NDLI: Design of artificial neural network controller for continually stirred tank heater

Content Provider	IEEE Xplore Digital Library
Author	Gaurav, K. Mukherjee, S.
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering Indian Institute of Technology Roorkee, India (Gaurav, K.; Mukherjee, S.)
Abstract	Process control systems use controllers with adjustable settings which control and coordinate the process operations over a wide range of operating conditions. The classical control theory is the basis for the development of simple automatic control systems using P, PI, and PID controllers. In conventional control, linear approximation of the plant properties itself has some disadvantages, like, linear approximation becomes computationally impractical, if the plant is very complex and highly dynamic and also there are difficulties in adapting itself to changing plant parameters. To overcome the limitations of the conventional and other controllers, the work has been started towards the development of artificial neural network (ANN) based intelligent controllers in the recent times. In this paper neuro-control techniques are implemented to a process system-continually stirred tank heater (CSTH). The artificial neural networks can be feasibly implemented for real-time control implementations and its performance is better than conventional control methods.
Starting Page	2228
Ending Page	2231
File Size	687733
Page Count	4
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6388677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heating MIMO Artificial neural networks Computational modeling Conventional controller Artificial neural network (ANN) Continually Stirred Tank Heater (CSTH)
Content Type	Text
Resource Type	Article

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