scholarly journals A General Double Vector-Based Model Predictive Current Control for the Dual Three-Phase Motors

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2000
Author(s):  
Qingqing Yuan ◽  
Ting Ma ◽  
Renji Zhao ◽  
Yumei Yang
Keyword(s):  
Duty Cycle ◽  
Control Period ◽  
Current Control ◽  
Control Performance ◽  
Delay Compensation ◽  
Voltage Vector ◽  
Three Phase ◽  
Speed Range ◽  
Full Speed ◽  
The Cost

Traditional model predictive current control (MPCC) for motors can only choose one optimal voltage vector during one control period, which creates problems of over-regulation or under-regulation for the current tracking. With zero vectors being injected in the chosen optimal voltage vector, the traditional MPCC can obtain better performance, which is called duty cycle MPCC. However, whether the traditional or the duty cycle MPCC is being applied to multiphase motors, it is more difficult for the phase to increase. In this paper, a general double vector-based MPCC mechanism has been studied for a dual three-phase permanent synchronous motor (PMSM) with dual Y shift 30° windings used in aerospace propulsion. Firstly, the choosing range of the second voltage vector in duty cycle MPCC was extended to an arbitrary vector; then, the cost function was rationally designed, and the delay compensation was added to improve the control performance as well. Compared with the traditional or duty cycle MPCC, this general double vector-based MPCC has better torque performance and fewer total harmonic distortions in the full speed range and under different load conditions.

Enhanced Model Predictive Current Control Based on Runge–Kutta Approximation for a Voltage Source Inverter

2019 ◽  
Vol 20 (4) ◽  
Author(s):  
Shahrouz Ebrahimpanah ◽  
Qihong Chen ◽  
Liyan Zhang
Keyword(s):  
Duty Cycle ◽  
Control Period ◽  
Sampling Frequency ◽  
Current Control ◽  
Voltage Source ◽  
Discrete Time System ◽  
Voltage Vector ◽  
Runge Kutta ◽  
Current Error ◽  
The Cost

Abstract This paper proposes a model predictive current control (MPCC) method with duty cycle control based on the Runge–Kutta approximation compared to the Forward Euler Approximation for grid-connected three-phase inverters with output LCL filter. Hence, results of proposed MPCC methods alongside of the conventional MPCC have been investigated to find the best strategy. First, all 7 possible switching states have been checked by the discrete-time system model based on two approximation methods to select a state that minimizes the cost function. However, at this stage only one voltage vector is chosen during one control period, which cannot decrease the current ripples to a minimum value. Hence, for having sufficient performance, the sampling frequency is necessary to be selected high. Then, the idea of duty cycle optimization has been introduced by using two voltage vectors (a non-zero and a zero voltage vector) during one control period. Therefore, the duration of two voltage vectors have been defined according to the principle of current error minimization. Finally, the effectiveness of the proposed MPCC method based on the Runge–Kutta approximation has been verified by MATLAB/Simulink and experimental results exhibit a better steady-state performance with less sampling frequency as compared to the conventional strategy.

scholarly journals Model Predictive Current Control Strategy with Reduced Computation Burden

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jie Yuan ◽  
Dingdou Wen ◽  
Yang Zhang
Keyword(s):  
Steady State ◽  
Duty Cycle ◽  
Dynamic Performance ◽  
Current Control ◽  
Computational Burden ◽  
The Third ◽  
Voltage Vector ◽  
Control Scheme ◽  
The Cost ◽  
Steady State Performance

In this paper, three model predictive current control (MPCC) schemes for permanent magnet synchronous motors (PMSM) are studied. The first control scheme is the traditional optimal duty cycle model predictive current control (ODC-MPCC). In this scheme, according to the principle of minimizing the cost function, the optimal voltage vector is selected from the six basic voltage vectors which are optimized simultaneously with the duty, and then, the optimal voltage vector and its duty are applied to the inverter. In order to reduce the computational burden of ODC-MPCC, a second control scheme is proposed. This scheme optimizes the voltage vector control set, reducing the number of candidate voltage vectors from 6 to 2. Finally, according to the principle of minimizing the cost function, the optimal voltage vector is found from the two voltage vectors, and the optimal voltage vector and its duty cycle are applied to the inverter. In addition, in order to further improve the steady-state performance, another vector selection method is introduced. In the combination of voltage vectors, the third control scheme extends the combination of voltage vectors in the second control scheme. The simulation results show that the second control scheme not only reduces the computational burden of the first control scheme but also obtains steady-state performance and dynamic performance equivalent to the first control scheme. The third control scheme obtains better steady-state performance without significantly increasing the computational burden and has dynamic performance comparable to the first and second control schemes.

scholarly journals Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7292
Author(s):  
Tianjiao Luan ◽  
Zhichao Wang ◽  
Yang Long ◽  
Zhen Zhang ◽  
Qi Li ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Current Control ◽  
Vector Model ◽  
Permanent Magnet Synchronous Machine ◽  
Control Performance ◽  
Voltage Vector ◽  
Three Phase ◽  
Tracking Ability ◽  
Zero Vector

This paper proposes a multi-virtual-vector model predictive control (MPC) for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which aims to regulate the currents in both fundamental and harmonic subspace. Apart from the fundamental α-β subspace, the harmonic subspace termed x-y is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of x-y currents is of paramount importance to improve control performance. In order to take into account both fundamental and harmonic subspaces, this paper presents a multi-virtual-vector model predictive control (MVV-MPC) scheme to significantly improve the steady performance without affecting the dynamic response. In this way, virtual vectors are pre-synthesized to eliminate the components in the x-y subspace and then a vector with adjustable phase and amplitude is composed of two effective virtual vectors and a zero vector. As a result, an enhanced current tracking ability is acquired due to the expanded output range of the voltage vector. Lastly, both simulation and experimental results are given to confirm the feasibility of the proposed MVV-MPC for DTP-PMSM.

