An improved predictive current control for IM drives

Shiravani, Fahimeh; Alkorta, Patxi; Cortajarena, José Antonio; Barambones, Óscar

doi:10.1016/j.asej.2022.102037

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…coupling and back EMF (8) Thus, two components of the stator voltages u sd/q are highlighted, one linear v d/q correlated with an RL equivalent circuit and another u p sd/q , which is generated by the cross-coupling and back EMF. The linear voltage components v sd/q represent the controller outputs that control the currents i sd/q and the voltage components u p sd/q are considered disturbances that must be compensated by a decoupling algorithm based on feedforward components.…”

Section: Decoupling Algorithmmentioning

confidence: 99%

“…The linear inequality is parameter-varying because the limited torque depends nonlinearly on the rotor speed and, to solve this problem, a multiparametric quadratic programming (mp-QP) algorithm is utilized. To replace the inner PI current controllers and the pulse width modulation (PWM) block and, thus, to obtain faster dynamics, in [8], a finite control set predictive current control approach is proposed to control the IM. For rotor speed control, in the outer loop, a PI controller is used and, for IM stator windings protection, the electromagnetic torque current command is limited.…”

Section: Introductionmentioning

confidence: 99%

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Induction Motor Improved Vector Control Using Predictive and Model-Free Algorithms Together with Homotopy-Based Feedback Linearization

Costin,

Lazar

2024

Energies

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Vector control of an induction machine (IM) is typically performed by using cascade control structures with conventional linear proportional–integral (PI) controllers, the inner loop being designed for current control and the outer loop for rotor flux and speed control. In this paper, starting with the dq model of the IM, advanced control algorithms are proposed for the two control loops of the cascade structure. For the current inner loop, after the decoupling of the two dq currents, predictive control algorithms are employed to independently control the currents, considering the constraints imposed by the electrical signal physics limitations. Since the outer loop has a nonlinear affine multivariable plant model, a homotopy-based variant of feedback linearization is used to obtain a nonsingular decoupling matrix of the feedback transformation even when the rotor flux is zero at the start-up of the motor. During the continuous variation in the homotopy parameter, the plant model is variable and, for this reason, model-free algorithms are used to control the flux and speed of the IM due to their capabilities to manage complex dynamics from data without requiring knowledge of the plant model. The performances of the proposed cascade control strategy with advanced algorithms in the two loops were tested by simulation and compared with those obtained with conventional PI controllers, resulting in better dynamic behavior for predictive and model-free control.

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Section: Decoupling Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%