Design Of Induction Motor Research Articles

Induction Motor Geometric Parameter Optimization Using a Metaheuristic Optimization Method for High-Efficiency Motor Design

In this study, the optimum design for an induction motor (IM) was realized by providing details of its geometric design. The IM optimization was carried out using the Artificial Ecosystem-based Optimization (AEO) algorithm, a metaheuristic method. The AEO algorithm was used for the first time in IM optimization, and the design parameters were optimized. Ten motor design parameters were used as design variables. IM efficiency was improved, as the objective function. The genetic algorithm (GA) optimization method was used for comparison with the results obtained with the AEO method. The optimized and unoptimized results of the IM design generated with codes created in the Matlab program were verified with the Ansys RMxprt program, and it could be seen that the results are in good agreement. As a result of these studies, it was observed that the use of AEO in determining the geometric parameters of the IM had better convergence accuracy and reached the optimum result in a shorter time compared to the GA optimization method. It was observed that IM efficiency increased from 90.34% to 91.575% on average with the AEO method.

Cost-effective IE2 high-efficiency single-phase induction motor design and prototyping

Cost-effective IE2 high-efficiency single-phase induction motor design and prototyping

Design and Research on the Variable Polar Distance of the Double-Sided Linear Induction Motor for Electromagnetic Catapult

According to the special technical requirements of carrier-based aircraft catapults, this paper describes the design of a variable pole distance bilateral linear induction motor. When the traditional constant pole motor is used as the catapult of carrier-based aircraft, the current frequency continues to increase during the catapult process, which greatly aggravates the burden of the motor. Therefore, we propose a variable pole length primary double-sided linear induction motor structure. Compared with the traditional constant pole motor structure, this structure can gradually increase the pole distance with an increase in speed when the current frequency remains unchanged. In contrast, the variable pole distance method with a current frequency of 200 Hz has a pole distance of 0.262 m when the displacement is 10 m, and the pole distance increases to 0.352 m when the displacement is 100 m. By maintaining a constant current frequency, this method effectively reduces the control complexity at high speed. Through the theoretical analysis and research calculation conducted on the designed motor, a finite element simulation model was also established by ANSYS 14.0, and the influence of the change in the pole distance on the performance of the motor was analyzed. The magnetic field line and magnetic density distribution of the motor are simulated and analyzed, and the validity of the theoretical calculation is verified.

Modeling and design of linear induction motors using a reluctance network method

The methods of modeling and designing of Linear Induction Motors (LIM) are considered as the most important element of competition among manufacturers of this category of motors. Although, the majority of manufacturers employ finite element-based methods to achieve more accurate design. However, these methods still suffer from a longer computation time. Moreover, the Finite Element Method (FEM) require very significant and expensive computing equipment. Researchers have been created a number of analysis techniques to solve this conundrum and expedite computation, but the accuracy of the findings is still below acceptable bounds. In this work, we propose the modeling and design of the LIM using the Reluctance Network Method (RNM) in order to reduce the calculation time and improve the accuracy of the results. sing the COMSOL Multiphysics software, a comparative analysis with the FEM is introduced in order to verify the outcomes of the previous one. Compared to finite elements, the results enabled a computation time reduction of 27 hours. The proposed RNM-based methodology demonstrates the potential to enhance the speed and accuracy of LIM modeling and design, which could provide a competitive advantage for manufacturers in the industry. The enhanced analysis provides a more comprehensive interpretation of the results, highlighting both the technical achievements and practical implications of using RNM for LIM modeling. The key takeaway is that while RNM shows slightly lower accuracy compared to FEM (87% vs 88%), it offers a significant advantage in computation time (77% reduction) while maintaining acceptable accuracy for practical applications.

Analisis Pengaruh Desain Kumparan 6-Fasa Terhadap Torsi Dan Kecepatan Motor Induksi 3-Fasa Berbasis Desain 3 Fasa Ganda Tak Simetris

This study aims to examine the impact of a 6-phase design using an asymmetrical dual 3-phase design on the torque and speed of an induction motor, where the newly designed motor still uses a 3-phase power source. The research compares the performance of a conventional 3-phase induction motor with that of an asymmetrical 6-phase induction motor design, focusing on torque and speed. This motor is only designed in terms of its windings, so the motor's position remains unchanged. The 3-phase system applied to the 6-phase induction motor design ensures that the 6-phase motor operates within a 3-phase system. The study also explores performance improvements, particularly in torque and speed, by redesigning the windings of a 3-phase induction motor into an asymmetrical 6-phase motor. The induction motor used in this research has the following specifications: 3-phase, 2 A, 1390 RPM, 50Hz, 0.75 kW, and 380Y. The study aims to understand the effects of the asymmetrical 6-phase induction motor design, particularly regarding torque and speed. The results show that the torque and speed of the two motors differ due to the asymmetrical 6-phase winding design. In a conventional 3-phase induction motor, the winding coil layer distance is 120°, whereas, in the asymmetrical 6-phase induction motor, the distance between the first and second layers is 30°. Based on this analysis, the asymmetrical 6-phase induction motor design demonstrates better performance compared to the conventional 3-phase induction motor.

