Modeling and Simulation of Mechatronic Technology Based on Intelligent Network Control

Article Preview

Abstract:

This paper designs a new mechatronic modeling and simulation platform, which uses Solidworks to establish the mechanical model, and uses LabVIEW intelligent network library function to realize mechatronic control. Combining with VC software it realizes the simulation results visualized output, which realizes the co-simulation design of SolidWorks, LabVIEW and VC software. With the help of this system, engineers can establish mechanical model by computer software, and use interdisciplinary field theory to analyze the product key performance indicators in the virtual operating environment, further visual processing, and according to the simulation data to improve and optimize the system. It provides a new method for computer research and development of mechatronic products.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1599-1603

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y.J. Han. Study on control system of linear inverted pendulum based on linear two optimal LQR. Electric drive automation, 2012, 34(3): 22-25.

Google Scholar

[2] L. Zhong. The development trend of mechanotronic technology. Chinese science, 2011, 2(13): 74-75.

Google Scholar

[3] L.Y. Ye, Lu Fang. Application of mechanotronic technology. New technology and new products, 2011, 3(16): 127-129.

Google Scholar

[4] H.X. Chen, X. Liu. Application of the virtual prototype technology in the design of CNC machine tool. Mechanical manufacturing and automation. 2011, 2(3): 121-122.

Google Scholar

[5] K. Liu. Design and LQR optimal control simulation of inverted pendulum. Industrial instrumentation & automation system, 2012, 2(3): 10-13.

Google Scholar

[6] S. Li. Variable frequency speed regulation system based on PLC and WINCC. China University of Mining and Technology, 2012, 3(6): 34-36.

Google Scholar

[7] P. Guo, Y.Y. Chen. PLC using the USS protocol and transducer communication. The computer and information technology, 2011, 2(12): 89-91.

Google Scholar

[8] G.C. Yang, D. Zhang. The PLC control on the transducer based on USS protocol realization. Automation technology and application, 2012, 6(5): 102-104.

Google Scholar

[9] S.Q. Chen, R.C. Xiao, J.X. Xiao. Research on signal processing of power smart sensor. Sensor and micro system, 2011, 2(11): 31-34.

Google Scholar

[10] S.W. Chen, M.D. Li. An improved genetic algorithm and its simulation. Computer applications and software, 2012, 27(9): 100-102.

Google Scholar

[11] Y.J. Ma, Qin Goodwin. Research on soft PLC and configuration software interface based on PC. Industrial control computer, 2013, 22(3): 1-2.

Google Scholar

[12] Q. You, Z.Y. Shi, S.X. Luo. Moving load identification based on wavelet finite element method. Journal of vibration engineering, 2011, 23(2): 188-193.

Google Scholar

[13] J. Zhuang, Q.Y. Yang, H.F. Du, D.H. Yu. A highly complex genetic algorithm. Journal of software, 2012, 21(11): 2790-2801.

Google Scholar