Efficiency and Cost Optimized Design of an Induction Motor Using Genetic Algorithm

Mallik, Srikumar; Mallik, Kaushik; Barman, Amal; Maiti, Dipten; Biswas, Sujit K.; Deb, Nirmal K.; Basu, Sujay

doi:10.1109/tie.2017.2703687

Cited by 59 publications

(32 citation statements)

References 12 publications

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“…Inspired by previous studies [15], the proposed GA gives a specific value of weighting factor λ 1 and λ 2 , which has disadvantages in balancing the two objectives to make the best effect. In the next step, we will make joint efforts to combine related methods to design useful and effective weighting factors, in order to balance the stroke difference and arm difference.…”

Section: Discussionmentioning

confidence: 99%

“…This hierarchical optimization method based on GA is very interesting and useful, and can increase the computational efficiency of fitness value in the future. Srikumar Mallik [15] showed how one can optimize the design of a three-phase squirrel cage induction motor, and achieved a more efficient and cost-optimized design of an induction motor based on GA. This study balanced the two objectives (efficiency and cost) to make the best effect, which gives us important guidance on how to achieve a multi-objective optimization.…”

Section: Introductionmentioning

confidence: 99%

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Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Zhou

Liu

2018

Algorithms

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Two cylinders arranged symmetrically on a frame have become a major form of steering mechanism for articulated off-road vehicles (AORVs). However, the differences of stroke and arm lead to pressure fluctuation, vibration noise, and a waste of torque. In this paper, the differences of stroke and arm are reduced based on a genetic algorithm (GA). First, the mathematical model of the steering mechanism is put forward. Then, the difference of stroke and arm are optimized using a GA. Finally, a FW50GLwheel loader is used as an example to demonstrate the proposed GA-based optimization method, and its effectiveness is verified by means of automatic dynamic analysis of mechanical systems (ADAMS). The stroke difference of the steering hydraulic cylinders was reduced by 92% and the arm difference reached a decrease of 78% through GA optimization, in comparison with unoptimized structures. The simulation result shows that the steering mechanism optimized by GA behaved better than by previous methods.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Zhou

Liu

2018

Algorithms

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“…Since the rotating speed of the motors decrease slightly with the increased air gap lengths for each stator winding, the maximum reduction of the output power of the motor with each stator winding is less than 4 W by increasing the air gap length. Therefore, the output powers for the motors with stator winding #1, #2, #3 and #4 are approximately 10.98, 11.02, 11.04 and 11.03 kW. Figure 8 compares the losses of the induction motor with stator windings and various air gap lengths.…”

Section: Full-load Performancementioning

confidence: 99%

“…These methods either rise the raw material cost or increase manufacturing complexity. Although geometry optimization techniques [10][11][12][13][14][15][16] can be used to increase the efficiency of induction motors without increasing the active materials, this technique ends up producing a different design from the original one. Consequently, a new stator and rotor punching mold is required and additional cost results.…”

mentioning

confidence: 99%

A Hybrid Methodology for Analyzing the Performance of Induction Motors with Efficiency Improvement by Specific Commercial Measures

Lee

Kirtley

et al. 2019

Energies

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This paper presents a hybrid methodology to analyze the commercial measures of changing stator windings and adjusting air gap length to upgrade efficiency of typical three-phase direct-on-line induction motors with die-cast copper rotor (DCR). The calculation is carried out through combining the time-stepping and time-harmonic finite element analysis (FEA) and the circuit equivalent circuit model. Typical full-load performance of stator windings with different air gap lengths are computed by MATLAB invoking the 2D transient and eddy current field analysis in ANSYS/MAXWELL. Then, MATLAB scripts about post-processing of the FEA results are used to obtain the full-load running performance including the loss distribution and circulating current. The MATLAB scripts of circuit model built based on the FEA results is used to compare the overload and starting performance. After that, four stators with the four windings and three DCRs with different air gap of an 11 kW motor are fabricated and tested to validate the calculations. By comparing results from both calculations and measurements, it is shown that the factors of stator windings and air gap length can effectively improve the efficiency of the 11 kW DCR induction motor without the addition of extra materials. The motor with the 11/12 pitch Y-∆ series winding and 0.6 mm air gap has the best performance, in terms of efficiency, overloading capability and starting performance. Its efficiency can increase from 90% to the highest 92.35% by sole adjustment of stator winding and air gap length.Many technical measures have been investigated for improving the efficiency of induction motors. The higher efficiency can usually be achieved by increasing the active materials, such as increasing the stack length [5,6], in induction motors. Another measure of upgrading materials such as premium electrical grade lamination steel is used for decreasing core losses and Ohmic losses [6][7][8].The efficiency can also be improved by enhancing the performance of cooling and bearing systems to reduce the mechanical losses [7] and improving cooling performance to make Ohmic losses less significant [9]. These methods either rise the raw material cost or increase manufacturing complexity. Although geometry optimization techniques [10][11][12][13][14][15][16] can be used to increase the efficiency of induction motors without increasing the active materials, this technique ends up producing a different design from the original one. Consequently, a new stator and rotor punching mold is required and additional cost results. It can be seen that in practice these measures can only be used to design a new motor, therefore many manufacturers have paid more attention to ways of increasing the efficiency of their induction motors with the least cost. That means the techniques should change construction or parameters of the existing motors as little as possible. Die-cast copper rotor (DCR) technology that involves the development of heated nickel-base alloy dies presents a potential route to design hi...

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“…However, the number of arrangement patterns of the permanent magnets is very enormous, and it is difficult to experimentally obtain a more effective arrangement. Therefore, we focused on genetic algorithm (GA) which is one of optimization algorithms effective for nonlinear objective function [6], which is used to obtain optimum shape of electrical motor in several studies [7,8]. Furthermore, we confirmed that the GA we used to obtain the optimal placement of permanent magnets, considering the interactions of the magnets with each other, improved the levitation stability of the system [9,10].…”

Section: Introductionmentioning

confidence: 99%

Effect of Optimal Placement of Permanent Magnets on the Electromagnetic Force in the Horizontal Direction

et al. 2018

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The surface quality of steel plates is deteriorated as they contact rollers while being conveyed during manufacturing processes. To solve this problem, we previously proposed a hybrid electromagnetic levitation system comprising electromagnets, permanent magnets, and a horizontal positioning control system for steel plates. Moreover, to increase stability, we proposed integrating these levitation systems. In this study, we aim to determine the optimal placement of permanent magnets in the levitation system to suppress the deflection of a levitated steel plate for cases where the magnetic field in the horizontal direction changes. Using a genetic algorithm, the optimal gap, number, and placement of permanent magnets in the system are obtained.

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Efficiency and Cost Optimized Design of an Induction Motor Using Genetic Algorithm

Cited by 59 publications

References 12 publications

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

A Hybrid Methodology for Analyzing the Performance of Induction Motors with Efficiency Improvement by Specific Commercial Measures

Effect of Optimal Placement of Permanent Magnets on the Electromagnetic Force in the Horizontal Direction

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