Abstract
This paper proposes a cascade proportional-integral continuous second-order sliding mode control method for brushless doubly-fed induction machine. This method consists of the speed out-loop proportional-integral controller and the current inner-loop sliding mode control. Proportional-integral controller provides references to the inner-loop sliding mode control with constraints according to the system requirements in terms of maximum current and speed limits. Sliding mode control method is designed to achieve excellent robustness and anti-interference ability, which is suitable for machines with nonlinear structures. Experimental results demonstrate the fast-dynamic performance and excellent robust tracking of the proposed method.
Highlights
The brushless doubly-fed induction machine (BDFIM) [1,2,3] is a new type of ac induction machine which is developed from two cascaded asynchronous motors
Since the matrix converter possesses the advantages of bi-directional power flow with the full four-quadrant operation, sinusoidal input and output currents, controllable input power factor, high power density, and no DC-link energy storage elements [8,9], using matrix converter as a frequency converter to drive BDFIM through appropriate control mode will be another promotion of wind power generation system
This paper presents the application of cascade PI-second-order Slide Mode Control (SMC) for the BDFIM with the matrix converter
Summary
Abstract—This paper proposes a cascade proportional-integral continuous second-order sliding mode control method for brushless doubly-fed induction machine. This method consisting of speed out-loop Proportional-Integral controller and current inner-loop sliding mode controller. The PI controller provides reference to the inner-loop sliding mode controller with constraints according to the system requirements in terms of maximum current and speed limits. The sliding mode control method is designed to achieve excellent robustness and anti-interference ability, which is suitable for machines with nonlinear structures. Experimental results demonstrate the fast dynamic performance and excellent robust tracking of the proposed method
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