Finite States Predictive Torque and Flux control fed by an Indirect Converter with and without energy storage
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Published
Aug 6, 2015
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Abstract
The paper presents an improved predictive direct control of a variable speed. The method is based on finite states
space model of the converter. The proposed control method selects the optimal switching state of (Indirect Converter with and
without energy storage for rectified and inverter) that minimizes the error between orthogonal torque, fluxs, and the reactive
power components predictions to their computed values for all different voltage vectors. The optimal voltage vector that
minimizes a cost function is then applied to the output of the power converter. The proposed predictive control strategy uses
only one sample time prediction and it is very intuitive since it is very simple for implementation, and provides best
performances.
space model of the converter. The proposed control method selects the optimal switching state of (Indirect Converter with and
without energy storage for rectified and inverter) that minimizes the error between orthogonal torque, fluxs, and the reactive
power components predictions to their computed values for all different voltage vectors. The optimal voltage vector that
minimizes a cost function is then applied to the output of the power converter. The proposed predictive control strategy uses
only one sample time prediction and it is very intuitive since it is very simple for implementation, and provides best
performances.