Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes
Contribuinte(s) |
Arik, Sabri Huang, Tingwen Lin, Weng Kin Liu, Qingshan |
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Data(s) |
01/01/2015
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
http://dro.deakin.edu.au/eserv/DU:30082481/hosen-hybridcontroller-2015.pdf http://dro.deakin.edu.au/eserv/DU:30082481/hosen-hybridcontroller-evid1-2015.pdf http://dro.deakin.edu.au/eserv/DU:30082481/hosen-hybridcontroller-evid2-2015.pdf http://www.dx.doi.org/10.1007/978-3-319-26555-1_24 |
Direitos |
2015, Springer |
Palavras-Chave | #Fuzzy logic controller #Hybrid controller #Internal model- based controller #Neural network #Forward model #Inverse model |
Tipo |
Conference Paper |