Robust Finite Control Set Model Predictive Current Control for Induction Motor Using Deadbeat Approach in Stationary Frame

The model predictive control increased its prominence in the field of induction machine drives. However, the performance of this strategy depends on the accuracy of the machine model parameters. In order to overcome this deficiency, this paper proposes a robust model predictive current control emplo...

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Bibliographic Details
Published in:	IEEE access Vol. 11; pp. 13067 - 13078
Main Authors:	Santos, Thiago Baldim Dos, Oliani, Igor, Figueiredo, Rafael, Albieiro, Daniel, Pelizari, Ademir, Sguarezi Filho, Alfeu J.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Control algorithms Control methods Control theory Cost function Current control deatbeat Electric potential indirect field oriented control Induction motor Induction motors Mathematical models model predictive control parameter variations Parameters Predictive control Predictive models Robust control robust predictive control Robustness Rotors State vectors Stators Voltage Voltage control
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Summary:	The model predictive control increased its prominence in the field of induction machine drives. However, the performance of this strategy depends on the accuracy of the machine model parameters. In order to overcome this deficiency, this paper proposes a robust model predictive current control employing indirect field-oriented control in stationary reference frame using the stator current and the rotor flux vectors as state and stator voltage vector as the input. The control algorithm combines the classical model predictive control with the deadbeat approach in order to calculate the applied stator voltage vector in two components: one element considers the stator current reference, and another employs the disturbances caused due to the parameter errors, which allows to compensate the parameter mismatches in the plant model. The minimized cost function employs the predicted stator voltage vector to select the voltage vector to be applied to the stator terminals of the motor. The control method performance was verified using an experimental test bench analyzing the system steady-state and dynamic actions. In this way, the results corroborate the proposed controller robustness against parametric variations.
ISSN:	2169-3536 2169-3536
DOI:	10.1109/ACCESS.2022.3223385