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.
CITATION STYLE
Hosen, M. A., Salaken, S. M., Khosravi, A., Nahavandi, S., & Creighton, D. (2015). Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9491, pp. 206–213). Springer Verlag. https://doi.org/10.1007/978-3-319-26555-1_24
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