TY - GEN
T1 - Speed control of Switched Reluctance Motor (SRM) using emotional learning based adaptive controller
AU - Rouhani, Hosscin
AU - Milasi, Rasoul Mohammadi
AU - Lucas, Caro
PY - 2005
Y1 - 2005
N2 - In this paper, an intelligent controller is applied to speed control of a switched reluctance motor. Two techniques are used which have been successfully used in other intelligent modeling and control applications. Firstly, a neurofuzzy locally linear model tree system is used for data driven modeling of the switched reluctance motor. Secondly, a neural computing technique based on a mathematical model of amygdala and the limbic system is used for emotional control of the switched reluctance motor. The obtained results indicate the applicability of the proposed techniques in intelligent control of this highly nonlinear system.
AB - In this paper, an intelligent controller is applied to speed control of a switched reluctance motor. Two techniques are used which have been successfully used in other intelligent modeling and control applications. Firstly, a neurofuzzy locally linear model tree system is used for data driven modeling of the switched reluctance motor. Secondly, a neural computing technique based on a mathematical model of amygdala and the limbic system is used for emotional control of the switched reluctance motor. The obtained results indicate the applicability of the proposed techniques in intelligent control of this highly nonlinear system.
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M3 - Conference contribution
AN - SCOPUS:27844456994
SN - 0780391381
T3 - Proceedings of the 5th International Conference on Control and Automation, ICCA'05
SP - 330
EP - 334
BT - Proceedings of the 5th International Conference on Control and Automation, ICCA'05
T2 - 5th International Conference on Control and Automation, ICCA'05
Y2 - 27 June 2005 through 29 June 2005
ER -