Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm

Chen, Hansi; Zhao, Juanjuan; Wang, Hanming; Zhang, Qingfei; Luo, Xiangyu; Xu, Hao; Xiong, Yiyong

doi:10.1016/j.egyr.2022.09.098

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…The induction motor is one of the most commonly utilized motor types in high-efficiency drive applications, which requires full knowledge of some, if not all of the induction motor variables of the control schemes of drivers [41]. It is necessary to establish the equivalent circuit method of the machine and know the parameters of this model correctly in terms of detecting critical operating points of the machine, performance analysis, control, protection, malfunction, and operation [7].…”

Section: Structure and Equivalent Circuit Models Of Squirrel-cage Ind...mentioning

confidence: 99%

“…This improved the OOA's ability to exploit the local search and led to convergence towards superior solutions near the found solutions. Equation (41) was used in the OOA design to identify a new accidental situation for every swarm member as a "suitable situation for eating fish". This mimicked the ospreys' natural treatment.…”

Section: Stage 1: Positions' Identification and Fish Hunting (Explora...mentioning

confidence: 99%

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Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance

Gör

2024

Mathematics

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Industry is the primary application for induction machines. As such, it is essential to calculate the induction devices’ electrical properties accurately. With DC testing, no-load rotor tests, and locked rotor tests, one may empirically evaluate the electrical variables of induction motors. These tests are expensive and difficult to conduct, however. The information supplied by machine makers can also be used to accurately approximate the equivalent variables of the circuits in induction machines. This article has successfully predicted motor reactance (Xm) for both double- and single-cage models using artificial neural networks (ANN). Although ANNs have been investigated in the literature, the ANN structures were trained to use unmemorized training. Besides ANN, six other approaches have been suggested to address this issue: heap-based optimization (HBO), leagues championship algorithm (LCA), multi-verse optimization (MVO), osprey optimization algorithm (OOA), cuckoo optimization algorithm (COA), and sooty tern optimization algorithm (STOA). The efficaciousness of the suggested approaches was compared with each another. Regarding the obtained outcomes, the suggested MVO- multi-layer perceptron (MLP) technique performed better than the other five methods regarding reactance prediction, with R2 of 0.99598 and 0.9962, and RMSE of 20.31492 and 20.80626 in the testing and training phases, respectively. For the projected model, the suggested ANNs have produced great results. The novelty lies in the mentioned methods’ ability to tackle the complexities and challenges associated with induction motor reactance optimization, providing innovative approaches to finding optimal or near-optimal solutions. As researchers continue to explore and refine these techniques, their impact on motor design and efficiency will likely grow, driving advancements in electrical engineering.

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Section: Structure and Equivalent Circuit Models Of Squirrel-cage Ind...mentioning

confidence: 99%

Section: Stage 1: Positions' Identification and Fish Hunting (Explora...mentioning

confidence: 99%

Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance

Gör

2024

Mathematics

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“…Because of their capacity to create effective power at various speeds, induction generators are commonly utilized in wind turbines and some micro hydro systems, [4][5]. The connection of capacitor banks to the stator terminals, the rotor speed and the presence of the residual magnetic flux in the rotor iron are the necessary conditions for the selfstarting of a generator [6][7], because the latter does not generate its own excitation energy. In this context, the use of multiphase asynchronous machines turns out being one of the suggestions made to increase operational reliability.…”

Section: Introductionmentioning

confidence: 99%

Efficiency of a Six-Phase Induction Generator Employing a Static Excitation Controller to Generate AC Power for Wind Energy

Khlifi

BenSlimene

2023

IEEE Access

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The most widely applied six phase induction generator (SPIG) leads to insufficient frequency regulation ability of power system. A six phase induction generator (SPIG) Combined with appropriate capacitors and a motor, it produces an induction generator that is self-excited. The advantage of this generator, which has recently caught the interest of various experts, particularly in the field of wind energy, combines the advantages of multiphase devices. This study aims to offer a technique for regulating the voltage of a wind-powered SPIG. The methodology suggests two different compensation setups for (V-f) control, involving two switching capacitors. Different setups' performance constraints, controls, and features will be closely scrutinized and contrasted. The performance limits of the suggested system will be contrasted. to those of variable speed and variable capacity systems after being modelled and simulated. The results show that using the optimal capacitances for each configuration improves voltage and frequency regulation significantly. The preferable option, however, is short-shunt compensation since it regulates the output voltage and frequency with the fewest capacitances and the least amount of necessary duty fluctuation.INDEX TERMS Six phase induction generator, energy efficiency, performance characteristics, optimal capacitances, voltage control, self-excitation.

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“…Optimizing the winding structure of the stator geometry by analyzing the winding connections, pole numbers, and wire diameter with a finite element software may enhance the spindle motor's maximum torque and efficiency [5]. Previous research has successfully performed optimal design on stator configurations with various methods such as using response surface methodology (RSM) [5], multiobjective optimization [2], [6] and Ansys software [7], [8] to optimize the stator teeth width, yoke width, air-gap length, bore diameter, bridge distance, and slot openings. The subsequent stator winding design, which involves coil turns, winding configuration, and winding connection form for the high-efficiency motor was conducted by Rossi et al, [9].…”

Section: Introductionmentioning

confidence: 99%

“…While there are various other cage rotor slot configurations in use, high-speed spindle motors typically employ the closed rotor slot design. One advantage involves a lessening of mechanical issues brought on by extremely fast motors [4], [6]. In addition, it utilizes efficient use of the skin's impact to achieve targets related to performance, for instance increased starting torque and decreased starting electrical current.…”

Section: Introductionmentioning

confidence: 99%

Enhancements to the Work Ability of a High-Speed Motor Used in Machine Tools

Purwanto,

Herlambang,

Paboreal Dunque

et al. 2023

TEM Journal

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This paper presents a strategy for maximizing the effectiveness of high-speed spindle motors in manufacturing equipment. Using the ideal design of the stator winding geometry, as calculated by the Taguchi method, we were able to increase the maximum torque and efficiency. The rotor slot geometry was optimized using a response surface to raise the starting torque and reduce the starting current. The objectives of this investigation were to come up with a strategy for designing high-speed spindle motors so that they have better performance in terms of starting torque, maximum torque, efficiency, and starting current. Spindle motor temperature rise was the focus of the thermal measurements. Finally, a working spindle motor prototype was built and tested to verify the results of the Finite element analysis (FEA). The validity of the suggested model is demonstrated by a comparison between experimental measurements and finite element findings. The total percentage of mistakes was close to 2%.

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Multi-objective optimum design of five-phase squirrel cage induction motor by differential evolution algorithm

Cited by 6 publications

References 12 publications

Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance

Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance

Efficiency of a Six-Phase Induction Generator Employing a Static Excitation Controller to Generate AC Power for Wind Energy

Enhancements to the Work Ability of a High-Speed Motor Used in Machine Tools

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