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CES Transactions on Electrical Machines and Systems
Number of Followers: 1  Open Access journalISSN (Online) 2096-3564 Published by IEEE  [228 journals]
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PubDate: MON, 03 JUL 2023 10:03:33 -04
Issue No: Vol. 7, No. 2 (2023)
- IGBT Temperature Field Monitoring Based on Reduced-order Model
Authors: Ziyu Zhou;Yi Sui;Xu Zhang;Chengde Tong;Ping Zheng;Mingjun Zhu;
Pages: 129 - 136
Abstract: With the rapid development of the world economy, IGBT has been widely used in motor drive and electric energy conversion. In order to timely detect the fatigue damage of IGBT, it is necessary to monitor the junction temperature of IGBT. In order to realize the fast calculation of IGBT junction temperature, a finite element method of IGBT temperature field reduction is proposed in this paper. Firstly, the finite element calculation process of IGBT temperature field is introduced and the linear equations of finite element calculation of temperature field are derived. Temperature field data of different working conditions are obtained by finite element simulation to form the sample space. Then the covariance matrix of the sample space is constructed, whose proper orthogonal decomposition and modal extraction are carried out. Reasonable basis vector space is selected to complete the low dimensional expression of temperature vector inside and outside the sample space. Finally, the reduced-order model of temperature field finite element is obtained and solved. The results of the reduced order model are compared with those of the finite element method, and the performance of the reduced-order model is evaluated from two aspects of accuracy and rapidity.
PubDate: TUE, 17 JAN 2023 10:01:24 -04
Issue No: Vol. 7, No. 2 (2023)
- Systematic Evaluation of Deep Neural Network Based Dynamic Modeling Method
for AC Power Electronic System
Authors: Yunlu Li;Guiqing Ma;Junyou Yang;Yan Xu;
Pages: 137 - 143
Abstract: Since the high penetration of renewable energy complicates the dynamic characteristics of the AC power electronic system (ACPES), it is essential to establish an accurate dynamic model to obtain its dynamic behavior for ensure the safe and stable operation of the system. However, due to the no or limited internal control details, the state-space modeling method cannot be realized. It leads to the ACPES system becoming a black-box dynamic system. The dynamic modeling method based on deep neural network can simulate the dynamic behavior using port data without obtaining internal control details. However, deep neural network modeling methods are rarely systematically evaluated. In practice, the construction of neural network faces the selection of massive data and various network structure parameters. However, different sample distributions make the trained network performance quite different. Different network structure hyperparameters also mean different convergence time. Due to the lack of systematic evaluation and targeted suggestions, neural network modeling with high precision and high training speed cannot be realized quickly and conveniently in practical engineering applications. To fill this gap, this paper systematically evaluates the deep neural network from sample distribution and structural hyperparameter selection. The influence on modeling accuracy is analyzed in detail, then some modeling suggestions are presented. Simulation results under multiple operating points verify the effectiveness of the proposed method.
PubDate: TUE, 17 JAN 2023 10:01:24 -04
Issue No: Vol. 7, No. 2 (2023)
- Fault Detection for Motor Drive Control System of Industrial Robots Using
CNN-LSTM-based Observers
Authors: Tao Wang;Le Zhang;Xuefei Wang;
Pages: 144 - 152
Abstract: The complex working conditions and nonlinear characteristics of the motor drive control system of industrial robots make it difficult to detect faults. In this paper, a deep learning-based observer, which combines the convolutional neural network (CNN) and the long short-term memory network (LSTM), is employed to approximate the nonlinear driving control system. CNN layers are introduced to extract dynamic features of the data, whereas LSTM layers perform time-sequential prediction of the target system. In terms of application, normal samples are fed into the observer to build an offline prediction model for the target system. The trained CNN-LSTM-based observer is then deployed along with the target system to estimate the system outputs. Online fault detection can be realized by analyzing the residuals. Finally, an application of the proposed fault detection method to a brushless DC motor drive system is given to verify the effectiveness of the proposed scheme. Simulation results indicate the impressive fault detection capability of the presented method for driving control systems of industrial robots.