Analisa Pengaruh Desain Motor Induksi “6 Fasa 2 Lapis Tak Simetris” Terhadap Torsi Dan Kecepatan Motor Induksi 3 Fasa Menggunakan Metode Elemen Hingga

Induction motors are components that convert electrical energy into mechanical energy and are very much in demand among industries, with low prices, sturdy construction and easy maintenance making these induction motors used for heavy industrial applications. However, the 3-phase induction motor at this time chooses a low torque and speed so that it affects the efficiency of the induction motor performance, which will decrease. This study examines the effect of unsymmetrical 2-layer 6-phase induction motor design on the torque and speed of 3-phase induction motors using the finite element method. This research was conducted using Ansys software, which aims to see the magnetic flux density and the effect of 6-phase induction motor design on the torque and speed of a 3-phase induction motor using the finite element method. The induction motor that is the reference for this research has specifications of a 3-phase induction motor: 0.75 KW, 1 HP, 220/380 V, 3.5/2 A, 50 Hz, 1390 rpm. From the results of this study, the simulation results of the shape of the flux density ... which is designed with the parameters of a 3-phase induction motor with an unsymmetrical 6-phase 2-layer induction motor coil design.

Preliminary Design of Ironless Linear Induction Motors for ITER MSE Shutter Actuators

Preliminary Design of Ironless Linear Induction Motors for ITER MSE Shutter Actuators

Selection of induction motor stator and rotor slot number combination for optimal NVH

With the rise of vehicle electrification, considerable research has been directed towards reducing motor noise, predominantly focusing on Permanent Magnet Synchronous Motors (PMSM). Despite the increasing popularity of the induction motor, driven by its reliability, cost-effectiveness, and lower environmental impact, discussions surrounding the Noise, Vibration, and Harshness (NVH) aspects of induction motors remain limited. This paper addresses the NVH implications associated with stator and rotor slot combinations in conventional squirrel-cage induction motors. Through a design parametric study that examines the impact of varying the number of rotor bars through analytical simulation, the findings not only identify the optimal slot combination for minimizing motor noise but also demonstrate the critical importance of selecting the proper slot configuration, as NVH performance can exhibit significant variations. A physical test was conducted to validate the analytical simulations. This research contributes valuable insights into the induction motor design, especially at the early design stage, emphasizing the necessity of considerations in achieving enhanced NVH performance.

A Data-Driven Automatic Design of Induction Motors Based on Tree Search and Reinforcement Learning Considering Multiple Objectives

A Data-Driven Automatic Design of Induction Motors Based on Tree Search and Reinforcement Learning Considering Multiple Objectives

Numerical-field analysis of the magnetic conductivity of the slot dispersion of the stator winding of induction motors

Introduction. The magnetic fields and the corresponding magnetic conductivities of the slot dispersion of the stator winding of three-phase induction motors (IM) are studied. Such studies are relevant in their design and are one of the bases for calculating a number of energy parameters and characteristics of motors. In the classical design of an IM, which is still valid, the specified magnetic conductivities are determined analytically according to the simplified slot dispersion model, therefore they may not always provide sufficient accuracy due to a number of assumptions and conventions. Goal. Further development of the IM design system by means of a numerical-field calculation analysis of the magnetic conductivity of the slot dispersion of their stator winding, as well as a comparative check of the relevant analytical formulas from various methods of classical design. Results. The slot dispersion of IM is determined by numerical calculations using the FEMM program within the stator tooth steps. For the research, four variants of the shapes of the stator slots, which are common in modern IMs of small and medium power, are accepted. In the calculations, calculation models with strongly saturated and unsaturated in the magnetic relation with the stator core teeth are considered. The numerical-field method shows that the classical design method can give both sufficiently accurate results and unacceptable errors in determining the magnetic conductivities of slot dispersion of IM. Discussion and prospects for further development. The provided numerical-field analysis method and the obtained results of the calculation of slot dispersion of IM windings are recommended as a basis for improving the system of their design.

