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Electronics
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Advances in Control for Permanent Magnet Synchronous Motor (PMSM)
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Advances in Control for Permanent Magnet Synchronous Motor (PMSM)

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 4685

Special Issue Editors

Dr. Yuefei Zuo

E-Mail
Guest Editor
Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3TU, UK
Interests: power electronics; electrical machines and drives; advanced motor control stratege; aritificial intelligence (AI)
Dr. Xiaogang Lin

E-Mail Website
Guest Editor
Quanzhou Center of Equipment Manufacturing, Haixi Institute, Chinese Academy of Sciences, Jinjiang 362216, China
Interests: electrical machines and drive systems

Special Issue Information

Dear Colleagues,

A Permanent Magnet Synchronous Motor (PMSM) has been widely used in various applications, such as robotics, machine tools, actuators, servo systems, transportation electrification, wind power generation, etc. Control techniques play a key role in the PMSM drive systems. Current vector control (CVC) is suitable for surface-mounted PMSM (SPMSM) since flux-weakening is merely required and the electrical parameters of PMSM are nearly constant or slow-varying so that the torque and flux can be well-controlled using the current model. However, for interior PMSM (IPMSM), direct torque and flux control (DTFC) is more appropriate because the inductance is easily to vary with operating conditions. To improve the robustness to parameter variations, the voltage model or mixed model should be used for torque and flux observation. Moreover, the stator flux can be controlled directly using DTFC so that deep flux-weakening for IPMSM can be achieved easily. Nevertheless, there are a lot of restrictions on the actual control quantities, e.g., the maximum duty ratio is no more than 100%, torque or current should be limited for safety consideration, and switching loss is essential for high-power applications. Therefore, model predictive control becomes an emerging technique due to its ability to deal with multiple restrictions simultaneously. Nevertheless, the control performance of MPC relies on the accuracy of the mathematical model. To enhance the robustness, observers, such as disturbance observer and extended state observer, and model-free techniques, such as neural network and data-driven, can be employed. Nowadays, with the development of technology, requirements of stronger stability, higher reliability, higher efficiency, higher power density or torque density, higher dynamics, and lower cost become a challenge for existing control schemes. More efforts should be made to develop advanced control techniques for various kinds of applications.

This Special Issue is dedicated to collecting and sharing the latest research and the newest ideas from both industry and academia about the advanced control strategies for PMSM in different applications. Topic of interest include, but are not limited to:

  • Torque and flux control;
  • Speed and position control;
  • Sensorless control;
  • Information reconstruction;
  • Fault diagnosis and fault-tolerant control;
  • Model-free adaptive control;
  • Artificial intelligence and data-driven.

Dr. Yuefei Zuo
Dr. Xiaogang Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • active disturbance rejection control
  • adaptive control
  • artificial intelligence
  • current reconstruction
  • deadbeat control
  • direct torque and flux control
  • fault diagnosis
  • fault-tolerant control
  • flux weakening
  • harmonic utilization and suppression
  • maximum torque per ampere
  • model predictive control
  • neural network
  • overmodulation
  • parameter identification
  • sensorless control
  • sliding mode control

Published Papers (5 papers)

