Abstract
In practice, the applied control voltage for an induction motor drive system fed by a voltage source inverter has a limit depending on the DC bus capacity. In certain operations such as accelerating, the motor might require an excessively high voltage value that the DC bus cannot supply. This paper presents a control solution for the bounded control input problem of the induction motor system by flexibly combining a hyperbolic tangent function in a backstepping control design procedure. In addition, the barrier Lyapunov function is also employed to force speed tracking error in a defined value. The closed-loop system stability is proven, and the proposed control is verified through numerical simulations.
Highlights
Induction motors have been serving as a major workforce in various industrial applications [1, 2] due to their robustness and ease of maintenance
In the two most common induction motor drive control techniques, Flux Oriented Control (FOC) [6] based schemes are widely used when compared to Direct Torque Control (DTC) structure [7]
In [16], adaptive backstepping control supported by a fuzzy system for integral action was developed for a linear induction motor
Summary
Induction motors have been serving as a major workforce in various industrial applications [1, 2] due to their robustness and ease of maintenance. In the two most common induction motor drive control techniques, Flux Oriented Control (FOC) [6] based schemes are widely used when compared to Direct Torque Control (DTC) structure [7]. Thanks to its systematic design and the ability to cope with system nonlinearities, backstepping method is intensively used in the induction motor drive. Authors in [12] successfully employed backstepping integrated with a high-gain observer for stabilizing the motor drive without information on the rotor speed, flux, and load torque. Exploiting the robustness of sliding mode control, authors in [15] designed a backstepping sliding mode control for dealing with lumped uncertainties in linear induction motor drives. In [16], adaptive backstepping control supported by a fuzzy system for integral action was developed for a linear induction motor. The paper integrates Barrier Lyapunov function in the design steps in order to force the speed tracking error falling in a desired range
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