Title :
A new neural networks approach to induction motor speed control
Author :
Cirstea, M. ; Dinu, A.
Author_Institution :
De Montfort Univ., Leicester, UK
fDate :
6/23/1905 12:00:00 AM
Abstract :
A new neural induction motor control strategy developed using VHDL and implemented in XILINX FPGA is presented. The parameters of the three-phase equivalent circuit of the motor are derived from the space vector model of the motor. The speed control strategy is discussed. The new neural controller is verified by computer simulations and practical tests
Keywords :
angular velocity control; field programmable gate arrays; induction motors; machine control; neurocontrollers; parameter estimation; VHDL; XILINX FPGA; computer simulations; induction motor control; neural control strategy; neural controller; practical tests; space vector model; speed control strategy; speed estimation; three-phase equivalent circuit; Application specific integrated circuits; Digital signal processing; Field programmable gate arrays; Hardware; Induction motors; Neural networks; Programmable logic arrays; Sensorless control; Stators; Velocity control;
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7067-8
DOI :
10.1109/PESC.2001.954214
