into nonlinear optimization problem of objective function.Secondly, GPSO was divided one PSO into two, which wasn't increased particle number and dimension, and one searched global, the other searched local, threshold was prevented premature.Finally, the process was given.The simulation results show that GPSO has a strong ability of optimization, and the optimal solution value of the test function is relatively small, the tolerance value of flatness is 0.0073mm, the average tolerances of GPSO are reduced 0.0023mm,0.0025mm,0.0027mm,0.0002mm and 0.0005mm comparing with LSM, DM, TPM, PSO and ABC,and the precision is higher than others algorithms.

Key words： metrology flatness error evaluation particle swarm optimization threshold

Received: 30 January 2019 Published: 10 October 2019

PACS:	TB92
	TP391

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	BI Li-heng
	ZHU Yan-qi

Cite this article:

BI Li-heng,ZHU Yan-qi. Flatness Error Evaluation Based on Grouped Particle Swarm Optimization Algorithm[J]. Acta Metrologica Sinica, 2019, 40(6): 980-985.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.06.07 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I6/980

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