Smart Voltage Vectors for Model Predictive Control of Six-Phase Electric Drives

Gonzalez-Prieto, Angel; González-Prieto, Ignacio; Durán, Mario J.

doi:10.1109/tie.2020.3028812

Cited by 26 publications

(14 citation statements)

References 27 publications

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“…In the case of CB-PWM the working principle is based on the variation of the duty cycles to obtain the voltage references on average during the sampling period. Nevertheless, the suitable average voltage production cannot ensure the best harmonic mitigation if some selected voltage vectors present a high degree of x − y injection [17][18][19][20]. An extreme example of the average assumption is provided in [22], where two opposite large voltage vectors are applied with the same time ratio in order to obtain an α − β null voltage vector with minimum common mode voltage.…”

Section: B Generation Of the Voltage Outputmentioning

confidence: 99%

“…Fortunately, the current quality limitation of standard FCS-MPC strategies can be significantly overcome with the utilization of virtual voltage vectors (VV) [6,[12][13][14][15][16][17][18][19]. These multi-vector techniques are characterized by the use of couples of voltage vectors as control actions to minimize the x−y injection.…”

Section: Introductionmentioning

confidence: 99%

“…These multi-vector techniques are characterized by the use of couples of voltage vectors as control actions to minimize the x−y injection. Different sets of offline [12][13][14][15][16][17]19] and online estimated [6,18] VVs have been employed to simultaneously satisfy the flux/torque production and the harmonic injection reduction. Focusing on the critical mitigation of the secondary components, the use of large voltage vectors to generate the VVs (LVVs) is considered a satisfactory solution thanks to their behavior in the x − y plane [17][18].…”

Section: Introductionmentioning

confidence: 99%

“…Different sets of offline [12][13][14][15][16][17]19] and online estimated [6,18] VVs have been employed to simultaneously satisfy the flux/torque production and the harmonic injection reduction. Focusing on the critical mitigation of the secondary components, the use of large voltage vectors to generate the VVs (LVVs) is considered a satisfactory solution thanks to their behavior in the x − y plane [17][18]. Unfortunately, two adjacent large voltage vectors cannot provide null average x − y voltages within the control cycle.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, some remaining current harmonics appear if only LVVs are employed to mitigate these secondary components. Although, the x−y production can be reduced if the LVVs are combined with a null voltage vector in each sampling period, the cancellation of the average x − y voltages cannot be fully achieved [17][18].…”

Section: Introductionmentioning

confidence: 99%

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Current Harmonic Mitigation Using a Multi-Vector Solution for MPC in Six-Phase Electric Drives

et al. 2021

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Multiphase machines offer some interesting features to develop more-competitive electric drives. However, the control complexity increases due to the higher number of freedom degrees. Specifically, the regulation of secondary currents becomes critical to avoid an unacceptable harmonic distortion of phase currents. In this regard, standard finite-control-set model predictive control (FCS-MPC) is characterized by a limited capability to provide a suitable current quality, since a single switching state is applied per control cycle. In order to reduce the current harmonic content and retain the well-known FCS-MPC advantages, the use of a multi-vector approach has been recently explored in the field of multiphase electric drives. Following this trend, this work develops a simplified FCS-MPC version with a new generation of virtual voltage vectors (VV) that are used as control actions. The switching states that form the proposed VV provide null average x − y voltages and reduced instantaneous injection of these secondary components. The capability of the suggested VV-based FCS-MPC strategy to mitigate the x−y injection is experimentally tested and compared to field-oriented control (FOC) using carrier-based pulse width modulation (CB-PWM) and diverse FCS-MPC schemes.

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Section: B Generation Of the Voltage Outputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Current Harmonic Mitigation Using a Multi-Vector Solution for MPC in Six-Phase Electric Drives

et al. 2021

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show abstract

Model predictive sliding mode control of six‐phase induction motor using nine‐switch converter

Gülbudak

Gökdağ

Kömürcügil

2022

Circuit Theory & Apps

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This article proposes a new control strategy to regulate the six-phase induction machine fed by a nine-switch converter. The traditional model predictive control method is a favorable feedback control routine in variable-drive applications. However, the lack of the term that assess the closed-loop stability in the conventional cost function formulation may cause potential closed-loop instability and be incapable of tolerating the parameter mismatch. Furthermore, the conventional model predictive control formulation cannot ensure global optimality in case of deviation from the nominal operating point. In this paper, the closed-loop stability is enhanced by including a sliding mode stability term in the objective function. The traditional cost function is redeveloped as a sliding mode control stability term, and the selection of the control input that satisfies the closed-loop loop stability condition is ensured. The robustness performance of the system is improved, and a better steady-state performance is achieved. The proposed control strategy is proved using a hardware setup including a six-phase 30 spatially shifted induction motor and nine-switch converter prototype. The experimental results demonstrate that a secured sixphase induction motor operation is guaranteed while improving the closedloop robustness.

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A Brief Survey of Model Predictive Current Control Techniques for Six-Phase Induction Machines

Jorge

2021

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

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Smart Voltage Vectors for Model Predictive Control of Six-Phase Electric Drives

Cited by 26 publications

References 27 publications

Current Harmonic Mitigation Using a Multi-Vector Solution for MPC in Six-Phase Electric Drives

Current Harmonic Mitigation Using a Multi-Vector Solution for MPC in Six-Phase Electric Drives

Model predictive sliding mode control of six‐phase induction motor using nine‐switch converter

A Brief Survey of Model Predictive Current Control Techniques for Six-Phase Induction Machines

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