Discrete-time sliding mode speed observer for induction machine drives

Vieira, Rodrigo Padilha; Gastaldini, Cristiane Cauduro; Azzolin, Rodrigo Zelir; Gründling, Hilton Abílio

doi:10.1109/cobep.2011.6085226

Cited by 1 publication

(2 citation statements)

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“…In addition to the adaptive control of the vector control with rotor resistance adaptation, other works have proposed the speed sensorless control [9][10][11][12][13][14]. The elimination of speed sensors has become an inevitable task to guarantee the high performance control and operating reliability, not only because the sensors increase the cost and complexity of machines, but also the measures are stained by the noise that affects the robustness of control, especially in hostile environments.…”

Section: Introductionmentioning

confidence: 99%

“…The elimination of speed sensors has become an inevitable task to guarantee the high performance control and operating reliability, not only because the sensors increase the cost and complexity of machines, but also the measures are stained by the noise that affects the robustness of control, especially in hostile environments. Various technical controls without speed sensor were presented in this research, such as adaptive speed observer [9], MRAS speed estimator [10,11], fuzzy logic speed observer [12], and backstepping and sliding mode speed observer [13,14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Regaya

Zaafouri

Châari

2014

Mathematical Problems in Engineering

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Many scientific researchers have proposed the control of the induction motor without speed sensor. These methods have the disadvantage that the variation of the rotor resistance causes an error of estimating the motor speed. Thus, simultaneous estimation of the rotor resistance and the motor speed is required. In this paper, a scheme for estimating simultaneously the rotor resistance and the rotor speed of an induction motor using fuzzy logic has been developed. We present a method which is based on two adaptive observers using fuzzy logic without affecting each other and a simple algorithm in order to facilitate the determination of the optimal values of the controller gains. The control algorithm is proved by the simulation tests. The results analysis shows the characteristic robustness of the two observers of the proposed method even in the case of variation of the rotor resistance.

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