EXPRESS METHOD OF DETERMINING INSTANT CHARACTERISTICS OF ASYNCHRONOUS ELECTRIC MOTORS

A current trend during the last decade is the growing importance of automated electric drives that use asynchronous electric motors. This is due to the development of theoretical methods for modeling their work with high accuracy and a decrease in the cost of power semiconductor technology, which contributed to improving the efficiency and reducing the cost of such systems. This trend has led to the expansion of induction motors not only in traditional electric drive systems with easy starting conditions, but also in traction systems and systems with large starting torques that normally used DC motors. However, this has also led to technical challenges in the design and operation of induction motors due to their particular mechanical characteristics, which have a slightly lower starting torque value. This disadvantage can be eliminated by increasing the motor power in the design, but this can lead to a decrease in efficiency and an increase in the cost of the electric drive. Therefore, it is important to conduct further research to improve the starting characteristics of induction motors. With this in mind, asynchronous motors remain the most common electric machines used in various industries. Their use in industry is growing, and their applications are constantly expanding. The development of express methods for determining torque characteristics, which will allow to reduce the complexity of determining the starting torques of asynchronous motors, is an urgent task that is of great importance in practice. This article offers an express method for determining the torque characteristics of asynchronous electric motors, which helps to significantly reduce the complexity of testing such machines. A general mathematical model for controlling the torque characteristics of electric machines has also been developed, which makes it possible to unambiguously establish the dependence of the starting torque of an asynchronous motor on the angular position of the rotor on the basis of data obtained during experiments.

Winding Magnetization Design of Single-Phase Capacitor-Run Induction Motor for Submersible Pump Application

This paper provides a systematic stator winding design scheme that can effectively improve the operational efficiency of commercial single-phase capacitor-run induction motors. Without changing the circuit components and structural constraints, the motor’s stator windings will be rearranged based on the devised theoretical basis and design objectives. The design scheme supported by the finite-element emulations will be supplied to show the efficiency improvement of a commercial single-phase 2-pole induction motor. In addition, experimental hardware validations will be accomplished from the motor with rewound stators, and evident performance advances from measurements confirm the design.

Sizing, Modeling, and Performance Comparison of Squirrel-Cage Induction and Wound-Field Flux Switching Motors

In this study, the analytical design and electromagnetic performance comparison of a squirrel-cage induction motor (SCIM) and a wound-field flux switching motor (WFFSM) for high-speed brushless industrial motor drives is undertaken for the first time. The study uses analytical sizing techniques and finite element analysis (FEA) to model and predict the performance of both motors at a 7.5 kW output power. This study includes detailed equations and algorithms for sizing and modeling of both types of motors, as well as performance calculations that aid in motor selection, design optimization, and system integration. The main findings show that the SCIM has superior torque performance for starting and overload conditions, while the WFFSM offers advantages in power factor, efficiency over a wide operating range, and potential for higher peak power output. To this end, the WFFSM is capable of high-speed and high-efficiency operation while the SCIM is suitable for applications requiring variable speed operation. The validation study shows good agreement between analytical and FEA calculations for both motors. The results provide insights into the design and performance characteristics of both motors, enabling researchers to explore innovative approaches for improving their efficiency, reliability, and overall performance.

An optimized stator and rotor design of squirrel cage induction motor for EMU train

This paper aims to objectively calculate the 480-kW squirrel cage induction motor (SCIM) design for the electric multiple unit (EMU) trains. This is done by optimizing the stator slot and rotor slot design to get efficiency and power factor targets. The stator slot design is achieved by limiting the width and height of the stator slot pitch according to the specified range. A depth-to-width ratio is used according to the range to optimize the design of the rotor bar slot. The design process of the induction motor consists of three steps: it determines the specification design target, calculates the specified parameters of the induction motor, and simulates the design to obtain the most optimal motor design using ANSYS Maxwell. The simulation performance values obtained an efficiency of 92.547 % and a power factor of 0.915. This value is obtained from the optimization of the rotor slot and has met the minimum requirements of efficiency and power factor in designing a SCIM. The design proposed in this paper can be developed and applied in the Indonesian domestic railway manufacturing industry.

Concise Design and Modeling of Dual Cage Rotor Induction Motor.

Concise Design and Modeling of Dual Cage Rotor Induction Motor.

