Research on the Application of Wavelet Neural Network in Temperature Control System

Gu Yong

doi:10.4028/www.scientific.net/AMR.998-999.642

Paper Titles

Microcontroller-Based Intelligent Traffic Signal Controller Design
p.621

Millimeter-Wave Reduced-Size Wilkinson Power Divider
p.626

Multi-Target Tracking Based on Regional Correlation and Color Histogram Match
p.631

Nonlinear Position Control of Digital Hydraulic Cylinder Despite Disturbance
p.638

Research on the Application of Wavelet Neural Network in Temperature Control System
p.642

Research on Virtual and Actual Complex Firing Test Method for Anti-Aircraft Weapon System
p.646

Secondary Cooling Control of Continuous Casting Process with Model Strategy
p.650

Software System for the Multi-Field-Coupled and Multidisciplinary Optimization of Electronic Equipments
p.654

Study on Digital Modeling of the Virtual Near-Earth Space for Astronaut Training
p.659

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Research on the Application of Wavelet Neural...

Research on the Application of Wavelet Neural Network in Temperature Control System

Abstract:

A rapid learning algorithm was put forward to realize complex system modeling and self-adaptive control with uncertainty, high nonlinear and lame time-delay. Merits of internal model control were combined, such as simple design, food regulation capacity, high robustness and the ability to eliminate the unknown disturbance to construct a internal model control system based on wavelets neural network, which was characterized by high robustness and quick response speed and then it can brim food control performance when controlled objects vary in a wide range. Finally, it was triumphantly used in simulation of the superheated steam temperature reduction control system of 500 MW unit and food performances are obtained.

You might also be interested in these eBooks

Advances in Applied Sciences, Engineering and Technology II

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

642-645

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.642

Citation:

Cite this paper

Online since:

July 2014

Authors:

Gu Yong

Keywords:

Application of Wavelet Neural Network, Internal Model Control, Key Technology, Temperature Control System

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Liu Slian, Wu Tiejun. Direct adaptive control of unknown nonlinear systems using wavelet approximation. Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, KIPS. Piscataway: IEEE, 1998, 1: 722-725.

DOI: 10.1109/icips.1997.672882

Google Scholar

[2] Zhang Qinghua. Using wavelet network in nonparametric estimation. IEEE Trans on Neural Networks, 2002, 8(2): 227-236.

DOI: 10.1109/72.557660

Google Scholar

[3] Martin Michael B, Bell Amy E. New image compression techniques using multi-wavelets and multi-wavelet packets. IEEE Transactions on Signal Processing, 2001, 10(4): 500510.

Google Scholar

[4] Egger O, Li W, Kunt M. High compression image coding using an adaptive morphological sub-band decomposition . Proc 1EEE, 1995, 83: 272-287.

DOI: 10.1109/5.364462

Google Scholar

[5] Xiaoliang Wan, Yong Fang, Yan Peng. Java Smart Card Secure Runtime Environment Design. Network Security Technology and Application, No. 2, (2009).

Google Scholar