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Frontiers of Mechanical Engineering

ISSN 2095-0233

ISSN 2095-0241(Online)

CN 11-5984/TH

Postal Subscription Code 80-975

2018 Impact Factor: 0.989

Front Mech Eng    0, Vol. Issue () : 118-126    https://doi.org/10.1007/s11465-013-0253-y
RESEARCH ARTICLE
Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter
Jie OUYANG(), Bin LI, Shihua GONG
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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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.

Keywords LED chip sorter      multi-domain modeling and simulation      parameter optimization      modelica language     
Corresponding Author(s): OUYANG Jie,Email:jiejieouyang@sina.com   
Issue Date: 05 June 2013
 Cite this article:   
Jie OUYANG,Bin LI,Shihua GONG. Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter[J]. Front Mech Eng, 0, (): 118-126.
 URL:  
https://academic.hep.com.cn/fme/EN/10.1007/s11465-013-0253-y
https://academic.hep.com.cn/fme/EN/Y0/V/I/118
Fig.1  Chip transfer diagram
Fig.2  (a) Local three-dimensional model of LED chip sorter; (b) the real objects of transfer mechanism.
Fig.3  Equivalent block diagram of transfer system
Fig.4  The analytical model of PMSM
Fig.5  Model of PMSM
Fig.6  Model of inverter
Fig.7  Current control model
Fig.8  Model of mechanical module
Fig.9  Model of transfer system
Parameter nameParameter sign
Position loop gainKp
Speed loop gainKv
Speed feedforward gainKvf
Tab.1  Key parameters
Fig.10  Chip sorting timing
Fig.11  Response curve
Fig.12  Contour map at = 0.1
Fig.13  Contour map at = 0.3
Fig.14  Contour map at = 0.5
ItemValue
Rated torque of motor8.59 N·M
Inertia of load and rotor19.6 kg·cm2
Command type90° Ramp
ACC and DEC time40 ms
Tab.2  Starting conditions
Fig.15  Simulation curves
Fig.16  Practical curves
SimulationPractical
Setting time(Ts)63 ms65 ms
Overshooting(Mp)0.017%(8?)0.015%(7?)
Tab.3  Technical parameters contrasting
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
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