Dynamic performance improvement of induction motors used in rolling mill application: A two-loop model predictive control strategy

Devin, Mohammad Ghassem Farajzadeh; Sani, Seyed Kamal Hosseini; Bizhani, Hamed

doi:10.1016/j.isatra.2023.05.013

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…λ * s and λ * r are the reference fluxes for stator and inner rotor, respectively, which are calculated using Eqs. (24) and (25) to guarantee the maximum torque per ampere and minimum losses [8], [14].…”

Section: B Cost Functionmentioning

confidence: 99%

“…The weighting factor, w pm and w in , are then used for prioritizing between torque and flux errors. In a conventional MPC [24], the weighing factor is defined as w = T n /λ n to give the same precedence to both objectives. In the proposed strategy, however, the normalized values are used for torque and flux components incorporated in the cost function.…”

Section: B Cost Functionmentioning

confidence: 99%

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A Multi-Input Multi-Output Model Predictive Direct Torque Control for Dual Mechanical Port Machine

Bizhani,

Ben-Brahim,

Gastli

et al. 2023

IEEE Access

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In this paper, a multi-input multi-output (MIMO) model predictive direct torque control (MPDTC) strategy for a dual mechanical port machine (DMPM) is proposed. A MIMO state space model is developed, incorporating the electromagnetic interaction between the stator, inner rotor, and outer rotor of the DMPM. The prediction model is then derived to adjust the currents of stator and inner rotor windings, enabling independent control of the electromagnetic torques of the mechanical ports. Compared to single-input single-output based MPC and PI-based field-oriented control strategies, the proposed approach effectively mitigates the undesired electromagnetic interactions, guaranteeing smooth speed control of both mechanical ports. The simulation results carried out by MATLAB/Simulink verify the precise performance of the DMPM in different operating modes. The Hardware-in-the-Loop results further confirm that the proposed direct torque control not only regulates the inner and outer rotor independently, but can also be executed in real-time without posing any computational burden on the processor. A sensitivity analysis for evaluating the performance of the proposed strategy in the presence of variations in the electrical parameters of the DMPM is also provided.INDEX TERMS Dual mechanical port machine, model predictive control, direct torque control, multi-input multi-output system, hardware in the loop.

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Section: B Cost Functionmentioning

confidence: 99%

Section: B Cost Functionmentioning

confidence: 99%

A Multi-Input Multi-Output Model Predictive Direct Torque Control for Dual Mechanical Port Machine

Bizhani,

Ben-Brahim,

Gastli

et al. 2023

IEEE Access

Self Cite

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show abstract

“…MPC is also becoming a promising control strategy for nonlinear systems, due to its numerous benefits, including superior dynamic performance, the ability to optimize a multi-objective function while considering system constraints, and the ability to predict future system behaviour [17]. Existing MPC methods at the converter level can be classified into two groups: (a) continuous control set MPC (CCS-MPC), and (b) finite control set MPC (FCS-MPC) [18]. CCS-MPC method controls the converter by generating continuous signals (modulation index) needed for pulse width modulation (PWM), while FCS-MPC strategy directly generates the switching pulses, without requiring any modulation stage for switching the converter [11].…”

Section: Introductionmentioning

confidence: 99%

A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads

Tatari,

Banejad,

Kalat

2023

IET Renewable Power Gen

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Here, a move blocking (MB) based direct voltage model predictive control (DVMPC) strategy is introduced to enhance the dynamic performance of a DC microgrid in presence of constant power loads (CPLs). For this aim, an automatic discrete dynamic model is first developed for a boost converter. Considering the CPL effects on the dynamic model of the boost converter, a model predictive control is then designed to directly regulate the output voltage of the converter. Move blocking strategy is finally integrated into DVMPC in order to extend the prediction horizon, and consequently, dealing with the non‐minimum phase characteristic of the boost converter. The dynamic performance of the boost converter with a CPL load in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) is evaluated using MB‐based DVMPC and traditional control strategies. The simulation results conducted using MATLAB/Simulink demonstrate that the proposed approach not only enhances the dynamic performance of the DC microgrid, but also reduces the computational burden on the processor. Moreover, experimental results have been performed to validate the proposed strategy. Finally, the stability analysis of the proposed direct voltage control is provided.

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Control of pH neutralization process using NMPC based on discrete time NARX-Laguerre model

Ben Abdelwahed,

Bouzrara

2024

Computers & Chemical Engineering

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Dynamic performance improvement of induction motors used in rolling mill application: A two-loop model predictive control strategy

Cited by 4 publications

References 22 publications

A Multi-Input Multi-Output Model Predictive Direct Torque Control for Dual Mechanical Port Machine

A Multi-Input Multi-Output Model Predictive Direct Torque Control for Dual Mechanical Port Machine

A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads

Control of pH neutralization process using NMPC based on discrete time NARX-Laguerre model

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