TY - GEN
T1 - Fuzzy model based control
T2 - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
AU - Canelon, Miguel Angel Ramirez
AU - Morles, Eliezer Colina
PY - 2008
Y1 - 2008
N2 - Classical fuzzy controllers have been of the rulebased type, where the rules in the controller attempt to model the response of an operator to a particular process situation. Based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear plant is represented by a zeroth-order Takagi Sugeno fuzzy model and it is analytically inverted for designing a fuzzy controller. In order to minimize the steady-state-error due to model-plant mismatch, an Internal Model Control (IMC) will be considered. The proposed fuzzy controller is applied to control the oil level in a production separator and is shown to be capable of providing good overall system performance.
AB - Classical fuzzy controllers have been of the rulebased type, where the rules in the controller attempt to model the response of an operator to a particular process situation. Based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear plant is represented by a zeroth-order Takagi Sugeno fuzzy model and it is analytically inverted for designing a fuzzy controller. In order to minimize the steady-state-error due to model-plant mismatch, an Internal Model Control (IMC) will be considered. The proposed fuzzy controller is applied to control the oil level in a production separator and is shown to be capable of providing good overall system performance.
UR - http://www.scopus.com/inward/record.url?scp=55349094360&partnerID=8YFLogxK
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U2 - 10.1109/HIS.2008.100
DO - 10.1109/HIS.2008.100
M3 - Conference contribution
AN - SCOPUS:55349094360
SN - 9780769533261
T3 - Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
SP - 750
EP - 757
BT - Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
Y2 - 10 September 2008 through 12 September 2008
ER -