Design optimization of permanent magnet synchronous motors for high torque capability and low magnet volume

Vaez‐Zadeh, Sadegh; Ghasemi, Abdolrasoul

doi:10.1016/j.epsr.2004.11.008

Cited by 39 publications

(26 citation statements)

References 9 publications

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“…Other approaches and analytical calculations use magnetic equivalent circuit [15]- [16]. Besides to electromagnetic analysis, thermal study is another feature, which is generally implemented with lumped-parameter thermal networks [17]- [18].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization design and performance evaluation of slotted Halbach PMSM using Monte Carlo method

et al. 2017

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This paper proposes the optimized design of the permanent magnet synchronous motor (PMSM) based on the analysis of radial-flux permanent magnet motor with minimum weight, maximum efficiency and an increased torque. The rotor of the PMSM uses segmented permanent magnets mounted on the surface. The achievement of the method involves four steps. Firstly, the simplified motor model is presented in a manner which yields symbolic solution for optimal motor parameters as a function of mass. Secondly, Monte Carlo method is employed to compute optimal motor dimensions giving efficiency, torque and optimal motor active mass. Then, the steady state characteristics of the optimized primary optimized design obtained in the last step are calculated and compared to satisfy the flux condition. Finally, the performance of the optimized machine has been calculated by using 2D transient finite-element analysis (FEA). Subsequently, the model mesh and the boundary conditions were handled and presented. According to the obtained results, the essential purpose of the work has been reached, the weight has been reduced by 24%, the efficiency was improved by 8% and the rated torque by 40%. The proposed design approach has also the advantage for its significant time reduction of the design cycle.

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Section: Introductionmentioning

confidence: 99%

Multi-objective optimization design and performance evaluation of slotted Halbach PMSM using Monte Carlo method

et al. 2017

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“…simpler winding distribution and more fault tolerance [1]. As a result, these machines are a practical option…”

mentioning

confidence: 99%

“…where i d1 (k+2) norm is stator current value in the case of operating under normal conditions, and 1 …”

mentioning

confidence: 99%

Predictive current control of outer-rotor five-phase BLDC generators applicable for off-shore wind power plants

Martinez¹,

Arashloo²,

Salehifar³

et al. 2015

Electric Power Systems Research

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Abstract-Model predictive control algorithms have recently gained more importance in the field of ١٥ wind power generators. One of the important categories of model predictive control methods is improved ١٦ deadbeat control in which the reverse model of generator is used to calculate the appropriate inputs for the ١٧ next iteration of controlling process. In this paper, a new improved deadbeat algorithm is proposed to ١٨ control the stator currents of an outer-rotor five-phase BLDC generator. Extended Kalman filter is used in ١٩ the estimation step of proposed method, and generator equations are used to calculate the appropriate generators, brushless direct current (BLDC) generators have the advantage of higher torque density, ٣٢simpler winding distribution and more fault tolerance [1]. As a result, these machines are a practical option ٣٣for low-maintenance and high power applications such as off-shore wind power farms. Several methods ٣٤are proposed in literature to have a better control on stator phase currents of BLDC generators. ٣٥Among these algorithms, model predictive control (MPC) has become a suitable option recently. MPC ٣٦concept is easy to understand, and various constraints and nonlinearities can be directly included in its ٣٧ structure. Moreover, the resulting controller is easy to implement [2], [3]. These types of controllers can be ٣٨ effectively implemented in generator controlling algorithm because linear models of BLDC generators are ٣٩quite well known and developed through analytical methods. ٤٠In the field of generator power control, MPC algorithms can be generally divided into two main systems such as PM drives [6]. Considering the finite amount of possible switching states in the converter ٤٧ unit, this type of control algorithm is also famous as "finite set model predictive control" (FS-MPC). ٤٨On the other hand, the second group can be considered as an extension of traditional field-oriented ٤٩ control of generator. In this group, the inner PI controllers are removed and replaced by predictive ٥٠controllers. Moreover, reverse model of generator is used to calculate appropriate reference voltages, and a ٥١modulator is usually used to generate the computed reference voltages [7]. ٥٢Model predictive control has also been examined successfully in the case of multiphase generators [8]. ٥٣Comparing to standard three-phase generators, multi-phase structure of a BLDC generator results in of system states a fault detection and isolation algorithm is developed in [14]. As the mathematical model ٦٨of BLDC generator is sufficiently well developed, EKF is ideally suited for the case of five-phase BLDC ٦٩generator applications. ٧٠In this paper, extended Kalman filter based predictive deadbeat control (EKF-PDC) is developed for ٧١ five-phase BLDC generator. Proposed controlling algorithm includes two main steps namely "current ٧٢ estimation step" and "voltage application step". EKF is developed for five-phase BLDC generator, and is ٧٣executed during "current estimation step" to reduce the effect of ...

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“…Axial flux machines have been used in the both low speed direct drive and high speed flywheel applications. Radial flux machines have been also considered for hybrid electric vehicle [17][18][19].…”

Section: Mathematical Mode Of Pmsmmentioning

confidence: 99%

Decoupled Fuzzy Sliding Mode Control for a Synchronous Motor Speed Control

Abdelsalam¹,

Areed²

2012

IJCA

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This paper introduces a new technique for controlling the speed of Permanent Magnet Synchronous Motor (PMSM). This technique depends on two well known control methods; the first control method is known the variable structure system (VSS), which has a main advantage known as an sliding mode property. The second method depends on fuzzy logic control. A combination between the two mentioned above methods is suggested in this paper. In addition for simplifying the suggested technique, the model of PMSM is decoupled. Simulation results illustrate the validity and the effectiveness of the new suggested technique.

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Design optimization of permanent magnet synchronous motors for high torque capability and low magnet volume

Cited by 39 publications

References 9 publications

Multi-objective optimization design and performance evaluation of slotted Halbach PMSM using Monte Carlo method

Multi-objective optimization design and performance evaluation of slotted Halbach PMSM using Monte Carlo method

Predictive current control of outer-rotor five-phase BLDC generators applicable for off-shore wind power plants

Decoupled Fuzzy Sliding Mode Control for a Synchronous Motor Speed Control

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