Fast Response Model Predictive Torque and Flux Control With Low Calculation Effort for PMSMs

Wang, Yuanlin; Xie, Wei; Wang, Xiaocan; Yang, Weibin; Dou, Manfeng; Song, Shoujun; Gerling, Dieter

doi:10.1109/tii.2019.2900116

Cited by 25 publications

(21 citation statements)

References 34 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%

“…By full mathematical analysis, only the stator flux can be employed in the cost function, as called model predictive direct flux control (MPDFC). Till now, such method has been widely studied by many experts [36], [84], [92], [93]. The cost function for this method is given by g = ψ * αs − ψ αs (k + 1) + ψ * βs − ψ βs (k + 1) (18)…”

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

confidence: 99%

“…17. Furthermore, a novel MPTC with a fast response is proposed in [36] for PMSM drives, where the reference torque is converted to reference stator flux-linkage in d-axis and q-axis, totally different from those in α-axis and β-axis as presented in [84], [92]. Besides, Pontryagin's Maximum Principle is applied during the transient process to get much faster dynamic response.…”

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

confidence: 99%

See 2 more Smart Citations

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%

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

confidence: 99%

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

confidence: 99%

See 1 more Smart Citation

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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“…Also, that vector is employed for the whole control cycle, which in many cases is undesired [9]. Hence, the model predictive DTC (MP-DTC) [10][11][12][13][14] and duty regulation-based DTC (DDTC) [15,16] are introduced as alternatives.…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Suppression for IPMSM using FEA- based Model Predictive Direct Torque Control

Nasr

Zhao

et al. 2021

2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

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The interest in model predictive direct torque control (MP-DTC) for high-performance dynamic control of electric drives has been growing. Unlike the conventional direct torque control (DTC), MP-DTC can achieve optimal voltage selection by predicting the control variables evaluations using a machine model. However, the model-machine mismatch can degrade the control performance significantly, especially for the interior permanent magnet synchronous machine (IPMSM) because of its highly nonlinear characteristics. Therefore, this paper describes an investigation of the MP-DTC algorithm that exploits the advantages of a finite element analysis (FEA) based model in representing the behavior of the IPMSM precisely, including the magnetic saturation and spatial harmonics effects, to suppress the torque pulsations and eliminate the steady-state torque error. Moreover, this approach optimizes the duty ratio simultaneously with the voltage vector selection to guarantee further torque ripple reduction under steady-state operation, especially at low speeds. Simulation results of an 80-kW IPMSM drive are presented to validate the model and the proposed control method.

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“…With an appropriate initial guess to start the solving procedure, the indirect method can rapidly converge to an accurate solution. This property makes this approach attractive in various fields such as torque control of Permanent Magnet Synchronous Motors (PMSMs) (Wang et al, 2019), motion control of spacecraft (Feng et al, 2019; Ge et al, 2018), speed optimization (Abbas et al, 2019) and energy management of electrical vehicles (Kim et al, 2019; Nguyen et al, 2019; Sohn et al, 2019), hybrid bus (Xie et al, 2019). It has also been used in hydrocarbon emission control of automotive engine (Azad, 2015), optimal boundary control of the manufacturing systems (Sun and Wu, 2019), and non-linear parabolic system consisting of a heat equation (Sun and Wu, 2017).…”

Section: Introductionmentioning

confidence: 99%

A variational approach to determination of maximum throw-able workspace of robotic manipulators in optimal ball pitching motion

Asgari

Nikoobin

2021

Transactions of the Institute of Measurement and Control

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This study is aimed at finding the entire points that a manipulator can launch an object onto by an optimal motion. These points are called throw-able workspace, which are located outside the reachable workspace of the robot. From an optimization point of view, some throwing parameters can be found to decrease motion cost. In this paper, by using this concept, the best combination of throwing and trajectory planning is attempted. The proposed method consists of two basic ideas: first, defining the optimal throwing problem as the optimal control problem (OCP) and solving it using the indirect solution approach based on the fundamental lemma of calculus of variations. To achieve the best release angle and speed, the throwing equation of motion is applied as a moving-end boundary condition (BC). Second, based on the obtained optimal throwing, an algorithm is presented to calculate the maximum throw-able workspace. The simulation results demonstrate the effectiveness of the proposed framework for both single link and spatial two-degree-of-freedom throwing robots.

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Fast Response Model Predictive Torque and Flux Control With Low Calculation Effort for PMSMs

Cited by 25 publications

References 34 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

Torque Ripple Suppression for IPMSM using FEA- based Model Predictive Direct Torque Control

A variational approach to determination of maximum throw-able workspace of robotic manipulators in optimal ball pitching motion

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