Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

5. Intelligent Decoupling Control of Gas Collection and Mixing-and-Pressurization Processes

verfasst von : Min Wu, Weihua Cao, Xin Chen, Jinhua She

Erschienen in: Intelligent Optimization and Control of Complex Metallurgical Processes

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Coke is an important raw material in the metallurgy industry [1]. In the coking process, large amount of by-product gas will be generated from coke-ovens [2], and the process of recycling by-product gas is called gas collecting process. Gas collection involves using gas collectors to collect the gas produced by coke-ovens and sending it where it will be used. Generally, several coke-ovens are in operation at the same time. After the purification of the coal gas, the gas mixing-and-pressurization process of clean coal gas together with clean coal gas is a very important step in the production of steel and nonferrous metals.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Intelligent Control of Thermal State Parameters in Sintering Process
Nächstes Kapitel Intelligent Optimization and Control for Reheating Furnaces
Literatur
1.
Sadaki J, Tanaka K, Naganuma Y (1993) Automatic coking control system. In: Proceedings of IEEE Conference on Control Applications, pp 531–538
2.
Loison R, Foch P, Boyer A (1989) Coke: Quality and Production. Butterworths, London
3.
Jenkins DR (2001) Plastic layer permeability estimation using a model of gas pressure in a coke oven. Fuel 80(14):2057–2065CrossRef
4.
Gray RJ (1990) Coke Oven Wall Pressures: Measurement, Cause and Effect. Iron and Steel Society Inc, Pittsburgh
5.
Wu M, Yan J, She JH, Cao WH (2009) Intelligent decoupling control of gas collection process of multiple asymmetric coke ovens. IEEE Trans Ind Electron 56(7):2782–2792CrossRef
6.
Gamrat S, Poraj J, Bodys J, Smolka J, Adamczyk W (2016) Influence of external flue gas recirculation on gas combustion in a coke oven heating system. Fuel Process Technol 152:430–437CrossRef
7.
Weng Y, Gao X (2017) Data-driven robust output tracking control for gas collector pressure system of coke ovens. IEEE Trans Ind Electron 64(5):4187–4198CrossRef
8.
Coking Experts Group (1978) Coking technologies. Metallurgical Industry Press, Beijing (In Chinese)
9.
Wu M, Cao WH, He CY, She JH (2009) Integrated intelligent control of gas mixing-and-pressurization process. IEEE Trans Control Syst Technol 17(1):68–77CrossRef
10.
Yuan C, Cao WH, Yuan Y, Wu M, Zhang Y (2014) Integrated modeling for gas mixing process based on mechanism and subspace identification. In: The 26th Chinese control and decision conference, pp 1912–1917
11.
Li Z (1998) Discussion on methods of stabilizing caloric value of mixed gas used for a heating furnace. Metall Power 2:14–17 (In Chinese)
12.
Niemueller T, Zug S, Schneider S, Karras U (2016) Knowledge-based instrumentation and control for competitive industry-inspired robotic domains. K\(\ddot{\rm u}\)nstliche Intelligenz 30(3–4):1–11CrossRef
13.
14.
Zuhrie MS, Munoto, Hariadi E, Muslim S (2018) The design of artificial intelligence robot based on fuzzy logic controller algorithm. IOP Conf Ser: Mater Sci Eng 336(1):012020-1–012020-9CrossRef
15.
Xie S, Xie Y, Yang C, Gui W, Wang Y (2018) Distributed parameter modeling and optimal control of the oxidation rate in the iron removal process. J Process Control 61:47–57CrossRef
16.
Cai ZX (1997) Intelligent control: principles, techniques and applications. World Scientific Publishing Co., Ltd., Singapore
