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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue (10): 4-    DOI: 10.1631/jzus.2005.A1026
    
Parameter estimation of cutting tool temperature nonlinear model using PSO algorithm
LIU Yi-jian, ZHANG Jian-ming, WANG Shu-qing
Institute of Detection and Control Technology & Automatic Device, Nanjing Normal University, Nanjing 210042, China; National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou 310027, China
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Abstract  In cutting tool temperature experiment, a large number of related data could be available. In order to define the relationship among the experiment data, the nonlinear regressive curve of cutting tool temperature must be constructed based on the data. This paper proposes the Particle Swarm Optimization (PSO) algorithm for estimating the parameters such a curve. The PSO algorithm is an evolutional method based on a very simple concept. Comparison of PSO results with those of GA and LS methods showed that the PSO algorithm is more effective for estimating the parameters of the above curve.

Key words： Particle Swarm Optimization (PSO)      Cutting tool      Parameter estimation      Temperature nonlinear model     
Received: 22 June 2004     
CLC:  TP18  
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LIU Yi-jian
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WANG Shu-qing
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LIU Yi-jian, ZHANG Jian-ming, WANG Shu-qing. Parameter estimation of cutting tool temperature nonlinear model using PSO algorithm. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6(10): 4-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A1026     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I10/4

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