DocumentCode
2615116
Title
On the design of a neural network chip for control applications
Author
Narathong, C.
Author_Institution
EE Dept., Wisconsin Univ., Platteville, WI, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
2764
Abstract
The design of a neural network chip is presented to be used in control applications. Specifically, the chip will be integrated in the control of a commercial DC motor having a significant amount of static friction. The main functions of the chip are to identify the friction and then to produce the exact amount of torque required to compensate for that friction. The author describes the neural network model and its hardware design, implementation, and simulation results
Keywords
DC motor drives; integrated circuit design; machine control; neural chips; torque control; DC motor; control applications; friction; hardware design; neural network chip; neural network model; static friction; torque; Angular velocity; Circuits; Friction; Neural network hardware; Neural networks; Neurons; Resistors; SPICE; Torque; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394340
Filename
394340
Link To Document