Temperature Control Features and Simulation Research on High and Low Gimbals

Zuo Jiang Xiao; Xiao Xue Guo; Hai Bin Zhu; Zhi Gang Xu; Zhi Yong An

doi:10.4028/www.scientific.net/AMR.989-994.3195

Paper Titles

Research on Algorithm to Improve Performance of Multi-Wheel Steering Control System
p.3177

Research on Image Vectorization Based on Dual-Thumb Pneumatic Flexible Robot Hand
p.3181

Based on ANASYS with Finite Element Analysis and Calculation of Cracked Pipeline
p.3185

Simulation Study of Magnetic Memory Signal Correlation Effect of Dual Defects by ANSYS
p.3189

Temperature Control Features and Simulation Research on High and Low Gimbals
p.3195

Prediction System Design on Noise Airworthiness Compliance
p.3199

Separating the Time Field Signal of Rotor Unbalance Vibration Based on EMD Method
p.3204

Application of Rapid Prototyping Technology in Product Design
p.3208

AHP Effectiveness Evaluation of Electronic Warfare Command and Control System under Complex Electromagnetic Environment
p.3212

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Temperature Control Features and Simulation...

Temperature Control Features and Simulation Research on High and Low Gimbals

Abstract:

In view of characteristics owned by high and low gimbals, for instance pure lag, large inertia, strongly nonlinear and so on, which was employed in low light level (LLL) weapon sight reliability detection system. The basic working principle and mathematical model of Dahlin and Smith predictive control algorithm were mainly researched. And ideal control curves were obtained by software emulation. The simulated results showed that the two algorithms each have their advantages, shortcomings and the proper situations, but as to improve the control efficiency of system, the Dahlin is superior.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3195-3198

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3195

Citation:

Cite this paper

Online since:

July 2014

Authors:

Zuo Jiang Xiao*, Xiao Xue Guo, Hai Bin Zhu, Zhi Gang Xu, Zhi Yong An

Keywords:

Dahlin Algorithm, High Gimbals, Low Gimbals, Simulink, Smith Predictive Control Algorithm, Temperature Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Zhenping Ji, Jinqi Fan. Application of Fuzzy-PID control in temperature control system[J]. Transactions of Shenyang Ligong University. 2013 (3) 40-43.

Google Scholar

[2] Mohanmmed Elnour A/ Alla. Walleed Ibrahim Mohammed Taha. PID and fuzzy logic in temperature control system[C]. ICCEEE. (2013).

DOI: 10.1109/icceee.2013.6633927

Google Scholar

[3] Jianping Sun, Ying Qu, Zhuang Shi. Fuzzy-Smith control of the time-delay system and optimization of the parameters[J]. Chinese Journal of Scientific Instrument. 2006 (4) 427-429.

Google Scholar

[4] Srismrita Basu, Realization of fuzzy logic temperature controller[J]. International Journal of Emerging Technology and Advanced Engineering. 2012 (2) 151-155.

Google Scholar

[5] Aritra De, Water temperature controller using microcontroller and correction using fuzzy logic[J]. International Journal of Emerging Technology and Advanced Engineering. 2012 (2) 310-314.

Google Scholar

[6] G. S. Nhivekar, S. S. Nirmale, R. R. Mudholker, Implementation of fuzzy logic control algorithm in embedded microcomputers for dedicated application[J]. International Journal of Engineering, Science and Technology. 2011(3) 276-283.

DOI: 10.4314/ijest.v3i4.68559

Google Scholar

[7] Jiangxia Duan. Application study on fuzzy PID controller in temperature control system with large inertia and time delay[D]. Lan Zhou: Lan Zhou University. (2013).

Google Scholar