A Mathematical Model for Layout Design of Linear Induction Motors

The designing of induction motors is considered as a two-stage process of synthesizing an electromechanical system. At the first stage, the device layout is designed, during which the electric motor main dimensions and electromagnetic loads are determined based on empirical data. At the second stage, the device detailed design is developed. The models and methods applied at the stages of layout and detailed designing of rotating and linear induction motors (LIM) differ radically from each other. The following requirements are imposed on the LIM design models. First, the LIM model should allow the designer to calculate the intensity and spatial distribution pattern of the electromagnetic field and secondary current for each speed value. Second, the LIM model should be able not only to link the main dimensions with electromagnetic loads, but also explicitly produce the numerical indicators of electric motor energy efficiency and thermal load. A design model is proposed that satisfies the above-mentioned requirements and describes the LIM electromechanical, energy and thermal states. The model input parameters are the main dimensions and electromagnetic loads of the device. The controlled parameters are the electromagnetic force, efficiency and temperature of the inductor winding. The system layout is designed by evaluating the values of controlled parameters with variations of input parameters in technically feasible ranges. The article presents the results of designing a LIM according to the proposed model with an electromagnetic force of up to 1000 N, motion speed up to 12 m/s, working stroke up to 2.16 m, and efficiency up to 46%. The results of the thermal calculation testify that the electric motor can operate in short-term and intermittent modes. The results of calculating the performance of an electric motor with the same dimensions and a reduced current density in the inductor winding are also presented. An electric motor with insulation class F and natural air cooling develops an electromagnetic force of up to 116 N and can operate continuously over the entire speed range.

Design of Induction Motors With Flat Wires and Copper Rotor for E-Vehicles Traction System

This paper deals with the design of a 200kW/ 370Nm, induction machine for electrical vehicles traction system. The design aims to enhance the performance of the current induction machine technology for mass production making it suitable to be a rare earth free solution for electric vehicle applications. To this extent, suitable materials have been analyzed and selected, also by using of mechanical analysis and experimental data. Rotor die-casting, hairpin stator winding and specific cooling systems have been adopted within the proposed solutions. Extensive analytical and numerical methods are used for performance evaluation all over the full speed range of the machine.

Design and Multi-Objective Optimization of a Composite Cage Rotor Bearingless Induction Motor

To improve the quality of starting torque and suspension force, a composite cage rotor bearingless induction motor (CCR-BIM) is designed, which adopts a composite cage rotor structure that combines an inner rotor and an outer rotor. First, the overall structure of the CCR-BIM is designed, the composite cage rotor of the CCR-BIM is specially designed and analyzed for the induction principle, and the mathematical model of suspension force and torque is deduced. Second, the initial structural parameters are determined, and motor qualities, such as starting torque quality and suspension force quality, are compared and analyzed between the proposed motor and BIM using a finite element model (FEM). Third, based on the response surface model (RSM), a multi-objective improved NSGA-II is constructed, and the three optimization objectives of starting torque, suspension force, and suspension force pulsation are optimized. Finally, the results of the experimental setup prove that the starting torque increases by 6.98%, the suspension force increases by 5.45%, and the suspension force pulsation decreases by 18.54%. The effectiveness of the proposed motor and the correctness of the multi-objective optimization strategy are verified.

Design and Fault Diagnosis of Induction Motor Using ML-Based Algorithms for EV Application

The need for alternate transportation is driven by the increased fossil fuel cost and the adverse effects of climatic change. Electric vehicles (EVs) are the best option as they have less carbon footprint and reduced dependency on fossil fuels. Prodigious efforts to enhance the efficiency of EVs resulted in the development of highly efficient three-phase induction motors. Difficulties in designing highly efficient induction motors (IM) with high torque and power factors hindered the success of EV applications. Hence, our aim is to diagnosis fault in the designed IM under variable load conditions. The proposed EV motor is designed for 415V, 50Hz, and 5HP output power rating using ANSYS RMxprt simulation software. A fault detection strategy is also implemented with various machine learning (ML) techniques like Support Vector Machine (SVM), K-nearest neighbors (k-NN), ML perceptron (MLP), Random Forest (RF), Decision Tree (DT), Gradient boosting (GB), Extreme Gradient Boosting (XGBoost), and Deep Learning (DL) for both healthy and faulty conditions. Short Circuit (SC), High Resistance connection (HRC), and Open-Phase circuit (OPC) are considered as faulty states for this study. Motor performance with variable load for all the states healthy and faulty are evaluated through machine learning.

Electromagnetic quality of a linear asynchronous motor with different designs of the secondary element

Linear asynchronous electric motors drive the working bodies of the mechanisms directly and quite fully fulfill their drive characteristics, allow eliminating mechanical converters and increase performance. This solves the problem of maximum articulation, splicing of a source of mechanical energy - an electric motor and an executive technological mechanism. Linear electric motors with a massive ferromagnetic secondary are the most cost-effective, taking into account the operating modes - when operating in starting modes and on stop, therefore, in practice, it often becomes necessary to calculate them in a short circuit mode. With a simplified calculation, it is convenient to use correction factors for increasing magnetic fluxes in the yoke, secondary losses and efforts of linear induction motors compared to the same values in a circular analogue. The dependences of such coefficients on the quality factor, the number of pairs of poles and the relative magnetic resistance of shunting. In the general case, the comparison and selection of the design of a linear induction motor is carried out at the stage of preliminary design using the optimality criteria - the quality factor.