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CNC Thermal Compensation Based on Mind Evolutionary Algorithm Optimized BP Neural Network 被引量:6
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作者 yuefang zhao Xiaohong Ren +2 位作者 Yang Hu Jin Wang Xuemei Bao 《World Journal of Engineering and Technology》 2016年第1期38-44,共7页
Thermal deformation error is one of the most important factors affecting the CNCs’ accuracy, so research is conducted on the temperature errors affecting CNCs’ machining accuracy;on the basis of analyzing the unpred... Thermal deformation error is one of the most important factors affecting the CNCs’ accuracy, so research is conducted on the temperature errors affecting CNCs’ machining accuracy;on the basis of analyzing the unpredictability and pre-maturing of the results of the genetic algorithm, as well as the slow speed of the training speed of the particle algorithm, a kind of Mind Evolutionary Algorithm optimized BP neural network featuring extremely strong global search capacity was proposed;type KVC850MA/2 five-axis CNC of Changzheng Lathe Factory was used as the research subject, and the Mind Evolutionary Algorithm optimized BP neural network algorithm was used for the establishment of the compensation model between temperature changes and the CNCs’ thermal deformation errors, as well as the realization method on hardware. The simulation results indicated that this method featured extremely high practical value. 展开更多
关键词 Thermal Errors Thermal Error Compensation Genetic Algorithm Mind Evolutionary Algorithm BP Neural Network
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