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Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes

conference contribution
posted on 2015-01-01, 00:00 authored by Anwar HosenAnwar Hosen, Syed Moshfeq Salaken, Abbas KhosraviAbbas Khosravi, Saeid Nahavandi, Douglas CreightonDouglas Creighton
This work presents a hybrid controller based on the combination of fuzzy logic control (FLC) mechanism and internal model-based control (IMC). Neural network-based inverse and forward models are developed for IMC. After designing the FLC and IMC independently, they are combined in parallel to produce a single control signal. Mean averaging mechanism is used to combine the prediction of both controllers. Finally, performance of the proposed hybrid controller is studied for a nonlinear numerical plant model (NNPM). Simulation result shows the proposed hybrid controller outperforms both FLC and IMC.

History

Event

Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)

Pagination

1 - 10

Publisher

Springer

Location

Istanbul, Turkey

Place of publication

Berlin, Germany

Start date

2015-11-09

End date

2015-11-12

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319265544

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2015, Springer

Editor/Contributor(s)

S Arik, T Huang, W Lin, Q Liu

Title of proceedings

ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings