Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Abstract

To enhance the performance of high speed transfer system of LED chip sorting equipment, its control parameters need to be well matching with the mechanical system. In practical issues, it is difficult and time-consuming work to get these parameters matched because their selection is strongly depended on individuals. In current work, an integrated optimization method was carried out to solve this problem, in which the multiple control parameters optimization, modeling and simulation were included, i.e., a multi-domain model of transfer system performed on Dymola platform. Based on this model, the searching area of the key control parameters was narrowed by performing integrated optimization. After that a group of parameters were selected from this narrowed area to perform the equipment’s controls. The result showed this method possesses a simple and reliable nature. The optimal solutions also indicated that the optimized control parameters can well satisfy the requirements of transfer system. On the other hand, it greatly reduced the engineering adjustment time by using this method.

Key words： LED chip sorter; multi-domain modeling and simulation; parameter optimization; modelica language

Acknowledgements

This article was supported by the projects as follows: (1)The special development guide projects for high and new technology industrial development zone in Guangdong Province,2011 (Project Name: Automatic LED chip detection and sorting equipment development and industrialization; Project ID: 2011B010700081); (2)The key breakthrough projects in major field for Guangdong-Hong Kong area ,2012 (Project Name: The LED chip automatic detection and sorting key technology and equipment development and Industrialization (special project for dongguang)); Project ID:2012205102).

References

1 Wu T, Li B, Wang L W, Huang Y. Study on Path-Optimization by Grade for Sorting Dies. Proc.of ICMA, 2010: 876–880

2 Chen Z X. High-speed LED chip sorting arm vibration suppression research. Master Thesis of Huazhong University of Science and Technology, 2012: 19–27

3 Wen J X. A mechanical arm for picking LED chip: China, 200910190126.9, 2011, http://cpquery.sipo.gov.cn

4 Hong J. A method of the PID control parameter setting by expanding response curve. 2011 International Conference on Intelligent Computation Technology and Automation, 2011: 318–320

5 Zhao B Y. Research of numerical control system PID parameter regulation based on PMAC. Machinery Design & Manufacture, 2007: 146–147

6 Shanghai Bitpass Automatic Company. Panasonic User Manual (Ver5.0). 2010: 4–12 to 4–23

7 Fritzson P, Engelson V. Modelica—a unified object-oriented language for system modeling and simulation. ECOOP’98-Object-Oriented Progranming. 12th European Conference. Proceedings, 1998: 67–90

8 Dynasim A B. Dymola User Manual Volume 1 (Version 5.0), 2008: 11–15

9 Fritzson P. Principle of object-oriented modeling and simulation with Modelica 2. IEEE Press, 2004: 221–224

10 Wu Y Z, Chen L P. Modeling and Simulation Methods for Multi-domain Physical System. Beijing: Science Press, 2011: 2–8

11 Sikorski A. Ruszczyk A. Evaluation of the proprieties of the inverter (FOC, DTC, DTC-SVM) fed AC motor. Maszyny Elektryczne, 2006, 25: 30

12 Wang Z G, Jin J X, Guo Y G, Zhan Y D, Zhu J G. Modeling and simulation of PMSM control system based on SVPWM. 2008 Chinese Control Control Conference, 2008: 724–728

13 Kuang X. Multi-domain modeling research for high speed feed system of machine center. Master thesis of Huazhong University of Science and Technology. 2012: 34–40

14 Sato R. Tsutsumi M. Modeling, and controller tuning techniques for feed drive systems. 2005 ASME International Mechanical Engineering Congress and Exposition, Orlando, Florida, USA, 2005: 198–210

15 Ang K H, Chong G. PID control system analysis, design, and technology. IEEE Transactions on Control Systems Technology, 2005, (13): 559–575

16 Wang H, Yu H, Xu D G. The position servo system of PMSM. Proceedings of the CSEE, 2004(24): 150–155