Weighting Factorless Model Predictive Thrust Control for Linear Induction Machine

Xu, Wei; Zou, Jianqiao; Liu, Yi; Zhu, Jun

doi:10.1109/tpel.2019.2893373

Cited by 25 publications

(15 citation statements)

References 26 publications

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“…Therefore, it needs a weighting factor to balance the unit of the two terms, which gives one priority to one of them if suitable [83]. Recently, great efforts from the researchers have been done to overcome the problems adding weighting factors to the cost function, as mentioned in [34], [36], [73], [84]- [91]. These works of eliminating weighting factors are typically classified into two parts, as illustrated in Fig.…”

Section: B Fcs-mpc Without Weighting Factormentioning

confidence: 99%

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Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Elmorshedy

El-Sousy

et al. 2021

IEEE Access

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His research interests include modeling and control of motor drives, motion-control systems, wind energy systems, digital signal processing-based computer control systems, computational intelligent of power electronics, electric drives and power systems, intelligent control theories including fuzzy logic, neural networks, and wavelets, nonlinear control, optimal control, and robust control. MD. RABIUL ISLAM (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the

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Section: B Fcs-mpc Without Weighting Factormentioning

confidence: 99%

“…In [34], there are two techniques of weighting factor less are proposed. The cost function of the first technique is similar to that of the conventional FCS-MPDTC, but it is based on a variable weighting factor.…”

Section: ) Similar Items In the Cost Functions For Eliminating The Weighting Factormentioning

confidence: 99%

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Elmorshedy

El-Sousy

et al. 2021

IEEE Access

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“…The cost function can be expressed as: Unfortunately, there is no effective and generic theoretical guideline to determine the weighting factor for the strategies published up to now. In practical applications, it is tedious and time-consuming to tune the weighting factor [27]. To eliminate the weighting factor, a stator flux vector-based MPTC [19][20] was developed based on the deadbeat MPTC [14].…”

Section: Prediction and Cost Function Minimizationmentioning

confidence: 99%

A Novel Torque Boundary-Based Model Predictive Torque Control for PMSM Without Weighting Factor

Yao

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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In this paper, a novel torque boundary-based model predictive torque control (MPTC) is proposed to improve the torque and flux performance in permanent magnet synchronous motor (PMSM) drives by straightforwardly reducing the corresponding ripples. For this purpose, an optimal sequential list of two voltage vectors is considered as candidate input and the time durations of the two vectors to be applied are determined based on a predefined torque ripple tolerance band. Considering the torque outcomes both at the switching instant and at the end of the control period, the torque can be limited within the upper and lower boundaries of the preset tolerance band during the whole control period. Meanwhile, by monitoring the number of defined valid vector sequences, the torque boundaries can be optimized online. As a result, the torque ripple can be restrained to a fairly small range, and the torque boundary design work is avoided. In addition, according to the predicted torque outcomes of the candidate inputs, a group of vector sequences can be excluded from the control set before optimization, reducing the computation cost. Moreover, due to the preset torque ripple tolerance, the weighting factor in the cost function is eliminated, thereby avoiding the corresponding tuning work. Experimental results are presented to reveal the effectiveness of the proposed strategy. Index Terms-Permanent magnet synchronous motor (PMSM), model predictive control (MPC), torque control I. INTRODUCTION Due to the advantages of high-power density, simple structure and small volume, permanent magnet synchronous motors (PMSMs) have been widely used in many applications,

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“…In MP DTC, the error minimization function uses a weighting value; so there is a vital need for the precise and correct selection of this value, which in turn requires using an online optimization procedure which adds extra calculation time [13]- [15]. Moreover, the ripples are still present in the controlled variables; however its percentage is lower than that of classic DTC.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sensorless Predictive Voltage Control for an Induction Motor Drive Based on a Back-Stepping Observer-Experimental Validation

2021

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The current paper presents a novel predictive voltage control (PVC) for an induction motor (IM) without using a speed sensor. The proposed PVC is formulated using the model predictive control principle in which the stator voltages are directly controlled rather than regulating the flux and torque as in traditional MP DTC. The advantages of the proposed PVC over the commonly used MP DTC scheme are the reduced calculation time, the reduced ripples and the fast dynamic. To realize the sensorless operation of the IM, a robust observer is used to estimate the speed, rotor flux, stator current and stator and rotor resistances. The observer is constructed based on the back-stepping theory. Testing the validness of the proposed sensorless PVC technique is performed in a form of comparison between the PVC and MP DTC procedures. The tests are firstly accomplished using the Matlab/Simulink software; then, a dSPACE 1104 test board is utilized for the experimental validation. The simulation and experimental results show that the IM dynamics are effectively enhanced when applying the proposed PVC in comparison with the MP DTC performance. The back-stepping observer (BSO) also proved its ability to estimate the specified variables for different operating speeds and under parameters variation as well.

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Weighting Factorless Model Predictive Thrust Control for Linear Induction Machine

Cited by 25 publications

References 26 publications

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

A Novel Torque Boundary-Based Model Predictive Torque Control for PMSM Without Weighting Factor

A Novel Sensorless Predictive Voltage Control for an Induction Motor Drive Based on a Back-Stepping Observer-Experimental Validation

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