Rapid Torque Rising of PMSM by Directly Chasing Rotating Flux Linkage Vector

Wang, Wenbai; Du, Mingxing; Wei, Kexin

doi:10.1109/jestpe.2020.3048091

Cited by 14 publications

(15 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods are described in the following, classifying into methods that improve the transient performance and methods that improve the steady-state performance, i.e., enable the operation in the overmodulation range. Time-optimal controllers (TOC) [3][4][5][6][7][8] reach the operating point in the shortest possible time and, therefore, improve the control dynamics to its maximum extent. During transients, the time-optimal stator voltages (input trajectories) in the statorfixed frame are constant, see [3,4].…”

Section: A State-of-the-art Techniquesmentioning

confidence: 99%

“…3 in [7]. To prevent these undesired characteristics, the TOC methods [6,7] are considering current and torque limits but are restricted to the linear modulation range. The deadbeat flux control (DBFC) proposed in [8] is to the authors' best knowledge the only TOC method that can reach the entire overmodulation range.…”

Section: A State-of-the-art Techniquesmentioning

confidence: 99%

“…with the pole pair number p. By linearizing (6) with respect to the current, the current-to-torque relation can be approximated by:…”

Section: B Discrete-time Pmsm Modelmentioning

confidence: 99%

See 2 more Smart Citations

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Constraints

Brosch¹,

Wallscheid²,

Böcker³

2023

Preprint

View full text Add to dashboard Cite

<p>Improving control dynamics and enabling maximum torque and power conversion for a given electrical drive are important target quantities of drive control algorithms. To utilize the electrical drive to its maximum extent during transient and steady-state operation, a time-optimal continuous-control-set model predictive flux control (CCS-MPFC) for permanent magnet synchronous motors (PMSM) is proposed. This scheme considers torque and current limits as softened state constraints in the CCS-MPFC’s optimization problem to prevent transient overcurrents as well as torque over- and undershoots during time-optimal operating point changes. Furthermore, the overmodulation range including six-step operation can be entered seamlessly to ensure maximum power conversion at high speeds. Fastest transients within the whole modulation range are enabled by a time-optimal harmonic reference generator (TO-HRG). Here, the flux reference of the CCS-MPFC is complemented with a harmonic content that enables operation in the overmodulation region. Further, the reference is pre-rotated during transient operation to attain time-optimal control performance. Extensive simulative as well as experimental investigations for linearly and nonlinearly magnetized PMSMs show that, compared to state-of-the-art methods, time-optimal control performance in the whole modulation range without transient overcurrents as well as torque over- and undershoots can be achieved by the proposed control method.</p>

show abstract

Section: A State-of-the-art Techniquesmentioning

confidence: 99%

Section: A State-of-the-art Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Constraints

Brosch¹,

Wallscheid²,

Böcker³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Here, the bisection method as numerical solver with a constant number of iterations per sampling instant can be applied [3]. For the rotating reference chase control (RRCC) method proposed in [6], one iteration to solve the TOC problem per sampling instant is executed based on the TOC solution of the previous sampling instant.…”

Section: A State-of-the-art Techniquesmentioning

confidence: 99%

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints

Brosch¹,

Wallscheid²,

Böcker³

2022

Preprint

View full text Add to dashboard Cite

<p>In various permanent magnet synchronous motor (PMSM) drive applications the torque dynamics are an important performance criterion. Here, time-optimal control (TOC) methods can be utilized to achieve highest control dynamics. Applying state-of-the-art TOC methods leads to unintended overcurrents and torque over- and undershoots during transient operation. To prevent these unintended control characteristics while still achieving TOC performance the time-optimal model predictive control (TO-MPC) is proposed in this work. The TO-MPC contains a reference pre-rotation (RPR) and a continuous control set model predictive flux control (CCS-MPFC). By applying Pontryagin's maximum principle, the TOC solution trajectories for states and inputs of the PMSM are determined neglecting current and torque limits. With the TOC solution, a flux linkage reference for the CCS-MPFC is calculated that corresponds to a pre-rotation of the operating point in the stator-fixed coordinate system. This pre-rotated flux linkage reference is reached in minimum time without overcurrents and torque over- as well as undershoots by incorporating current and torque limits as time-varying softened state constraints into the CCS-MPFC. Simulative and experimental investigations for linearly and nonlinearly magnetized PMSMs in the whole speed and torque range show that, compared to state-of-the-art TOC methods, overcurrents and torque over- as well as undershoots are prevented by the proposed TO-MPC.</p>

show abstract

“…Due to advantages including high dynamics, easy handing and easy understanding, model predictive control (MPC) strategy is highlighted and applied in power electronics and motor driving realm recent years [1][2][3]. MPC can be divided as continuous-control-set MPC (CCS-MPC) and finitecontrol-set MPC (FCS-MPC).…”

Section: Introductionmentioning

confidence: 99%

A Variable Prediction Horizon Self-Tuning Method for Nonlinear Model Predictive Speed Control on PMSM Rotor Position System

Wei

Gao

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Based on the receding horizon principle, cost function of nonlinear model predictive control (NMPC) becomes an accumulating type to extend prediction horizon. A nonlinear model predictive speed control (NMPSC) with prediction horizon self-tuning method is proposed in this paper, and applied into a permanent magnet synchronous motor (PMSM) rotor position control system with inner-loop of speed. The prediction horizon is improved as a positive integral discrete-time variable which needs to be adjusted according to operating states in each sampling period. Control performances such as rotor position and speed integral of time-weighted absolute value of errors (ITAEs), delay time and calculation burden are compared with the conventional control strategy, and advantages including ITAEs, delay time, weighting factor sensitivities and servo stiffness are obtained. The effectiveness and correctness are verified by simulation and experimental results.

show abstract

Rapid Torque Rising of PMSM by Directly Chasing Rotating Flux Linkage Vector

Cited by 14 publications

References 28 publications

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Constraints

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Constraints

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints

A Variable Prediction Horizon Self-Tuning Method for Nonlinear Model Predictive Speed Control on PMSM Rotor Position System

Contact Info

Product

Resources

About