Research on PID Neural Network Control System of Temperature for Agricutural Film Unit

Article Preview

Abstract:

The temperature of agricultural film unit affects the plastic film directly. Since unit heating process has the characters of time delay, nonlinear, time-varying and strong coupling. It is difficult to create a mathematical model structure of plastic melting process. Thus, temperature control is very difficult. This paper presents decoupling control strategy and corresponding control algorithm based on PID (proportional-Integral-differential) neural network. Proportional, integral, differential neurons form a three-layer neural network. This design gives full play to respective advantages of PID control and neural network, and takes advantage of BP neural network to establish the dynamic model of system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

694-699

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] AHANG Qi-miao, AHANG Pei-ren, and WANG Kang-zheng, Design of Temperature Control System of Plastic Injecting Machine, J. Automation & Instrumentation, vol. 2, 2005, pp.29-31.

Google Scholar

[2] Wang S H, Xu B G, and Wang Q Y, et al, Modified Smith predictor and controller for time-delay process with uncertainty, C. Dalian, China: The 6th World Congress on Intelligent Control and Automation, vol. 1, June, 2006, pp.623-627.

DOI: 10.1109/wcica.2006.1712416

Google Scholar

[3] Jiang Tiezheng, Chen Chen, and Ai Qian, Nonlinear optimal predictive controller for main steam valve of turbine generator, J. Control Theory and Application, vol. 23(3), March, 2006, pp.358-462.

Google Scholar

[4] S. N. Huang, K. K. Tan, and T. H. Lee, Adaptive GPC control of melt temperature in injection moulding, J. ISA Transaction, vol. 38, 1999, pp.361-373.

DOI: 10.1016/s0019-0578(99)00029-4

Google Scholar

[5] CC Tsai, C. H. Lu, Multivariable Self-Tuning Temperature Control for Plastic Injection Molding Process, J. Industry Application, vol. 34(2), March/April, 1998, pp.310-318.

DOI: 10.1109/28.663473

Google Scholar

[6] C. H. Lu, CC Tsai, Adptive Decoupling Predictive Temperature Control for an Ectrusion Barrel in a Plastic Injection Molding Process, J. IEEE Transations on Industry Electronics, vol. 48(5), 2001, pp.263-268.

DOI: 10.1109/41.954561

Google Scholar