Application of Surrogate Optimization Routine with Clustering Technique for Optimal Design of an Induction Motor

Balasubramanian, A. R.; Martin, Floran; Billah, Sk Masum; Osemwinyen, Osaruyi; Belahcen, Anouar

doi:10.3390/en14165042

Cited by 6 publications

(4 citation statements)

References 28 publications

(34 reference statements)

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“…Surrogate-assisted optimizations have also been performed for electric motors and power converters. In [38] a second order polynomial surrogate model was used for an induction machine, and in [39] a Kriging model for a permanent magnet synchronous motor, to improve their electromagnetic efficiencies. Regarding the power converters, in [40] a neural network was used for efficiency improvements, and in [41] surrogate global optimization was performed for configuration enhancements.…”

Section: B Data-driven Modelingmentioning

confidence: 99%

A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems

2023

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This paper presents a comprehensive literature review of the state-of-the art modeling and optimization methods for the power and propulsion systems of ships. Modeling is a tool to investigate the performance of actual systems by running simulations in the virtual world. There are two main approaches in modeling: physics-based and data-driven, which are both covered in detail in this survey paper. The output from the simulations might not be optimal in terms of certain performance criteria such as energy consumption, fuel cost etc. Hence, it is vital to optimize the systems considering the efficient interaction between the components, to yield the optimal performance for the integrated vessel's powertrain. In this paper, the optimization case studies, for the ship energy systems, will be divided in terms of a) optimal design (topology and sizing), b) optimal control and energy management strategies, c) combined optimal design and control. Tables that summarize the literature review outcomes will also be presented at the end of each section. The main outcome is that limited literature is available for optimizations of ship powertrains using datadriven models, especially surrogate models. Surrogate-assisted optimizations for integrated ship energy systems can yield optimal solutions at fast computational speeds, with sufficient accuracy, even for complex, nested, multi-level, multi-objective optimizations.

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Section: B Data-driven Modelingmentioning

confidence: 99%

A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems

2023

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“…A new surrogate optimization routine for the design of a direct online (DOL) squirrel cage induction motor is proposed by Aswin Balasubramanian et al [2]. The motor geometry is optimized to maximize its electromagnetic efficiency while respecting its constraints, such as the output power and the power factor.…”

Section: A Short Review Of the Contributions In This Issuementioning

confidence: 99%

Magnetic Material Modelling of Electrical Machines

Belahcen

Pires

2023

Energies

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“…That is very important if the low-frequency operation is one of the rated operating states of the drive, such as in industrial washing machine drives. Optimization increasing the efficiency can be obtained through its efficiency measurement and control, ensuring optimal efficiency or at the design stage [8]. However, this solution requires the use of current and voltage converters and, as a result, a significant expansion of the drive system [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Increase the Efficiency of an Induction Motor Feed from Inverter for Low Frequencies by Combining Design and Control Improvements

et al. 2022

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Speed-controlled induction motors have the most significant potential for energy savings. The greatest problems with obtaining high efficiency occur in motors with a wide range of rotational speed regulation, as in the motors for driving industrial washing machines under consideration. While for the highest speeds, the dominant phenomenon is at field weakening. The problem is obtaining the optimal size of the magnetic flux for low rotation speed to prevent excessive saturation increasing current, and reduction of efficiency. This problem is usually solved by selecting the appropriate control for an already built machine. The authors propose a combination of activities when designing the motor structure with the selection of proper control, which allows for high efficiency. Since the drive does not require precise speed control or obtaining the required dynamics, it was possible to use an inexpensive control in an open loop, avoiding the cost of transmitters. Furthermore, the number of design parameters that are subject to change is significantly limited by technological factors and the available space in the washing machine. Proper parameter selection was made using a peripheral method assisted by field-circuit simulations. The proposed approach can be used in designing structures and selecting motors controls for other applications.

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Application of Surrogate Optimization Routine with Clustering Technique for Optimal Design of an Induction Motor

Cited by 6 publications

References 28 publications

A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems

A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems

Magnetic Material Modelling of Electrical Machines

Increase the Efficiency of an Induction Motor Feed from Inverter for Low Frequencies by Combining Design and Control Improvements

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