PubDate: MON, 30 JAN 2023 10:11:02 -04
Issue No: Vol. 7, No. 2 (2023)
- Winding Function Theory Based Thrust Calculation on Nested-loop Secondary
Linear Machine Adapted to Linear Metro
Authors: Yaping Zhang;Jian Ge;Wei Xu;Hao Tang;Yang Gao;Xiaoliang Chen;Shihu Su;Zhen Bao;
Pages: 153 - 162
Abstract: With advantages of strong drive capability, nested-loop secondary linear machine (NLS-LM) has great potentiality in linear metro. For its secondary structure with multiple loops, it is difficult to calculate the electromagnetic thrust of NLS-LM reasonably. Hence, in this paper, one thrust calculation method is proposed considering variable loop inductance and transient loop current. Firstly, to establish the secondary winding function, the modeling domain is confined to a limited range, and the equivalent loop span is employed by analyzing the coupling relationship between primary and secondary. Then, in order to obtain the secondary flux density, the transient secondary current is solved based on the loop impedance and induced voltage. Finally, the electromagnetic thrust can be calculated reasonably by the given primary current sheet and the calculated secondary flux density. Comprehensive simulations and experiments have demonstrated the effectiveness of the proposed method.
PubDate: MON, 03 JUL 2023 10:03:33 -04
Issue No: Vol. 7, No. 2 (2023)
- An Analytic Method of Segmented PWM Duty Cycle for Switched Reluctance
Motor
Authors: Chaozhi Huang;Yuliang Wu;Hongwei Yuan;Wensheng Cao;Yongmin Geng;
Pages: 163 - 170
Abstract: In view of the large current peak and torque ripple in the actual current chopping control of switched reluctance motor, a segmented PWM duty cycle analysis method of switched reluctance motor based on current chopping control is proposed in this paper. The method realizes the control of the winding current by adjusting the average voltage of the two ends of the winding in one cycle through the PWM duty cycle. At the same time, according to the inductance linear model, the conduction phase is divided into a small inductance region and an inductance rising region, and the analytical formulas of PWM duty cycle in the two regions are deduced respectively. Finally, through matlab/simulink simulation and motor platform experiment, the current chopping control is compared with the segmented PWM duty cycle analysis method in this paper. Simulation and experimental results show that the segmented PWM duty cycle analysis method can effectively reduce the current peak and torque ripple, and has high practical application value.
PubDate: TUE, 17 JAN 2023 10:01:24 -04
Issue No: Vol. 7, No. 2 (2023)
- Speed Regulation Method Using Genetic Algorithm for Dual Three-phase
Permanent Magnet Synchronous Motors
Authors: Xiuhong Jiang;Yuying Wang;Jiarui Dong;
Pages: 171 - 178
Abstract: Dual three-phase Permanent Magnet Synchronous Motor (DTP-PMSM) is a nonlinear, strongly coupled, high-order multivariable system. In today's application scenarios, it is difficult for traditional PI controllers to meet the requirements of fast response, high accuracy and good robustness. In order to improve the performance of DTP-PMSM speed regulation system, a control strategy of PI controller based on genetic algorithm is proposed. Firstly, the basic mathematical model of DTP-PMSM is established, and the PI parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm, and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK. The simulation results show that, compared with the traditional PI control, the proposed algorithm significantly improves the performance of the control system, and the speed output overshoot of the GA-PI speed control system is smaller. The anti-interference ability is stronger, and the torque and double three-phase current output fluctuations are smaller.
PubDate: MON, 30 JAN 2023 10:11:02 -04
Issue No: Vol. 7, No. 2 (2023)
- Permanent Magnet Assisted Synchronous Reluctance Motor with Asymmetric
Rotor for High Torque Performance
Authors: Chengwu Diao;Wenliang Zhao;Yan Liu;Xiuhe Wang;
Pages: 179 - 186
Abstract: Permanent magnet assisted synchronous reluctance motor (PMA-SynRM) is a kind of high torque density energy conversion device widely used in modern industry. In this paper, based on the basic topology of PMA-SynRM, a novel PMA-SynRM of asymmetric rotor with position-biased magnet is proposed. The asymmetric rotor design with position-biased magnet realizes the concentration of magnetic field lines in the motor air gap to obtain higher electromagnetic torque, and makes both of magnetic and reluctance torque obtain the peak value at the same current phase angle. The asymmetric rotor configuration is theoretically illustrated by space vector diagram, and the feasibility of high torque performance of the motor is verified. Through the finite element simulation, the effect of the side barrier on output torque and the Mises stress under the rotor asymmetrical design are analyzed. Then the motor characteristics including airgap flux density, back EMF, magnetic torque, reluctance torque, torque ripple, losses, and efficiency are calculated for both the basic and proposed PMA-SynRMs. The results show that the proposed PMA-SynRM has higher torque and efficiency than the basic topology. Moreover, the torque ripple of the proposed PMA-SynRM is reduced by the method with harmonic current injection, and the torque characteristics in the whole current cycle are analyzed. Finally, the endurance to avoid PM demagnetization is confirmed based on the PM remanence calculation.
