Speed control of a permanent magnet synchronous motor using predictive current control

Fuentes, Esteban; Rodríguez, José; César, Sergi; Díaz, Sergio; Quevedo, Daniel E.

doi:10.1109/ipemc.2009.5157418

Cited by 47 publications

(11 citation statements)

References 9 publications

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“…The predictive controller is in charge of controlling both NPC three-phase currents and the dc-link voltage balance. Proportional-Integral (PI) controllers have been designed for controlling the dc-link voltage and the generator speed, which is the conventional control approach [27], [34], [35].…”

Section: Model Of the Systemmentioning

confidence: 99%

Predictive Control of a Back-to-Back NPC Converter-Based Wind Power System

Calle-Prado

Alepuz

Bordonau

et al. 2016

IEEE Trans. Ind. Electron.

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Abstract-As wind power technology points to increase power ratings, the implementation based on a permanent-magnet synchronous generator with a full power converter is expanding its market share. Multilevel converters, as for example, neutralpoint clamped converters, are therefore well suited for this application. Predictive current control presents similar dynamic response and reference tracking than other well-established control methods, but working at lower switching frequencies, and providing extensive flexibility to apply either on-line or off-line different control laws to the same plant. In this work, the predictive current control is applied to the both sides of the backto-back neutral-point clamped converter connecting a permanent-magnet synchronous wind power generator to the grid. Dc-link neutral-point balance is achieved by means of the predictive control algorithm, which considers the redundant switching states of the back-to-back neutral-point clamped converter. Reduced number of commutations, current spectrum control, and compliance with the low voltage ride-through requirement are carried out with the predictive control. The obtained experimental results confirm the suitability of the proposed control approach.

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Section: Model Of the Systemmentioning

confidence: 99%

Predictive Control of a Back-to-Back NPC Converter-Based Wind Power System

Calle-Prado

Alepuz

Bordonau

et al. 2016

IEEE Trans. Ind. Electron.

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“…An evolution of the cost function defined in [4] is proposed in [5] and enables the imposition of the load current spectrum. This kind of current controller can be used in a cascade structure to control the speed of a PMSM, as in [6].…”

Section: The Finite Control Set Model Predictive Control (Fcs-mpc)mentioning

confidence: 99%

“…Based on the discrete-time model of the load and on the finite set of switching states of modern converters, it's able at each sample time to select the switching states that minimizes a user defined cost function. In the literature, many electrical motor drive based on this technique were developed [4][5] [6] [7]. Through the high adaptability of its cost function, a special care on the converter and load efficiency can be relatively easily achieved [2].…”

Section: Introductionmentioning

confidence: 99%

An improved model predictive control for online PWM sequence selection applied on converter

Gendrin¹,

Gauthier²,

Lin-Shi³

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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The Finite Control Set Model Predictive Control (FCS-MPC) technique is worldwide recognized due to its adaptability and capacity to take into account the discrete characteristics of control systems. However, it shows some limitations when directly used to control power converters, as its variable frequency spectrum, its limited current quality and its low-voltage precision for a given sample time. Therefore this paper presents an improved hybrid Pulse Width Modulation (PWM) technique based on FCS-MPC, that uses the FCS-MPC theory to select the PWM sequence applied on an inverter at each sample time. The choice on the finite set of PWM sequences is made through a trade-off between the minimization of the switching losses and load current distortion. Simulation results are presented to support the developed technique and show some promising results with appreciable reduction of the switching losses.

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“…Machine currents are controlled using MIMO-MPC controller in stationary coordinates. Actually, one of the reasons to control machine currents in synchronous coordinates comes from the steady-state error associated with PI controller by controlling such systems [25], although controlling the machine quantities in stationary coordinates simplifies the control structure and removes the need of coordinate transformations [24].…”

Section: B Using the Extended Machine Model With Inner Compensationmentioning

confidence: 99%

The explicit solution of model-based predictive control by considering the nonlinearities in drive applications

Ameen

Galal

Kennel³

et al. 2012

2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC)

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The main contribution of this work is reflected in the way of dealing with non-linear terms, appearing in AC machine models. Consideration of these nonlinearities in formulating the model predictive control (MPC) problem with offline optimization are normally ignored, considered as an additive disturbance, or linearized around some operating points. In this work, nonlinear terms are considered without linearization and compensated either inner or outer the MPC controller structure in different configurations. The cross-coupling and nonlinearities between state variables in the fundamental model of AC machines arise in term of induced voltages. The effect of these voltages on the MPC current controller increases proportionally by accelerating the machine. Therefore, an unloaded induction machine is introduced in this paper as a case study. Furthermore, a comparative analysis concerning the compensation procedure of these terms is introduced between the proposed methods and other ones in conventional scalar and complex PI-controllers.

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Speed control of a permanent magnet synchronous motor using predictive current control

Cited by 47 publications

References 9 publications

Predictive Control of a Back-to-Back NPC Converter-Based Wind Power System

Predictive Control of a Back-to-Back NPC Converter-Based Wind Power System

An improved model predictive control for online PWM sequence selection applied on converter

The explicit solution of model-based predictive control by considering the nonlinearities in drive applications

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