Modeling of a Field-Modulated Permanent-Magnet Machine

Li, Xianglin; Chau, K. T.; Wang, Yubin

doi:10.3390/en9121078

Cited by 9 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then the desired voltage vector is located in region 2 ; When the desired voltage vector satisfies: (24) Then the desired voltage vector is located in region 3 ; When the desired voltage vector is located in other regions, the calculation method is similar. Merely the region in the first quadrant needs calculating, for the other quadrants have a symmetric relationship with the first one.…”

Section: Of 15mentioning

confidence: 99%

See 1 more Smart Citation

Dual-Vector Predictive Torque Control of Permanent Magnet Synchronous Motors Based on a Candidate Vector Table

Shi

Yan

2019

Energies

View full text Add to dashboard Cite

In order to reduce the torque ripple of permanent magnet synchronous motors (PMSMs), this paper proposes a dual-vector predictive torque control strategy based on a candidate vector table. The main feature of this strategy is that two vectors are acted in a control period to form a vector combination, and the vector combination can be either an effective-zero combination or an effective-effective combination. In the process of establishing the vector combinations, the switching frequency is also taken into account, therefore avoiding a high switching frequency, while effectively reducing the motor torque ripple. The candidate vector table is constructed offline, and three sets of candidate vectors and their duty cycles can be determined by looking up the table. Then the cost function is used to screen the action vectors from the three sets candidate vectors, so the two vectors acted in one control period and their duty cycles can be obtained simultaneously. Finally, the feasibility and effectiveness of the proposed method are verified on a 5.2 kW two-level inverter-fed PMSM drive system.

show abstract

Section: Of 15mentioning

confidence: 99%

“…Permanent magnet synchronous motors (PMSMs) have the advantages of simple structure, reliable operation, high power density, and have been widely used in many industrial fields, such as aerospace, mechanical manufacturing, rail traffic and other industrial fields [1][2][3]. In recent years, PMSM research has gradually become a hot spot.…”

Section: Introductionmentioning

confidence: 99%

Dual-Vector Predictive Torque Control of Permanent Magnet Synchronous Motors Based on a Candidate Vector Table

Shi

Yan

2019

Energies

View full text Add to dashboard Cite

show abstract

“…A variety of drives are used in almost every industrial plant. A generalised electric drive consists of a drive motor, motion transmission system, loading system, and drive control system [1,2]. Each component has an impact on effective operations of the drive.…”

Section: Introductionmentioning

confidence: 99%

Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft

et al. 2020

View full text Add to dashboard Cite

Genetic algorithms are used to parameter identification of the model of oscillatory processes in complicated motion transmission of electric drives containing long elastic shafts as systems of distributed mechanical parameters. Shaft equations are generated on the basis of a modified Hamilton–Ostrogradski principle, which serves as the foundation to analyse the lumped parameter system and distributed parameter system. They serve to compute basic functions of analytical mechanics of velocity continuum and rotational angles of shaft elements. It is demonstrated that the application of the distributed parameter method to multi-mass rotational systems, that contain long elastic elements and complicated control systems, is not always possible. The genetic algorithm is applied to determine the coefficients of approximation the system of Rotational Transmission with Elastic Shaft by equivalent differential equations. The fitness function is determined as least-square error. The obtained results confirm that application of the genetic algorithms allow one to replace the use of a complicated distributed parameter model of mechanical system by a considerably simpler model, and to eliminate sophisticated calculation procedures and identification of boundary conditions for wave motion equations of long elastic elements.

show abstract

“…With the development of modern industry, the synchronous control of multi-motors has been widely used in robotics, electric vehicles, steel rolling, papermaking, and other fields [1][2][3][4][5][6][7][8]. Shortening the start-up time and improving the synchronization performance of multi-motors are of both theoretical and practical significance for enhancing the control accuracy and stability of the system [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Speed Synchronous Control of Multiple Permanent Magnet Synchronous Motors Based on an Improved Cross-Coupling Structure

2018

View full text Add to dashboard Cite

Abstract:Regarding the shortcomings of the cross-coupling control structure during the start-up of a multi-motor with load-namely, a large synchronization error and a long start-up time-this paper proposes a fuzzy self-adjusting cross-coupling control structure. This structure combines a fuzzy self-adjusting filter and an advanced synchronization compensator. The fuzzy self-adjusting filter adjusts the "softened speed", a newly established concept, so that each motor follows the trajectory of the softened speed during start-up, thus effectively reducing the synchronization error of the starting process. The advanced synchronization compensator is added to shorten the adjusting time of the motors. In addition, this paper analyzes the synchronization performance of the structure when the steady state is interrupted by a sudden step of load. Finally, this paper establishes an experimental platform for a synchronous speed control system for a permanent magnet synchronous motor, and verifies the effectiveness of the proposed structure and the correctness of the theoretical analysis through performing experiments.

show abstract

Modeling of a Field-Modulated Permanent-Magnet Machine

Cited by 9 publications

References 21 publications

Dual-Vector Predictive Torque Control of Permanent Magnet Synchronous Motors Based on a Candidate Vector Table

Dual-Vector Predictive Torque Control of Permanent Magnet Synchronous Motors Based on a Candidate Vector Table

Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft

Speed Synchronous Control of Multiple Permanent Magnet Synchronous Motors Based on an Improved Cross-Coupling Structure

Contact Info

Product

Resources

About