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Research

21 pages, 24912 KiB  
Article
Design of Fractional-Order Non-Singular Terminal Sliding Mode Observer Sensorless System for Surface-Mounted Permanent Magnet Synchronous Motor
by Guozhong Yao, Jinlong Gao, Jilin Lei, Shaojun Han and Yuhan Xiao
Electronics 2024, 13(8), 1601; https://doi.org/10.3390/electronics13081601 - 22 Apr 2024
Viewed by 397
Abstract
A new sensorless speed control system for a fractional-order terminal non-singular sliding mode surface-mounted permanent magnet synchronous motor is proposed. The fractional terminal non-singular sliding mode surface, which can converge in finite time, is designed by combining the fractional-order control theory with the [...] Read more.
A new sensorless speed control system for a fractional-order terminal non-singular sliding mode surface-mounted permanent magnet synchronous motor is proposed. The fractional terminal non-singular sliding mode surface, which can converge in finite time, is designed by combining the fractional-order control theory with the terminal attractor concept. Then, a new control rate is proposed to reduce system buffeting. Secondly, an adaptive back electromotive force filter is designed to reduce the harmonics in the sliding mode function estimation and improve the observation accuracy. In addition, the theoretical analysis of the designed system proves that the system can converge in a finite time. Then, a fraction-order phase-locked loop with variable factors is designed to make the system more capable of tracking the rotor. Finally, a simulation and experiment platform is built, and a comparison experiment is carried out, which proves that the designed algorithm has a stronger rotor position tracking ability and a better dynamic performance of the system. Full article
(This article belongs to the Special Issue Advances in Control for Permanent Magnet Synchronous Motor (PMSM))
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21 pages, 8717 KiB  
Article
Nonlinear Magnetic Model of IPMSM Based on the Frozen Permeability Technique Utilized in Improved MTPA Control
by Mladen Vučković, Vladimir Popović, Dejan Jerkan, Milica Jarić, Milica Banović, Veran Vasić and Darko Marčetić
Electronics 2024, 13(4), 673; https://doi.org/10.3390/electronics13040673 - 06 Feb 2024
Viewed by 806
Abstract
In this paper, the enhanced nonlinear magnetic model of the low voltage interior permanent magnet synchronous machine (IPMSM) is developed using the frozen permeability (FP) technique in finite element analysis (FEA) FEMM 4.2 software. The magnetic model is derived by obtaining flux saturation [...] Read more.
In this paper, the enhanced nonlinear magnetic model of the low voltage interior permanent magnet synchronous machine (IPMSM) is developed using the frozen permeability (FP) technique in finite element analysis (FEA) FEMM 4.2 software. The magnetic model is derived by obtaining flux saturation maps for a wide range of dq stator currents. Furthermore, the FEA FP technique accounts for the corresponding offset in the flux maps due to the excitation of the permanent magnets, and well as for fitting the coefficients for the curve-fitting procedure. In order to demonstrate the usefulness of the proposed magnetic model, a nonlinear control strategy based on the maximum torque per ampere (MTPA) optimal algorithm for IPMSM is employed. The magnetic model and the MTPA control strategy are validated through a variety of computer simulations based on FEMM 4.2 and MATLAB R2023a software, as well as on a real IPMSM electric vehicle (EV) traction drive experimental setup. Full article
(This article belongs to the Special Issue Advances in Control for Permanent Magnet Synchronous Motor (PMSM))
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18 pages, 5997 KiB  
Article
Direct Torque Control for Series-Winding PMSM with Zero-Sequence Current Suppression Capability
by Zhicong Su, Yuefei Zuo and Xiaogang Lin
Electronics 2023, 12(22), 4692; https://doi.org/10.3390/electronics12224692 - 18 Nov 2023
Viewed by 793
Abstract
The series-winding permanent-magnet synchronous motor (SW-PMSM) has the merits of high output power and excellent control performance, as does the open-winding permanent-magnet synchronous motor (OW-PMSM). Meanwhile, it can greatly reduce the number of power devices. However, due to the existence of the zero-sequence [...] Read more.
The series-winding permanent-magnet synchronous motor (SW-PMSM) has the merits of high output power and excellent control performance, as does the open-winding permanent-magnet synchronous motor (OW-PMSM). Meanwhile, it can greatly reduce the number of power devices. However, due to the existence of the zero-sequence path, zero-sequence current occurs, which can cause additional losses and torque ripples. Thus, this paper proposes a novel direct torque-control strategy for the SW-PMSM with zero-sequence current suppression capability (ZSCS-DTC). First, the series-winding topology (SWT) and the voltage vector distribution in the SW-PMSM drives are analyzed. Secondly, the basic DTC (B-DTC) scheme for the SW-PMSM is investigated, and the defects of zero-sequence current open-loop control in the B-DTC scheme are revealed. Thirdly, a new voltage vector synthesis scheme is proposed for suppression of zero-sequence current while ensuring bus voltage utilization. A switching table is reconstructed with the newly synthesized voltage vectors. On this basis, a ZSCS-DTC scheme for the SW-PMSM is proposed based on zero-sequence current closed-loop control so that electromagnetic torque, stator flux linkage and zero-sequence current can be controlled simultaneously. Finally, the effectiveness of the proposed ZSCS-DTC scheme for the SW-PMSM drives is verified. Full article
