Predictive control at fixed switching frequency for a dual three-phase induction machine with Kalman filter-based rotor estimator

Ayala, Magno; González, Osvaldo; Rodas, Jorge; Gregor, Raúl; Rivera, Marco

doi:10.1109/ica-acca.2016.7778449

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…A state-space representation based on the reference frame (α, β) can be used to model the motor. This model is given by [25]: Taking into account the state-space representation by (4) and using the state vector, we can write the previous system by the following equation:…”

Section: Mathematical Modeling Of Dsimmentioning

confidence: 99%

Sensorless ANFIS-Based Control of PV-Powered Double Stator Induction Motors for EVs

Roubache,

Chaouch

2024

JESA

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This paper propose a robust ANFIS based on Luenberger observer for sensor-less control of DSIM drives via backstepping control (BC) and supplied by a photovoltaic solar. The maximum power delivery to the DSIM is achieved by boost converter which employs P&O MPPT controller. It adjusts the duty cycle of the three-level DC-DC boost converter for extracting maximum power from PV array. In addition, ANFIS is used in this study to ameliorate the performance of this sensor-less control. However, to enhance the performances of this control, we used an EV based dynamic emulator. Thus, we sized and tested the global system under different metrological conditions. In Addition, we have highlighted the comparative analysis between the suggested ANFIS-LO and conventional observer. Finally, the obtained results show the efficiency of the suggested control scheme and the improvements of ANFIS controller based on LO in a DSIM drive system.

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Section: Mathematical Modeling Of Dsimmentioning

confidence: 99%

Sensorless ANFIS-Based Control of PV-Powered Double Stator Induction Motors for EVs

Roubache,

Chaouch

2024

JESA

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“…The modulated PCC (M-PCC) proposed for six-phase IM drives in References [102][103][104][105] integrates a modulation technique in the control algorithm to reduce the x -y current components. This strategy considers that the α-β subspace is divided into forty-eight different sectors, which are defined by adjacent voltage vectors with the same amplitude.…”

Section: Predictive Current Control Based On Pulse Width Modulation Smentioning

confidence: 99%

Finite Control Set Model Predictive Control of Six-Phase Asymmetrical Machines—An Overview

2019

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Recently, the control of multiphase electric drives has been a hot research topic due to the advantages of multiphase machines, namely the reduced phase ratings, improved fault tolerance and lesser torque harmonics. Finite control set model predictive control (FCS-MPC) is one of the most promising high performance control strategies due to its good dynamic behaviour and flexibility in the definition of control objectives. Although several FCS-MPC strategies have already been proposed for multiphase drives, a comparative study that assembles all these strategies in a single reference is still missing. Hence, this paper aims to provide an overview and a critical comparison of all available FCS-MPC techniques for electric drives based on six-phase machines, focusing mainly on predictive current control (PCC) and predictive torque control (PTC) strategies. The performance of an asymmetrical six-phase permanent magnet synchronous machine is compared side-by-side for a total of thirteen PCC and five PTC strategies, with the aid of simulation and experimental results. Finally, in order to determine the best and the worst performing control strategies, each strategy is evaluated according to distinct features, such as ease of implementation, minimization of current harmonics, tuning requirements, computational burden, among others.

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“…To overcome this subject, a predictive-fixed switching current control strategy, named (PFSCCS) from now on, applied to a two-level six-phase voltage source inverter (VSI) is presented in this paper. The strategy is based on a modulation concept employed with the MPC scheme, which has been studied for different power converters such as the mentioned two-level six-phase VSI described in [15,16] and also other topologies presented in [17,18]. In the proposed current strategy, three vectors have been considered at every sampling period, composed by two active vectors (taking only into account the largest vectors) and null vector, where their corresponding duty cycles are achieved according to the switching states and a switching pattern has also been used before being applied to VSI in order to generate a fixed switching frequency.…”

Section: Introductionmentioning

confidence: 99%

Predictive-Fixed Switching Current Control Strategy Applied to Six-Phase Induction Machine

et al. 2019

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In applications such as multiphase motor drives, classical predictive control strategies are characterized by a variable switching frequency which adds high harmonic content and ripple in the stator currents. This paper proposes a model predictive current control adding a modulation stage based on a switching pattern with the aim of generating a fixed switching frequency. Hence, the proposed controller takes into account the prediction of the two adjacent active vectors and null vector in the ( α - β ) frame defined by space vector modulation in order to reduce the (x-y) currents according to a defined cost function at each sampling period. Both simulation and experimental tests for a six-phase induction motor drive are provided and compared to the classical predictive control to validate the feasibility of the proposed control strategy.

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Predictive control at fixed switching frequency for a dual three-phase induction machine with Kalman filter-based rotor estimator

Cited by 12 publications

References 11 publications

Sensorless ANFIS-Based Control of PV-Powered Double Stator Induction Motors for EVs

Sensorless ANFIS-Based Control of PV-Powered Double Stator Induction Motors for EVs

Finite Control Set Model Predictive Control of Six-Phase Asymmetrical Machines—An Overview

Predictive-Fixed Switching Current Control Strategy Applied to Six-Phase Induction Machine

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