The Asymmetrical Dual Three-Phase Induction Machine and the MBPC in the Speed Control

Recalde, Raul Igmar Gregor

doi:10.5772/50559

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…T is the remaining portion to be estimated, I represents the identity matrix, A and B are matrices whose components obtained in [10]. The prediction of the stator currents can be calculated as follows:…”

Section: Predictive Modelmentioning

confidence: 99%

Efficiency analysis of reduced-order observers applied to the predictive current control of asymmetrical dual three-phase induction machines

Rodas

Gregor

Rivera

et al. 2013

2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and P

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This paper presents an analysis of two different model-based predictive control (MBPC) algorithms applied to the current regulation of dual three-phase induction machine (DTPIM). These algorithms are implemented by simulations using the concept of reduced-order observers to estimate the rotor currents. A comparative analysis of the performance of the proposed control techniques are evaluated using the Luenberger Observer (LO) and the optimal estimator based on Kalman Filter (KF). The results obtained through simulations are compared with the reference obtained by the conventional solution in which the rotor currents as opposed to being estimated are calculated from the dynamic equations of the machine. These results validate the excellent dynamic performance and the efficiency of the proposed methods.Keywords-Model-based predictive control (MBPC), Kalman Filter (KF), Luenberger Observer (LO), dual three-phase induction machine (DTPIM). T =

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Section: Predictive Modelmentioning

confidence: 99%