






Vol.3 , No. 1, Publication Date: Jan. 12, 2016, Page: 1-11
[1] | Yi-Lung Hsu, Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan. |
[2] | Ming-Shyan Huang, Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan. |
[3] | Rong-Fong Fung, Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan. |
The purpose of this study was to find two-stage identification for a motor-toggle mechanism. The effects of clamping forces on a motor-toggle mechanism are dynamically modeled in this study. The clamping unit used was a simple spring-damper model. Based on a real application, an impulse model associated with clamping effectiveness had to be considered for the process of clamping. A two-stage identification method also had to be developed to validate the dynamic responses of the unclamping and clamping motions. The two-stage identification for the system parameters was carried out through a real-coded genetic algorithm (RGA) with two different fitness functions. The purpose was to improve the accuracy of parameter identification and identify the amount of saved time, both of which were obtained by the results of numerical simulations and experimentation.
Keywords
Clamping Unit, Real-Coded Genetic Algorithm, Motor-Toggle Mechanism Two-Stage Identification
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