Stabilization and Speed Control of a Permanent Magnet Synchronous Motor with Dual-Rotating Rotors

Zhong, Yisheng; Huang, Shoudao; Luo, Derong

doi:10.3390/en11102786

Cited by 9 publications

(7 citation statements)

References 30 publications

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“…When developing a new manual manufacturing process for an electric machine, it is important to test the lifespan of the machines being built and, based on these findings, to define the right test approach [11,12]. The conclusions drawn from these lifespan and performance tests may be very useful in the specification of further modifications or optimization processes aimed at the development of a new electric motor prototype characterized by improved performance [9,[12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of Axial-Flux Permanent Magnet Motors from a Manual Manufacturing Process

Młot

González²

2020

Energies

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Implementation of a new design for the process of assembling an axial-flux permanent magnet synchronous motor (AF PMSM) may lead to unstable motor parameters during operation at low and high speeds. In this paper, experimental data related to the AFPMSM used in an electric traction motor was monitored. The paper presents tracing of machine performance in order to find quality-related issues and to evaluate the assembly process. To assess the manual manufacturing process (low-volume production) and electrical machine performance, several motors, characterized by the same size and topology, were extensively tested. Useful AF PMSM parameters such as continuous torque and continuous current were measured. The winding temperature of the stators was also monitored and carefully examined. An attempt to assess motor performance, based on measurements and aimed at the identification of the weakest parts of the electric motor design is presented. In this paper it can be seen how the subcomponents of the machine and its detailed assembly process and tolerances play key roles in achievement of the designed continuous performance with symmetrical temperature distribution in the stator winding. Selected conclusions drawn from the obtained measurements were explained by a rotor/stator misalignment study using 3-D finite element analysis.

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Section: Introductionmentioning

confidence: 99%

Performance Assessment of Axial-Flux Permanent Magnet Motors from a Manual Manufacturing Process

Młot

González²

2020

Energies

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“…There are three stages in a power system, generation, transmission, and distribution [1]. In generation, electric power is generated mostly from synchronous machines, which are very sensitive to disturbances [2]. Nowadays, power industries move towards deregulation and competition and electric power systems are becoming increasingly interconnected and sophisticated [3][4].…”

Section: Introductionmentioning

confidence: 99%

Rotor Angle and Voltage Stability Analysis with Fault Location Identification on the IEEE 9 Bus System

Khan

Hanif

Anwar

2020

Eng. Technol. Appl. Sci. Res.

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Transient stability is very imperative in multi-machine interconnected power systems in order to scrutinize and analyze the system’s performance and response. Rotor angle stability and voltage stability are studied in this paper. By applying three-phase symmetrical faults, the transient stability of the IEEE 9 bus system is studied. A characteristic double hump is analyzed in the response of the generator, which is nearer to the fault location. By analyzing the characteristic double hump, the fault location in a large interconnected power system can be determined. It is shown that, as the fault is cleared, the system takes some finite time to return to its prior state. IEEE 9 bus system is chosen as a test system, which standard parameters. MATLAB Simpower System toolbox is used for load flow and transient stability analysis.

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“…Motor control systems characterized with high-speed and high-efficiency are needed in centrifugal equipment and electric vehicles [1,2]. As an important part of the model parameters and motor losses, iron-loss (ILS) affects the flux observation [3], parameter identification [4], real-time torque and speed control [5], speed sensor less control [6] accuracy and efficiency optimal control [7,8], and, to some extent, performance.…”

Section: Introductionmentioning

confidence: 99%

Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives

Wang

Huai

et al. 2019

Energies

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In a variety of motor models, the effects of iron-loss (ILS) on motor control accuracy and efficiency are generally ignored. This makes it difficult for the motor control system to obtain accurate control parameters (especially on high speed and low load conditions), and limits the improvement of motor control accuracy. This paper aims to clarify the influence of different ILS modeling and observation methods on motor control performance. Three equivalent models of motors with iron losses are compared. These models are: A parallel model, a series model and the simplified traditional model. Three tests are conducted to obtain the effect of ILS perturbation on ILS estimation results, and then to derive the sensitivity of the motor state and torque to the perturbation. These test conditions include: Ideal no-load, heavy-load, locked-rotor, and ILS perturbations during speed regulation. Simulation results show that the impedance and excitation characteristics of the series model and the parallel model are similar, and the traditional model has the best speed regulation smoothness. The ILS estimation errors of the series model is nearly constant and easy to compensate. For accurate ILS observation results, the series model can achieve better control accuracy.

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Stabilization and Speed Control of a Permanent Magnet Synchronous Motor with Dual-Rotating Rotors

Cited by 9 publications

References 30 publications

Performance Assessment of Axial-Flux Permanent Magnet Motors from a Manual Manufacturing Process

Performance Assessment of Axial-Flux Permanent Magnet Motors from a Manual Manufacturing Process

Rotor Angle and Voltage Stability Analysis with Fault Location Identification on the IEEE 9 Bus System

Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives

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