Delay Compensation in Model Predictive Current Control of a Three-Phase Inverter

2012 ◽  
Vol 59 (2) ◽  
pp. 1323-1325 ◽  
Author(s):  
Patricio Cortes ◽  
Jose Rodriguez ◽  
Cesar Silva ◽  
Alexis Flores
Keyword(s):  
Current Control ◽  
Delay Compensation ◽  
Phase Inverter ◽  
Three Phase ◽  
Three Phase Inverter

scholarly journals A finite set-model predictive control based on FPGA flatform for eleven-level cascaded H-Bridge inverter fed induction motor drive

2021 ◽  
Vol 12 (2) ◽  
pp. 845
Author(s):  
Mai Van Chung ◽  
Do Tuan Anh ◽  
Phuong Vu
Keyword(s):  
Model Predictive Control ◽  
Induction Motor ◽  
Predictive Control ◽  
Control Method ◽  
Dynamic Responses ◽  
Delay Compensation ◽  
Voltage Vector ◽  
Finite Control ◽  
Finite Set ◽  
The Cost

Model predictive control has been considered as a powerful alternative control method in power converters and electrical drives recently. This paper proposes a novel method for finite control set predictive control algorithm foran induction motor fed by 11-level cascaded H-Bridge converter. To deal with the high computation volume of MPC algorithm applied for CHBconverter, 7-adjacent vectors method is applied for calculating the desired voltage vector which minimizes the cost function. Moreover, by utilizingfield programmable gate array (FPGA) platform with its flexible structure,the total execution time reduces considerably so that the selected voltage vector can be applied immediately without delay compensation. This method improves the dynamic responses and steady-state performance of the system. Finally, experimental results verify the effectiveness of control design

scholarly journals Comparison of Voltage-Vector Control based on Duty Cycle Analysis in Three-Phase Four-Leg System Active Filter

2016 ◽  
Vol 6 (4) ◽  
pp. 1395
Author(s):  
Indriarto Yuniantoro ◽  
Rudy Setiabudy ◽  
Ridwan Gunawan
Keyword(s):  
Vector Control ◽  
Duty Cycle ◽  
Active Filter ◽  
Control Technique ◽  
Boundary Line ◽  
Reference Vector ◽  
Voltage Vector ◽  
Duration Time ◽  
Three Phase

Comparison of voltage vector control in various forms of tetrahedron that result from switching combination on three-phase four-leg system active filter is presented especially asymmetric tetrahedron shape which is a projection pqr-coordinate into αβ0-coordinate. Parameter tetrahedrons such as modulation boundary-line, reference vector, switching duration time and duty cycle are described. Duty cycle analysis conducted on the Shen’s model, the Zhang’s model, the Perales’s model and asymmetric’s model are presented. The characteristics results showed that switching combination of each IGBT conductor especially its reviews on the neutral wire. Asymmetric tetrahedron can be proposed as control technique in three-phase four-leg system active filter.

scholarly journals Harmonic Current Suppression of Dual Three-Phase PMSM Based on Model Predictive Direct Torque Control

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bicheng Lei ◽  
Lingwei Wu ◽  
Zhiming Lin ◽  
Pan Mei
Keyword(s):  
Direct Torque Control ◽  
Torque Control ◽  
Vector Group ◽  
Harmonic Current ◽  
Loop Control ◽  
Harmonic Currents ◽  
Voltage Vector ◽  
Three Phase ◽  
The Cost ◽  
Spatial Distribution Characteristic

The traditional direct torque control (DTC) method will produce a larger harmonic current in the x, y subspace when applied to a dual three-phase permanent magnet synchronous machine (DTP-PMSM) because the voltage vector used for DTC is not equal to zero in the x, y harmonic subspace. To mitigate this problem, in this manuscript, a model predictive direct torque control (MPDTC) method is proposed to eliminate the harmonic current in DTP-PMSM. The spatial distribution characteristic DTP-PMSM voltage vector is analyzed; then, the table of vector group can be obtained according to DTC, and each vector group can be combined to obtain the zero-voltage vector in the x, y subspace. According to the cost function, MPDTC selects the vector group and obtains the optimal vector sequence combination to eliminate the harmonic current in the x, y subspace. Furthermore, the MPDTC achieves closed-loop control of harmonic currents in the x, y subspace. The MPDTC can also eliminate harmonic currents caused by other factors. The simulation results show that the method of MPDTC can effectively suppress the harmonic current of DTP-PMSM.

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