(This article belongs to the Special Issue Advances in Control for Permanent Magnet Synchronous Motor (PMSM))
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16 pages, 1572 KiB  
Article
Speed Estimation Strategy for Closed-Loop Control of PMSM Based on PSO Optimized KF Series Algorithms
by Tunzhen Xie, Xianglian Xu, Fang Yuan, Yuanqing Song, Wenyang Lei, Ruiqing Zhao, Yating Chang, Xinrui Wu, Ziqi Gan and Fangqing Zhang
Electronics 2023, 12(20), 4215; https://doi.org/10.3390/electronics12204215 - 11 Oct 2023
Cited by 1 | Viewed by 841
Abstract
In this paper, solving the problem of the noise covariance matrix parameters tuning of the extended Kalman filter (EKF) and unscented Kalman filter algorithms (UKF) is difficult. A speed estimation strategy for a permanent magnet synchronous motor (PMSM) based on particle swarm optimization [...] Read more.
In this paper, solving the problem of the noise covariance matrix parameters tuning of the extended Kalman filter (EKF) and unscented Kalman filter algorithms (UKF) is difficult. A speed estimation strategy for a permanent magnet synchronous motor (PMSM) based on particle swarm optimization (PSO) optimized Kalman filter (KF) series algorithms is proposed. By using MATLAB/Simulink, in this paper, 20 effective simulation experiments on the noise covariance matrix parameter optimization process are conducted to obtain the optimal covariance matrix parameters of the extended Kalman filter and unscented Kalman filter. Moreover, EKF, PSO-EKF, UKF, and PSO-UKF are also compared to verify the effectiveness of the particle swarm optimization algorithm in optimizing the systems using the extended Kalman filter and unscented Kalman filter. For the error of speed estimation, taking 4000 rpm as a reference, the system using PSO-EKF has improved by 2.125% compared to that using EKF, and the system applying PSO-UKF has improved by 0.55% compared to the system applying UKF. For the error of electrical angle estimation, taking the system errors of original algorithms as references, the system adopting PSO-EKF has decreased by 60% compared to that adopting EKF, and the system using PSO-UKF has decreased by 47% compared to the system using UKF. Full article
(This article belongs to the Special Issue Advances in Control for Permanent Magnet Synchronous Motor (PMSM))
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20 pages, 16074 KiB  
Article
A Fixed-Point Position Observation Algorithm and System-on-Chip Design Suitable for Sensorless Control of High-Speed Permanent Magnet Synchronous Motor
by Changjun He, Shiyun Xu, Bosong Yan, Zhenhua Wang and Mingjiang Wang
Electronics 2023, 12(14), 3160; https://doi.org/10.3390/electronics12143160 - 20 Jul 2023
Cited by 1 | Viewed by 1117
Abstract
In the sensorless control algorithm of permanent magnet synchronous motors (PMSMs), there is a significant research focus on developing a high-performance position observer and a cost-effective, high-performance processor specifically designed for PMSMs. In this paper, we first reviewed the current mainstream position observation [...] Read more.
In the sensorless control algorithm of permanent magnet synchronous motors (PMSMs), there is a significant research focus on developing a high-performance position observer and a cost-effective, high-performance processor specifically designed for PMSMs. In this paper, we first reviewed the current mainstream position observation algorithms. Subsequently, we proposed a position observation algorithm based on a fixed-point nonlinear flux linkage model that introduces a variable gain model and an observer compensation model. Furthermore, we implemented the improved position observation algorithm in the circuit and designed a System-on-Chip (SOC) suitable for the sensorless control of high-speed permanent magnet synchronous motors using the ARM Cortex-M0 core. The functionality of the proposed SOC was verified on the Field Programmable Gate Array (FPGA) platform. The results demonstrate that the improved algorithm offers an excellent angle observation accuracy and fast convergence speed. The error between the observed angle and the actual angle is less than 0.2 rad. Additionally, the designed SOC balances the high efficiency of hardware implementation with the flexibility of software implementation. When running a sensorless control algorithm for PMSM, it achieves a 30.3% increase in execution efficiency, enabling support for higher frequency output PWM switching and making it suitable for the high-precision control of high-speed PMSM. Full article
(This article belongs to the Special Issue Advances in Control for Permanent Magnet Synchronous Motor (PMSM))
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