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Intelligent control of a pH process
Mészáros, Alois, Čirka, Ľuboš and Šperka, Ľubomír Intelligent control of a pH process Chemical Papers, Vol.63, No. 2, 2009, 180-187
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Document type:
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Článok z časopisu / Journal Article |
Collection:
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Chemical papers
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Author(s) |
Mészáros, Alois Čirka, Ľuboš Šperka, Ľubomír
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Title |
Intelligent control of a pH process
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Journal name |
Chemical Papers
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Publication date |
2009
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Year available |
2009
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Volume number |
63
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Issue number |
2
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ISSN |
0366-6352
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Start page |
180
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End page |
187
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Place of publication |
Poland
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Publisher |
Versita
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Collection year |
2009
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Language |
english
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Subject |
290000 Engineering and Technology 290600 Chemical Engineering 290602 Process Control and Simulation
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Abstract/Summary |
A new strategy, to augment the pH process control is offered in this paper. The intelligent controller proposed herein is based on an inverse neural plant model. An integration term is introduced to improve the pure inverse neural controller performance. This element, adjusted by a fuzzy system with respect to the control error, operates in parallel with the neural controller to ensure offset-free performance, in case of system uncertainties or modelling mismatch. Four fuzzy rules were applied to generate the integrator parameters. Experimental results, carried out under pH control on a laboratory scale set-up, demonstrate the feasibility of the proposed control system.
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