Stator-flux-based vector control of induction machines in magnetic saturation

Hofmann, H.; Sanders, S.R.; Sullivan, C.

doi:10.1109/ias.1995.530296

Cited by 7 publications

(8 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following the application and removal of the step-change of load torque , the dip and overshoot of the motor speed showed a signi cant reduction with a subsequent improvement of the motor performance . exhibits high-frequency pulsation of large magnitude in agreement with previous investigation [15] .…”

Section: Simulation Results and Discussionsupporting

confidence: 89%

Design of Robust Controller for Vector Controlled Induction Motor Based on Q-Parameterization Theory

Sayed¹,

Abdel‐Fatah²,

Abdelsalam³

et al. 2002

Electric Power Components and Systems

View full text Add to dashboard Cite

Elec tric P o we r C ompo ne nts and Syste ms, 30:981-999, 2002 C opyright c This article is aimed at designing a robust-controller for vector-controlled induction motor drive systems based on the Q-parameterization theory. The set of all stabilizing controllers for the system is characterized by two free Q-parameters of the controllers. The Q-parameters are chosen using an optimization technique to satisfy the design requirements. To demonstrate the eOEectiveness of the proposed controller, the calculated motor speed and torqueproducing current component in presence of core-loss are compared with those measured in the literature. Simulation results show that good response of the control system due to the step change-of-speed command/load torque can be achieved using the proposed controller.

show abstract

Section: Simulation Results and Discussionsupporting

confidence: 89%

Design of Robust Controller for Vector Controlled Induction Motor Based on Q-Parameterization Theory

Sayed¹,

Abdel‐Fatah²,

Abdelsalam³

et al. 2002

Electric Power Components and Systems

View full text Add to dashboard Cite

show abstract

“…2 [24]. It is evident that the rotor speed is uniquely related with the steady-state stator current vector.…”

Section: Induction Machine Modelmentioning

confidence: 98%

Speed-Sensorless Torque Control of Induction Machine Based on Carrier Signal Injection and Smooth-Air-Gap Induction Machine Model

Wang

Hofmann

El-Antably³

2006

IEEE Trans. On Energy Conversion

View full text Add to dashboard Cite

A speed-estimation technique for induction machines, based on carrier signal injection and the standard two-axis smoothair-gap induction machine model, is presented. The proposed speed-estimation technique can work over a wide range of operating points, including fundamental dc excitation. The stability of the algorithm is analyzed using a two-time-scale approach. Based on the estimated rotor speed, a torque controller is designed. Experimental results are presented confirming the validity of this approach. A method to reduce torque ripple generated by the injected carrier signals is also introduced.

show abstract

“…The effects of nonlinear magnetics are further approached by Hofmann et al in [5]. While most induction motor controllers assume linear magnetics for simplicity, Hofmann et al present a stator-flux-based vector control which works well for machines operating in magnetic saturation, which cannot be described by linear magnetics.…”

Section: Nonlinearity and Uncertainty Of Induction Motorsmentioning

confidence: 99%

Robust Adaptive Control

Kosut¹

1989

View full text Add to dashboard Cite

In this thesis, a robust adaptive control scheme is proposed in order to drive an induction motor with high performance, even in the presence of unknown machine electrical parameters. Magnetic saturation within an induction motor results in nonlinear, changing flux dynamics. Also, rotor resistance changes with temperature as the machine is heated due to normal use, resulting in more parametric uncertainty. The proposed control scheme will cause the motor to track a desired reference model behavior, even in the presence of these unknown parameters. An adaptive control scheme known as L 1 adaptive control is used to ensure that this reference model behavior is realistic, so that robustness may be maintained even with very fast adaptation. This controller is limited by the flux observer used to provide information about flux magnitude and direction.ii

show abstract

Stator-flux-based vector control of induction machines in magnetic saturation

Cited by 7 publications

References 24 publications

Design of Robust Controller for Vector Controlled Induction Motor Based on Q-Parameterization Theory

Design of Robust Controller for Vector Controlled Induction Motor Based on Q-Parameterization Theory

Speed-Sensorless Torque Control of Induction Machine Based on Carrier Signal Injection and Smooth-Air-Gap Induction Machine Model

Robust Adaptive Control

Contact Info

Product

Resources

About