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Experimental verification of Dead-Beat predictive current controller for small power, low speed PMSM

Ryszard Pałka Rafał Piotuch
Archives of Electrical Engineering | 2018 | vol. 67 | No 2
Keywords current controller PM motors dead-beat FEM efficiency map
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Abstract

This paper presents simulation and experimental results obtained with a Dead-Beat predictive current controller for a Permanent Magnet Synchronous Machine (PMSM) drive system. With means of combined field and circuit simulations, an efficiency map and required current in a direct- and quadrature-axis are defined. A control algorithm was implemented within an open-interface inverter from Texas Instruments. Dynamic response for both axis currents was defined and verified as well as current ripples for different set currents in the quadrature axis.
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Authors and Affiliations

Ryszard Pałka
Rafał Piotuch

Minimization current error area of the DC/AC inverter controlled by predictive current control method

A. Ruszczyk
Bulletin of the Polish Academy of Sciences Technical Sciences | 2006 | vol. 54 | No 3 | 279-285
Keywords DC/AC converter predictive current controller current error vector minimization
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Abstract

The predictive current controller of the DC/AC converter is presented in the article. The new expected converter current vector’s

locations can be evaluated due to the possibility of predicting the current vector’s change directions. An original method for the converter control was developed basing on the current vector changes analysis presented in this paper. This method enables to minimize the current vector error area and decrease the mean switching frequency. One of the advantages of the proposed control method is the possibility of the realization of the controller in the look-up table controller form. The results of laboratory tests proved the effectiveness of the proposed control method.

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Authors and Affiliations

A. Ruszczyk

Predictive current control for permanent magnet synchronous motor based on internal model control observer

Min'an Tang Chenyu Wang Yinhang Luo
Archives of Electrical Engineering | 2022 | vol. 71 | No 2 | 343-362 | DOI: 10.24425/aee.2022.140715
Keywords internal model control observer MPC PMSM predictive current control
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Abstract

The model predictive current control (MPCC) of the permanent magnet synchronous motor (PMSM) is highly dependent on motor parameters, and a parameter mismatch will cause the system performance degradation. Therefore, a strategy based on an internal model control (IMC) observer is proposed to correct the mismatch parameters. Firstly, based on the MPCC strategy of the PMSM, according to the dynamic model of the PMSM in a rotating orthogonal coordinate system, d-axis and q-axis current IMC observers are designed, and the stability derivation is carried out. It is proved that the observer can estimate d-axis and q-axis disturbance components caused by a parameter mismatch without static error. Then, the estimated disturbance component is compensated for by the reference voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system.
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Authors and Affiliations

Min'an Tang
1
Chenyu Wang
1
Yinhang Luo
1
ORCID: ORCID
  1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, China No. 88, Anning West Road, Anning District, Lanzhou City, Gansu Province, China

Spider monkey optimization (SMO) – lattice Levenberg–Marquardt recursive least squares based grid synchronization control scheme for a three-phase PV system

Dipak Kumar Dash Pradip Kumar Sadhu Bidyadhar Subudhi
Archives of Control Sciences | 2021 | vol. 31 | No 3 | 707-730 | DOI: 10.24425/acs.2021.138698
Keywords solar PV array VSC SMO DC-DC converter lattice Levenberg–Marquardt recursive least squares hysteresis current controller
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Abstract

This paper presents a new grid integration control scheme that employs spider monkey optimization technique for maximum power point tracking and Lattice Levenberg Marquardt Recursive estimation with a hysteresis current controller for controlling voltage source inverter. This control scheme is applied to a PV system integrated to a three phase grid to achieve effective grid synchronization. To verify the efficacy of the proposed control scheme, simulations were performed. From the simulation results it is observed that the proposed controller provides excellent control performance such as reducing THD of the grid current to 1.75%.
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Bibliography

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Authors and Affiliations

Dipak Kumar Dash
1
Pradip Kumar Sadhu
1
Bidyadhar Subudhi
2
  1. Department of Electrical Engineering, Indian Institute of Technology (ISM), Dhanbad, India
  2. School of Electrical Sciences, Indian Institute of Technology Goa, GEC Campus, Farmagudi, Ponda-401403, Goa, India

A model-free direct predictive grid-current control strategy for grid-connected converter with an inductance-capacitance-inductance filter

