Paper
31 January 2013 Pressure intelligent control strategy of Waste heat recovery system of converter vapors
Xugang Feng, Zhiwei Wu, Jiayan Zhang, Hong Qian
Author Affiliations +
Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 875933 (2013) https://doi.org/10.1117/12.2016814
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
The converter gas evaporative cooling system is mainly used for absorbing heat in the high temperature exhaust gas which produced by the oxygen blowing reaction. Vaporization cooling steam pressure control system of converter is a nonlinear, time-varying, lagging behind, close coupling of multivariable control object. This article based on the analysis of converter operation characteristics of evaporation cooling system, of vaporization in a production run of pipe pressure variation and disturbance factors.For the dynamic characteristics of the controlled objects,we have improved the conventional PID control scheme.In Oxygen blowing process, we make intelligent control by using fuzzy-PID cascade control method and adjusting the Lance,that it can realize the optimization of the boiler steam pressure control.By design simulation, results show that the design has a good control not only ensures drum steam pressure in the context of security, enabling efficient conversion of waste heat.And the converter of 1800 flue gas through pipes and cool and dust removal also can be cooled to about 800. Therefore the converter haze evaporative cooling system has achieved to the converter haze temperature decrease effect and enhanced to the coal gas returns-ratio.
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Xugang Feng, Zhiwei Wu, Jiayan Zhang, and Hong Qian "Pressure intelligent control strategy of Waste heat recovery system of converter vapors", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 875933 (31 January 2013); https://doi.org/10.1117/12.2016814
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KEYWORDS
Phase modulation

Picosecond phenomena

Control systems

Cooling systems

Oxygen

Fuzzy logic

Control systems design

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