RT info:eu-repo/semantics/article
T1 A new method for sensorless estimation of the speed and position in brushed DC motors using support vector machines
A1 Vázquez Sánchez, Ernesto
A1 Gómez Gil, Jaime
A1 Gamazo Real, José Carlos
A1 Díez Higuera, José Fernando
K1 Electrical engineering
K1 Artificial intelligence
K1 Brushed DC motor
K1 Support vector machines (SVMs)
K1 Current ripple
K1 Motor CC con escobillas
K1 Máquinas de vectores de soporte (SVM)
K1 Ondulación de corriente
K1 3306 Ingeniería y Tecnología Eléctricas
AB Currently, for many applications, it is necessary to know the speed and position of motors. This can be achieved using mechanical sensors coupled to the motor shaft or using sensorless techniques. The sensorless techniques in brushed dc motors can be classified into two types: 1) techniques based on the dynamic brushed dc motor model and 2) techniques based on the ripple component of the current. This paper presents a new method, based on the ripple component, for speed and position estimation in brushed dc motors, using support vector machines. The proposed method only measures the current and detects the pulses in this signal. The motor speed is estimated by using the inverse distance between the detected pulses, and the position is estimated by counting all detected pulses. The ability to detectghost pulses and to discard false pulses is the main advantage of this method over other sensorless methods. The performed tests on two fractional horsepower brushed dc motors indicate that the method works correctly in a wide range of speeds and situations, in which the speed is constant or varies dynamically.
PB IEEE
SN 0278-0046
YR 2012
FD 2012
LK https://uvadoc.uva.es/handle/10324/65835
UL https://uvadoc.uva.es/handle/10324/65835
LA eng
NO IEEE Transactions on Industrial Electronics, 2012, vol. 59, no. 3, pp. 1397-1408
NO Producción Científica
DS UVaDOC
RD 22-may-2024