17.
18.
Wang H, Sheng C, Lu X (2017) Knowledge-based control and optimization of blast furnace gas system in steel industry. IEEE Access 5(99):25034–25045CrossRef
19.
Albusac J, Vallejo D, Castro-Schez JJ, Gzlez-Morcillo C (2018) An expert fuzzy system for improving safety on pedestrian crossings by means of visual feedback. Control Eng Pract 75:38–54CrossRef
20.
Hou LL, Yang HP, Zhao YJ (1995) Microcomputer control system design for coke oven gas collecting pressure process. Coal Convers 18(2):91–95 (In Chinese)
21.
Yang CH, Wu M, Shen DY, Deconinck G (2001) Hybrid intelligent control of gas collectors of coke ovens. Control Eng Pract 9(7):725–733CrossRef
22.
Mahmoud MS (2018) Fuzzy control, estimation and diagnosis. Springer, New York
23.
Su X, Xia F, Liu J, Wu L (2018) Event-triggered fuzzy control of nonlinear systems with its application to inverted pendulum systems. Automatica 94:236–248MathSciNetMATHCrossRef
24.
Precup RE, David RC, Petriu EM (2016) Grey wolf optimizer algorithm-based tuning of fuzzy control systems with reduced parametric sensitivity. IEEE Trans Ind Electron 64(1):527–534CrossRef
25.
26.
Yuvapriya T, Lakshmi P (2017) Design of fuzzy logic controller for reduction of vibration in full car model using active suspension system. Asian J Res Soc Sci Hum 7(3):302–313
27.
Osorio R, Alonso JM, Vazquez N, Pinto SE, Sorcia-Vazquez FDJ, Martnez M, Barrera LM (2018) Fuzzy logic control with an improved algorithm for integrated led drivers. IEEE Trans Ind Electron 65(9):6994–7003CrossRef
28.
Hu X, Xu B, Hu C (2018) Robust adaptive fuzzy control for HFV with parameter uncertainty and unmodelled dynamics. IEEE Trans Ind Electron 65(11):8851–8860CrossRef
29.
Feng G, Lai C, Kar N (2016) A closed-loop fuzzy logic based current controller for PMSM torque ripple minimization using the magnitude of speed harmonic as the feedback control signal. IEEE Trans Ind Electron 64(4):2642–2653CrossRef
30.
Eker İ, Torun Y (2006) Fuzzy logic control to be conventional method. Energy Convers Manag 47(4):377–394CrossRef
31.
Li CH, Liu CS, Li HJ, Zheng ZM (1997) Development and application of a pressure self-optimizing fuzzy control system for gas collector of coke oven. Metall Ind Autom 5:32–34 (In Chinese)
32.
Zhou B, Li WY (2003) Application of fuzzy theory on gas collector control. In: International conference on machine learning and cybernetics, pp 2516–2519
33.
Fang KL, Zhou HJ, Huang WH (2003) Fuzzy decoupling adjustment for the pressure of coke oven collecting main. In: International conference on machine learning and cybernetics, pp 2605–2608
34.
Li H, Yang S, Ren H (2016) Dynamic decoupling control of DGCMG gimbal system via state feedback linearization. Mechatronics 36:127–135CrossRef
35.
Fang J, Yin R, Lei X (2015) An adaptive decoupling control for three-axis gyro stabilized platform based on neural networks. Mechatronics 27:38–46CrossRef
36.
Wang Y, Chai T, Fu J, Sun J, Wang H (2013) Adaptive decoupling switching control of the forced-circulation evaporation system using neural networks. IEEE Trans Control Syst Technol 21(3):964–974CrossRef
37.
Zhu HL, Meng Z, Lu W, Zhu ZN, Zhang D (2015) Control system design for lattice distortion modification test equipment based on fuzzy compensated decoupling. Appl Mech Mater 709:308–311CrossRef
38.
Gao SZ, Yang J, Wang JS (2014) D-FNN based modeling and BP neural network decoupling control of PVC stripping process. Math Probl Eng 835–892
39.
