Adaptive Real-Time Tracking Control System for Ammonia Desulphurization

Authors

Lixin Ma, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Mengyuan Lü, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;

Abstract

Abstract: In the ammonia desulphurization system, we can use forecast devices to compensate the delay time of sensor in the process of detection. But the error of the parameters in the mathematical model of the method has a great influence on the performance of the control system. So it is unable to realize the real-time tracking of the load. Concerning this problem, we put forward a kind of real-time tracking control system based on model reference adaptive technology which could be able to track the load—model reference adaptive technology is used in the ammonia desulphurization technology. It breaks the normal mode which uses the step as the input to evaluate the effect of the algorithm and the simulated calculations are conducted in the real-time process control model. The simulation result of the data shows that this system could follow the load and react to it quickly. What’s more, the error tends towards stability rapidly. The preferable performance of the adaptive real-time tracking control system in the system error, real-time tracking and robustness makes it has a better prospect in the engineering application.

Recommended Citation

Ma, Lixin and Lü, Mengyuan (2019) "Adaptive Real-Time Tracking Control System for Ammonia Desulphurization," Journal of System Simulation: Vol. 30: Iss. 5, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201805028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss5/28

First Page

1838

Revised Date

2016-09-05

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201805028

Last Page

1843

CLC

TP391.9

Recommended Citation

Ma Lixin, Lü Mengyuan. Adaptive Real-Time Tracking Control System for Ammonia Desulphurization[J]. Journal of System Simulation, 2018, 30(5): 1838-1843.

DOI

10.16182/j.issn1004731x.joss.201805028