Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation

For the control of the liquid level of liquid ammonia in thermal power plant’s ammonia vaporization room, traditional PID controller parameter tuning is difficult to adapt to complex control systems, the setting of the traditional PID controller parameters is difficult to adapt to the complex contro...

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Main Authors: Li Jing, Zhang Guo Qing, Cheng Huan Xin, Cheng Li
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20164402063
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spelling doaj-0753da2092374039afcfe0e9821f55b72021-02-02T00:27:20ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01440206310.1051/matecconf/20164402063matecconf_iceice2016_02063Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporationLi Jing0Zhang Guo Qing1Cheng Huan XinCheng LiCollege of Automation and Electrical Engineering. Qingdao University of Science and Technology.College of Automation and Electrical Engineering. Qingdao University of Science and Technology.For the control of the liquid level of liquid ammonia in thermal power plant’s ammonia vaporization room, traditional PID controller parameter tuning is difficult to adapt to complex control systems, the setting of the traditional PID controller parameters is difficult to adapt to the complex control system. For the disadvantage of bad parameter setting, poor performance and so on the fuzzy adaptive PID control is proposed. Fuzzy adaptive PID control combines the advantages of traditional PID technology and fuzzy control. By using the fuzzy controller to intelligent control the object, the performance of the PID controller is further improved, and the control precision of the system is improved[1]. The simulation results show that the fuzzy adaptive PID controller not only has the advantages of high accuracy of PID controller, but also has the characteristics of fast and strong adaptability of fuzzy controller. It realizes the optimization of PID parameters which are in the optimal state, and the maximum increase production efficiency, so that are more suitable for nonlinear dynamic system.http://dx.doi.org/10.1051/matecconf/20164402063
collection DOAJ
language English
format Article
sources DOAJ
author Li Jing
Zhang Guo Qing
Cheng Huan Xin
Cheng Li
spellingShingle Li Jing
Zhang Guo Qing
Cheng Huan Xin
Cheng Li
Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation
MATEC Web of Conferences
author_facet Li Jing
Zhang Guo Qing
Cheng Huan Xin
Cheng Li
author_sort Li Jing
title Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation
title_short Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation
title_full Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation
title_fullStr Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation
title_full_unstemmed Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation
title_sort applications of fuzzy adaptive pid control in the thermal power plant denitration liquid ammonia evaporation
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description For the control of the liquid level of liquid ammonia in thermal power plant’s ammonia vaporization room, traditional PID controller parameter tuning is difficult to adapt to complex control systems, the setting of the traditional PID controller parameters is difficult to adapt to the complex control system. For the disadvantage of bad parameter setting, poor performance and so on the fuzzy adaptive PID control is proposed. Fuzzy adaptive PID control combines the advantages of traditional PID technology and fuzzy control. By using the fuzzy controller to intelligent control the object, the performance of the PID controller is further improved, and the control precision of the system is improved[1]. The simulation results show that the fuzzy adaptive PID controller not only has the advantages of high accuracy of PID controller, but also has the characteristics of fast and strong adaptability of fuzzy controller. It realizes the optimization of PID parameters which are in the optimal state, and the maximum increase production efficiency, so that are more suitable for nonlinear dynamic system.
url http://dx.doi.org/10.1051/matecconf/20164402063
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AT zhangguoqing applicationsoffuzzyadaptivepidcontrolinthethermalpowerplantdenitrationliquidammoniaevaporation
AT chenghuanxin applicationsoffuzzyadaptivepidcontrolinthethermalpowerplantdenitrationliquidammoniaevaporation
AT chengli applicationsoffuzzyadaptivepidcontrolinthethermalpowerplantdenitrationliquidammoniaevaporation
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