Leilei Guo Mingzhe Zheng Changzhou Yu Haizhen Xu Yanyan Li
Archives of Electrical Engineering | 2023 | vol. 72 | No 1 | 23-42 | DOI: 10.24425/aee.2023.143688
Keywords grid-connected converter (GCC) model-free predictive current control (MFPCC) parameter mismatch robustness
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Abstract

The disadvantages of the conventional model predictive current control method for the grid-connected converter (GCC) with an inductance-capacitance-inductance (LCL) filter are a large amount of calculation and poor parameter robustness. Once parameters of the model are mismatched, the control accuracy of model predictive control (MPC) will be reduced, which will seriously affect the power quality of the GCC. The article intuitively analyzes the sensitivity of parameter mismatch on the current predictive control of the conventional LCL-filtered GCC. In order to solve these issues, a model-free predictive current control (MFPCC) method for the LCL-filtered GCC is proposed in this paper. The contribution of this work is that a novel current predictive robust controller for the LCL-filtered GCC is designed based on the principle of the ultra-local model of a single input single output system. The proposed control method does not require using any model parameters in the controller, which can effectively suppress the disturbances of the uncertain parameter variations. Compared with conventional MPC, the proposed MFPCC has smaller current total harmonic distortion (THD). When the filter parameters are mismatched, the control error of the proposed method is smaller. Finally, a comparative experimental study is carried out on the platform of Typhoon and PE-Expert4 to verify the superiority and effectiveness of the proposed MFPCC method for the LCL-filtered GCC.
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Authors and Affiliations

Leilei Guo
1
Mingzhe Zheng
1
ORCID: ORCID
Changzhou Yu
2
Haizhen Xu
2
Yanyan Li
1
ORCID: ORCID
  1. Zhengzhou University of Light Industry, College of Electrical and Information Engineering, China
  2. Hefei University, School of Advanced Manufacturing Engineering, China

Grid-tied converter operated under unbalanced and distorted grid voltage conditions

A. Gałecki M. Michalczuk A. Kaszewski B. Ufnalski L.M. Grzesiak
Bulletin of the Polish Academy of Sciences Technical Sciences | 2020 | 68 | No. 2 (i.a. Special Section on Computational Intelligence in Communications) | 389-398 | DOI: 10.24425/bpasts.2020.133109
Keywords grid-tied converter AC/DC converter current controller resonant controller particle swarm optimization
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Abstract

The paper presents a three-phase grid-tied converter operated under unbalanced and distorted grid voltage conditions, using a multi-oscillatory current controller to provide high quality phase currents. The aim of this study is to introduce a systematic design of the current control loop. A distinctive feature of the proposed method is that the designer needs to define the required response and the disturbance characteristic, rather than usually unintuitive coefficients of controllers. Most common approach to tuning a state-feedback controller use linear-quadratic regulator (LQR) technique or pole-placement method. The tuning process for those methods usually comes down to guessing several parameters. For more complex systems including multi-oscillatory terms, control system tuning is unintuitive and cannot be effectively done by trial and error method. This paper proposes particle swarm optimization to find the optimal weights in a cost function for the LQR procedure. Complete settings for optimization procedure and numerical model are presented. Our goal here is to demonstrate an original design workflow. The proposed method has been verified in experimental study at a 10 kW laboratory setup.

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Authors and Affiliations

A. Gałecki
M. Michalczuk
A. Kaszewski
B. Ufnalski
L.M. Grzesiak

High quality repetitive control system for a grid-tied converter under distorted grid voltage conditions – design and implementation

Bartlomiej Ufnalski Andrzej Straś Lech M. Grzesiak
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 2 | e136739 | DOI: 10.24425/bpasts.2021.136739
Keywords AC/DC power converters current controller particle swarm optimization power quality repetitive control (RC)
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Abstract

The paper features a grid-tied converter with a repetitive current controller. Our goal here is to demonstrate the complete design workflow for a repetitive controller, including phase lead, filtering and conditional learning. All key parameters, i.e., controller gain, filter and fractional phase lead, are designed in a single optimization procedure, which is a novel approach. The description of the design and optimization process, as well as experimental verification of the entire control system, are the most important contributions of the paper. Additionally, one more novelty in the context of power converters is verified in the physical system – a conditional learning algorithm to improve transient states to abrupt reference and disturbance changes. The resulting control system is tested experimentally in a 10 kW converter.
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Authors and Affiliations

Bartlomiej Ufnalski
1
ORCID: ORCID
Andrzej Straś
1
ORCID: ORCID
Lech M. Grzesiak
1
ORCID: ORCID
  1. Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland

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