Title :
Optimal positioning system with fuzzy logic controller
Author :
Dosoftei, Constantin-Catalin ; Mastacan, Lucian
Author_Institution :
Fac. of Autom. Control & Comput. Sci., Tech. Univ. Gh. Asachi, Iasi, Romania
Abstract :
Research undertaken for the behavior of “human expert” showed that it is specific to its highly nonlinear behavior, with the effects of anticipation, integration, prediction and adapting itself to the concrete conditions of operation. Control processes using fuzzy logic controllers from this point of view is more pragmatic and can be adapted to a much wider class of processes. This paper presents fuzzy control system of DC motor speed. Choice is justified by the large number of applications in electric drive systems. Fuzzy logic combined with optimal tracking theory is proposed for the positioning control of a DC motor.
Keywords :
DC motor drives; fuzzy control; optimal systems; position control; tracking; velocity control; DC motor positioning control; DC motor speed; electric drive system; fuzzy logic controller; human expert behavior; nonlinear behavior; optimal positioning system; optimal tracking theory; DC motors; Fuzzy logic; Optimal control; Optimization; Process control; Torque; Trajectory;
Conference_Titel :
System Theory, Control, and Computing (ICSTCC), 2011 15th International Conference on
Conference_Location :
Sinaia
Print_ISBN :
978-1-4577-1173-2
