Analytical Model for the Design of Axial Flux Induction Motors with Maximum Torque Density

Baranov, Georgii D.; Zolotarev, Alexander V.; Ostrovskii, Valerii Y.; Каримов, Тимур; Voznesensky, A. S.

doi:10.3390/wevj12010024

Cited by 9 publications

(5 citation statements)

References 21 publications

(35 reference statements)

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“…The commonly-used IM models concerning electrical properties include flux model and current model [36]. Considering that the currents, rather than the flux, can usually be measured to construct different control strategies in real applications, this paper uses the state-space current model to describe the general behaviors of the system.…”

Section: Modelling For Im Fcs-mptcmentioning

confidence: 99%

Ripple Attenuation for Induction Motor Finite Control Set Model Predictive Torque Control Using Novel Fuzzy Adaptive Techniques

et al. 2021

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Finite control set model predictive torque control (FCS-MPTC) strategy has been widely used in induction motor (IM) control due to its fast response characteristic. Although the dynamics of the FCS-MPTC method are highly commended, its steady-state performance—ripple deserves attention in the meantime. To improve the steady-state performance of the IM drives, this paper proposes an improved FCS-MPTC strategy, based on a novel fuzzy adaptive speed controller and an adaptive weighting factor, tuning strategy to reduce the speed, torque and flux ripples caused by different factors. Firstly, a discrete predicting plant model (PPM) with a new flux observer is established, laying the ground for achieving an FCS-MPTC algorithm accurately. Secondly, after analyzing the essential factors in establishing a fuzzy adaptive PI controller, with high ripple suppression capacity, an improved three-dimensional controller is designed. Simultaneously, the implementation procedures of the fuzzy adaptive PI controller-based FCS-MPTC are presented. Considering that a weighting factor must be employed in the cost function of an FCS-MPTC method, system ripples increase if the value of the weighting factor is inappropriate. Then, on that basis, a novel fuzzy adaptive theory-based weighting factor tuning strategy is proposed, with the real-time torque and flux performance balanced. Finally, both simulation and hardware-in-loop (HIL) test are conducted on a 1.1 kW IM drive to verify the proposed ripple reduction algorithms.

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Section: Modelling For Im Fcs-mptcmentioning

confidence: 99%

Ripple Attenuation for Induction Motor Finite Control Set Model Predictive Torque Control Using Novel Fuzzy Adaptive Techniques

et al. 2021

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“…A feed-forward controller based on an analytical representation of a permanent magnet synchronous motor (PMSM) was developed with the goal of addressing the torque ripple problem of direct torque control, which is caused by the spatial harmonics as well as magnetic saturation characteristics of PMSM [16,17]. In [18], an axial flux induction motor (AFIM) with a single stator and rotor is mathematically modeled. The model depends on the electromagnetic torque equation, which depicts the relationship between two independent variables: the flux density in the air gap and the axial length of the stator core.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Conventional IPMSM and NCPM Based IPMSM

Jonnalagadda,

Tammminana,

Guntu

et al. 2023

Clean Technol.

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This paper proposes a NCPM (Nano-composite coated permanent magnets)-based IPMSM (Interior Permanent Magnet Synchronous Motor) electric drive system, especially applicable for electric vehicles (EV). For an EV, an increase in the “T/A (torque per ampere)” condition is highly recommended, as it directly affects the maximum distance run by EV on a single charge. Due to NCPM, a substantial increase in magnetic flux intensity, resistance to corrosion and Curie temperature are observed. As a result, the proposed drive clearly exhibits a higher power to weight ratio. Also, it is capable of delivering higher T/A to the drive system without any considerable change in two important factors of EV: (1) mass and volume of the drive system (2) battery capacity of the drive system. Moreover, NCPM performance is less susceptible to temperature variation, which makes it an appropriate candidate for vehicular applications, where temperature inconsistency could be a common issue during working conditions. Also, NCPM-based IPMSM offers a quicker speed response than conventional IPMSM, thus providing higher acceleration, which is one of the important performance factors for vehicular applications. A vector controlled mathematical model of IPMSM and NCPM-based IPMSM is tested for various speed commands. Also, the NCPM-based IPMSM, in the proposed configuration, is fed from a three-level DCMLI (diode clamped multi-level inverter), as the drive system is considered for medium to high power applications. A comparative performance analysis is carried out between the proposed drive system and a conventional IPMSM-based drive system using MATLAB/SIMULINK to indicate the efficacy of the proposed configuration.

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“…These special electrical systems offer several substantial advantages in comparison with conventional three-phase electric drives, such as a smaller torque ripple [1], a better fault tolerance [2] and a lower per-phase current rating for the same phase voltage [3]. As a consequence of these suitable features, several research groups are focused on the improvement of the multiphase machine design, using for that purpose modern optimisation techniques [4][5][6]. On the other hand, high-performance control techniques are also required to exploit the benefits of multiphase electric drives [1][2][3]7].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response in Multiphase Electric Drives: Control Performance and Influencing Factors

et al. 2022

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Speed variable electric drives play a key role in the evolution of electrical mobility. The dynamic performance of these systems is a crucial feature for security purposes. For this reason, a large number of works are focused on identification of the most appropriate control technique to satisfy a transient scenario. In this regard, the dynamic abilities of linear and direct controllers were analysed for three-phase drives. Although some insights about their transient performance were obtained, there are yet some issues to be solved. For instance, speed response was typically omitted, some influencing factors were neglected or the multiphase case was carried out. Considering this information, this work proposes a comparative analysis of the dynamic performance of the most popular regulation strategies for a six-phase electric drive. This study analyses speed, current and voltage responses to achieve an overall view of the system performance. Two concepts were employed to simplify the comprehension of the dynamic behavior of a regulation strategy: reaction time and response capacity. Experimental results are employed to confirm the impact of the different agents on a transient situation.

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Analytical Model for the Design of Axial Flux Induction Motors with Maximum Torque Density

Cited by 9 publications

References 21 publications

Ripple Attenuation for Induction Motor Finite Control Set Model Predictive Torque Control Using Novel Fuzzy Adaptive Techniques

Ripple Attenuation for Induction Motor Finite Control Set Model Predictive Torque Control Using Novel Fuzzy Adaptive Techniques

Performance Analysis of Conventional IPMSM and NCPM Based IPMSM

Dynamic Response in Multiphase Electric Drives: Control Performance and Influencing Factors

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