PubDate: MON, 30 JAN 2023 10:11:02 -04
Issue No: Vol. 7, No. 2 (2023)
- Research on Cogging Force Suppression for Toroidal PMLSM Based on
Disturbance Observer
Authors: Rongtao Zeng;Jinghong Zhao;Sinian Yan;Yinhao Mao;
Pages: 187 - 192
Abstract: For a new type of toroidal permanent magnet linear motor(TPMLSM), this paper analyzes the thrust fluctuation in the constant acceleration operation of the motor from the Angle of the cogging force of the linear motor. For the motor whose structure has been determined and processed, the structural parameters of the motor cannot be changed, and its performance cannot be improved from the perspective of the motor body. Therefore, this paper tries to consider the influence of the cogging force on the normal operation of the motor from the perspective of control. In this paper, starting from the body structure of motor, first on the annular linear motor of the cogging force characteristics were extracted, and its expression is obtained by Fourier decomposition, then investigated considering the cogging force and does not consider the cogging force control of motor model, it can be seen that the control performance deteriorates significantly after considering cogging force of the motor, and the acceleration fluctuation increases significantly during the operation of the motor. On this basis, disturbance observation algorithm is introduced, and feedforward compensation is carried out by extracting the characteristic values of the disturbance model. The results show that the disturbance observer can suppress the thrust fluctuation caused by the motor cogging force to a large extent, and it can reduce the peak-to-peak value of the thrust fluctuation by more than 85% during the motor acceleration operation.
PubDate: MON, 30 JAN 2023 10:11:02 -04
Issue No: Vol. 7, No. 2 (2023)
- Design of Rotor Magnetic Barrier Structure of Built-in Permanent Magnet
Motor Based on Taguchi Method
Authors: Shengnan Wu;Xianwen Pang;Wenming Tong;Yingcong Yao;
Pages: 193 - 201
Abstract: In this paper, a 20kW vehicle built-in permanent magnet synchronous motor is taken as an example, and a magnetic barrier structure is added to the rotor of the motor to solve the uneven saturation problem of the rotor side magnetic bridge. This structure improves the air-gap flux density waveform of the motor by influencing the internal magnetic flux path of the motor rotor, thus improving the sine of the no-load back EMF waveform of the motor and reducing the torque ripple of the motor. At the same time, Taguchi method is used to optimize the structural parameters of the added magnetic barrier. In order to facilitate the analysis of its uneven saturation phenomenon and improve the optimization effect, a simple equivalent magnetic network (EMN) model considering the uneven saturation of rotor magnetic bridge is established in this paper, and the initial values of optimization factors are selected based on this model. Finally, the no-load back EMF waveform distortion rate, torque ripple and output torque of the optimized motor are compared and analyzed, and the influence of magnetic barrier structure parameters on the electromagnetic performance of the motor is also analyzed. The results show that the optimized motor can not change the output torque of the motor as much as possible on the basis of reducing the waveform distortion rate of no-load back EMF and torque ripple.
PubDate: WED, 24 MAY 2023 10:01:57 -04
Issue No: Vol. 7, No. 2 (2023)
- Design and Optimization of Interior Permanent Magnet (IPM) Motor for
Electric Vehicle Applications
Authors: Lavanya Balasubramanian;Nurul Azim Bhuiyan;Asad Javied;Ashraf A. Fahmy;Fawzi Belblidia;Johann Sienz;
Pages: 202 - 209
Abstract: This paper explores some design parameters of an interior permanent magnet synchronous motor that contribute to enhancing motor performance. Various geometry parameters such as magnet dimension, machine diameter, stator teeth height, and number of poles are analyzed to compare overall torque, power, and torque ripples in order to select the best design parameters and their ranges. Pyleecan, an open-source software, is used to design and optimize the motor for electric vehicle applications. Following optimization with Non-dominated Sorting Genetic Algorithm (NSGA-II), two designs A and B were obtained for two objective functions and the corresponding torque ripples values of the design A and B were later reduced by 32% and 77%. Additionally, the impact of different magnet grades on the output performances is analyzed.
