Acta Metrologica Sinica  2019, Vol. 40 Issue (6): 980-985    DOI: 10.3969/j.issn.1000-1158.2019.06.07
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Flatness Error Evaluation Based on Grouped Particle Swarm Optimization Algorithm
BI Li-heng1,ZHU Yan-qi2
1. Yellow River Conservancy Technical Institute, Kaifeng, Henan 453002, China
2. Kai Feng Institute of Technicians, Kaifeng, Henan 453002, China
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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 wordsmetrology      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
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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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