Wang C, Zhao W, Luan Z, Gao Q, Deng K (2018) Decoupling control of vehicle chassis system based on neural network inverse system. Mech Syst Signal Process 106:176–197CrossRef
40.
Sun W, Yang DP, Yue D, Cheng YH (2000) Intelligent control for pressure system of gas collecting pipe of coke oven. J China Univ Min Technol 29(5):503–505 (In Chinese)
41.
Qin B, Wang X, Wu M (2005) Application of multi-agent system to coke ovens. Iron Steel 40(10):25–28 (In Chinese)
42.
Liu XQ, Hao R, Tan DJ, Sun W (2000) Application of compensated decoupling arithmetic in discharge header pressure control system. J China Univ Min Technol 29(2):2115–218 (In Chinese)
43.
Cao WH, Wu M, Hou SY (2006) Implementation of intelligent decoupling control method for gas mixing and pressurization. J Central South Univ 37(4):780–785 (In Chinese)
44.
Lin B (2003) The computer control on gas calorific value. Control Instrum Chem Ind 30(1):75–77 (In Chinese)
45.
Qin L (2002) Control for mixed gas calorific value with decoupling and Smith compensator. Control Eng China 9(4):73–75 (In Chinese)
46.
Ren HL, Li SY (2004) Fuzzy decoupling control of pressure and heating power for mixed gas. Process Autom Instrum 25(3):65–67 (In Chinese)
47.
Jing YH, Fang CZ (1993) Process control. Tsinghua University Press, Beijing (In Chinese)
48.
Bristol EH (1966) On a new measure of interaction for multivariable process control. IEEE Trans Autom Control 11(1):133–134CrossRef
49.
Mizuochi M, Tsuji T, Ohnishi K (2007) Multirate sampling method for acceleration control system. IEEE Trans Ind Electron 54(3):1462–1471CrossRef
50.
Li CT (2003) Review for commissioning of gas mixing and pressuring station. Metall Power 18(6):31–32 (In Chinese)
51.
Bartos FJ (1996) Fuzzy logic reaches adulthood. Control Eng 43(10):50–56
52.
Lee SJ, Kwon YA (2007) Study on fuzzy reasoning application for sensory evaluation of sausages. Food Control 18(7):811–816CrossRef
53.
Meng JE, Mandal S (2016) A survey of adaptive fuzzy controllers: nonlinearities and classifications. IEEE Trans Fuzzy Syst 24(5):1095–1107CrossRef
54.
Wiktorowicz K (2017) Design of state feedback adaptive fuzzy controllers for second-order systems using a frequency stability criterion. IEEE Trans Fuzzy Syst 25(3):499–510CrossRef
55.
Wu HC (2007) Using fuzzy sets theory and Black-Scholes formula to generate pricing boundaries of European options. Appl Math Comput 185(1):136–146MathSciNetMATH
56.
Sha TJ (2003) The capability and application of control valves group. China Instrum 20(1):16–19 (In Chinese)
57.
Hu Y, Liu G (2016) Intelligent decoupling of gas collector pressure based on internal model control. In: Chinese control and decision conference, pp 4302–4305
58.
Wang JS, Xie C (2006) Redial basis function neural network-based robotic joint intelligent decoupling control. In: Wavelet active media technology and information processing, pp 86–91
59.
Fu Y, Chai T (2009) Intelligent decoupling control of nonlinear multivariable systems and its application to a wind tunnel system. IEEE Trans Control Syst Technol 17(6):1376–1384
60.
Jantzen J (2007) Foundations of fuzzy control. Wiley, Chichester
Metadaten
Titel
Intelligent Decoupling Control of Gas Collection and Mixing-and-Pressurization Processes
verfasst von
Min Wu
Weihua Cao
Xin Chen
Jinhua She
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Intelligent Optimization and Control of Complex Metallurgical Processes

Print ISBN: 978-981-15-1144-8

Electronic ISBN: 978-981-15-1145-5

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-1145-5_5