Optimisation of double‐sided linear switched reluctance motor for mass and force ripple minimisation

Soltanpour, Mohammad Reza; Abdollahi, Hassan; Masoudi, Siamak

doi:10.1049/iet-smt.2018.5160

Cited by 8 publications

(7 citation statements)

References 30 publications

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“…Parameters and dimensions of the proposed LSRM are written in Table 1. These parameters are obtained and optimised in our previous work [4].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…We used a multi‐objective seeker optimisation algorithm for the optimisation problem. The multi‐objective optimisation function can be written as

f = min (}{, f_{0_1}, f_{0_2})

The optimisation algorithm has been described in [4] completely. Optimisation results for systems consisting of two and three translators in each MLSRM are demonstrated in Fig.…”

Section: Proposed Structurementioning

confidence: 99%

“…The main disadvantage of SRMs (or LSRMs) is their high torque (or force) ripple which may limit their applications. In recent decades many studies have been done to solve the problem either by motor design [2–4] or control methods [5–13]. It has been proven in some articles that using an appropriate force distribution function (FDF) in the LSRM control system can be very useful in force ripple minimisation [5–7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

New elevator system constructed by multi‐translator linear switched reluctance motor with enhanced motion quality

Masoudi

Mehrjerdi

Ghorbani

2020

IET Electric Power Applications

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In this work, a new elevator system created by a linear switched reluctance motor is presented. Unlike conventional linear motors, the proposed linear motor has more than one translator. Each phase in a translator generates a pulsing force; hence, the total generated force has noticeable ripple making it difficult to soft motion. In order to solve this problem, similar phases in different translators have been located in positions with specified distances together. As a result, similar force pulses would be shifted so that they can compensate together. An appropriate control strategy has been designed for the system, which can control the current, force, speed, and position simultaneously. A conventional proportional–integral controller and an adaptive fuzzy controller have been used to control the speed. In order to have a precise study, a prototype elevator system along with its control unit has been made and the obtained results have been compared with the simulation results. These results confirm that the proposed structure can significantly produce force and speed ripples.

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“…Parameters and dimensions of the proposed LSRM are written in Table 1. These parameters are obtained and optimised in our previous work [4].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…We used a multi‐objective seeker optimisation algorithm for the optimisation problem. The multi‐objective optimisation function can be written as

f = min (}{, f_{0_1}, f_{0_2})

The optimisation algorithm has been described in [4] completely. Optimisation results for systems consisting of two and three translators in each MLSRM are demonstrated in Fig.…”

Section: Proposed Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

New elevator system constructed by multi‐translator linear switched reluctance motor with enhanced motion quality

Masoudi

Mehrjerdi

Ghorbani

2020

IET Electric Power Applications

Self Cite

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“…In [178], an EA-based optimization algorithm was used to optimize the stator and translator pole width and height and stator yoke thickness of double-sided longitudinal-flux LSRM. The optimization objective was to achieve a low mass to force ratio and improve the force quality for verticalmotion applications.…”

Section: Geometry Optimization Of Srmsmentioning

confidence: 99%

Geometry and Topology Optimization of Switched Reluctance Machines: A Review

Abdalmagid

Sayed²,

Bakr

et al. 2022

IEEE Access

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Switched reluctance machines (SRMs) have recently attracted more interest in many applications due to the volatile prices of rare-earth permanent magnets (PMs) used in permanent magnet synchronous machines (PMSMs). They also have rugged construction and can operate at high speeds and high temperatures. However, acoustic noise and high torque ripples, in addition to the relatively low torque density, present significant challenges. Geometry and topology optimization are applied to overcome these challenges and enable SRMs to compete with PMSMs. Key geometric design parameters are optimized to minimize various objective functions within geometry optimization. On the other hand, the material distribution in a particular design space within the machine domain may be optimized using topology optimization. We discuss how these techniques are applied to optimize the geometries and topologies of SRMs to enhance machine performance. As optimizing the machine geometry and material distribution at the design phase is of substantial significance, this work offers a comprehensive literature review on the current state of the art and the possible trends in the optimization techniques of SRMs. The paper also reviews different configurations of SRMs and stochastic and deterministic optimization techniques utilized in optimizing different configurations of the machine.

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“…In Ref. [38], a double-sided LSRM was optimised for ripple and mass minimisation. Although many researchers have worked on improving the characteristics of LSRMs [37][38][39][40], very little research has been done on PM-assisted LSRMs.…”

Section: Introductionmentioning

confidence: 99%

Analysis of linear permanent magnet switched reluctance motors with modular and segmental movers

Ghaffarpour

Vatani

Kondelaji

et al. 2023

IET Electric Power Appl

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Here, the authors propose two new Permanent Magnet (PM) embedded linear switched reluctance motors; one is a modular linear hybrid reluctance motor (MLHRM), and the other one is a segmental linear hybrid reluctance motor (SLHRM). Both structures employ PMs between the side teeth of the modules/segments. The main contribution of the PMs is to increase the air‐gap flux density, which results in an enhanced thrust, and decrease the magnetic saturation in iron parts. The magnetic equivalent circuit model is used to demonstrate the positive effect of inserting PMs in the MLHRM and SLHRM compared to their PMless counterparts. The optimal pole number and design procedure are illustrated. The simulation results are obtained in terms of static thrust, flux linkage, flux density distributions, and steady‐state current and thrust. The results show that the proposed MLHRM and SLHRM offer a higher thrust and lower current compared to their PMless form. Also, the PMs decrease the root mean square (RMS) current under the steady‐state performance of the motors, in which a higher thrust is produced with a lower RMS current. Finally, the MLHRM and SLHRM are fabricated and the test results are obtained and compared with the simulations, which illustrate a satisfactory agreement.

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Optimisation of double‐sided linear switched reluctance motor for mass and force ripple minimisation

Cited by 8 publications

References 30 publications

New elevator system constructed by multi‐translator linear switched reluctance motor with enhanced motion quality

New elevator system constructed by multi‐translator linear switched reluctance motor with enhanced motion quality

Geometry and Topology Optimization of Switched Reluctance Machines: A Review

Analysis of linear permanent magnet switched reluctance motors with modular and segmental movers

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