PubDate: TUE, 06 JUN 2023 10:02:16 -04
Issue No: Vol. 7, No. 2 (2023)
- Torque Improvement of Spoke-type Permanent Magnet Motor with Auxiliary
Stator Using Harmonic Current Control Strategy
Authors: Hao Wu;Wenliang Zhao;Zheng Li;Xiuhe Wang;
Pages: 210 - 217
Abstract: The spoke-type permanent magnet motor with auxiliary stator exhibits high torque performance owing to the flux focus effects. To further improve its torque density, this paper proposes a control method by using harmonic current strategy. Based on the theoretical analysis, a 3-D torque look-up table by $dq$-axis current and electrical angle is established with the aid of the finite element method (FEM). The maximum torque per ampere curve at each rotor position is identified and summarized to adequately indicate the relationship between torque and current amplitude of the motor. Through theoretical derivation, it is concluded that the minimum torque cost curve is the contour line of $\partial T_{\pmb{e}}/\partial i^{2}$, which can be employed to identify the harmonic current for torque density improvement. Compared to traditional strategies, the proposed control strategy can increase torque density of forward and reverse torque by 1.22% and 1.40%, respectively. The experimental results verify the analysis and simulation results, as well as prove the effectiveness of the proposed strategy.
PubDate: MON, 30 JAN 2023 10:11:02 -04
Issue No: Vol. 7, No. 2 (2023)
- Research on Magnetically Coupled Resonant Detection Method for Breakpoint
of Four Mesh Grounding Grid
Authors: Weihua Chen;Shuai Wang;Xiaoheng Yan;Zhiquan Ye;
Pages: 218 - 228
Abstract: Magnetically coupled resonant technology is a novel method for solving the breakpoint locating of power grounding grid. But the method can only detect breakpoints of a single mesh grounding grid at present. In this paper, a magnetically coupled resonant detection method for four-hole grounding grid breakpoint is proposed. Firstly, the equivalent circuit model of the four mesh grounding grid with two types of breakpoints, namely edge branch and intermediate branch, is established. The input impedance and phase angle of the system are obtained by analyzing the equivalent capacitance and equivalent resistance in the model. Secondly, the magnetically coupled resonant physical process of grounding grid faults is solved via HFSS software. The magnetic field intensity and phase frequency characteristic curves of four mesh holes with different branches and positions of breakpoints and different corrosion degrees are studied, and an experimental system is built to verify the feasibility. The results show that under the condition of grounding grid buried depth of 0.5 m and input frequency of 1∼15MHz, and there is an inverse relationship between equivalent capacitance and distortion frequency, the phase angle is positively correlated with the degree of corrosion of grounding grid, and the error of signal distortion frequency can be positioned at 5%. This paper provides some ideas for the application of magnetic coupling grounding grid detection technology.
PubDate: WED, 10 MAY 2023 10:01:49 -04
Issue No: Vol. 7, No. 2 (2023)
- Cyber-physical Modeling Technique based Dynamic Aggregation of Wind Farm
Considering LVRT Characteristic
Authors: Guiqing Ma;Yunlu Li;Junyou Yang;Bing Wu;
Pages: 229 - 236
Abstract: With the increasing penetration of wind power, large-scale integrated wind turbine brings stability and security risks to the power grid. For the aggregated modeling of large wind farms, it is crucial to consider low voltage ride-through (LVRT) characteristics. However, in aggregation methods, the approximate neglect behavior is essential, which leads to inevitable errors in the aggregation process. Moreover, the lack of parameters in practice brings new challenges to the modeling of a wind farm. To address these issues, a novel cyber-physical modeling method is proposed. This method not only overcomes the aggregation problem under the black-box wind farm but also accurately realizes the aggregation error fitting according to the operation data. The simulation results reveal that the proposed method can accurately simulate the dynamic behaviors of the wind farm in various scenarios, whether in LVRT mode or normal mode.
PubDate: MON, 30 JAN 2023 10:11:02 -04
Issue No: Vol. 7, No. 2 (2023)
