Parameters Of Induction Motor Research Articles

Effect of Voltage Supply Unbalance on Vibration of Three-Phase Induction Motor

Abstract The three-phase induction motor is the most popular electric motor used in industry. It has a simple and robust construction as well as a higher power density. It is a self-starting motor, therefore easier to start as compared to other types of electric motor. As the other benefit, a three-phase induction motor requires fewer maintenance measures. In order to maintain proper and continued operation, many parameters of a three-phase induction motor are constantly monitored. Among them is motor vibration. This is an important operation parameter frequently used to determine repair and maintenance needs to be taken on the motor. The vibration of a three-phase induction motor might be caused by mechanical as well as electrical problems. In this paper, the effect of magnitude unbalance of a three-phase voltage supply on the vibration of a three-phase induction motor is carefully investigated. To achieve this objective, two different laboratory experiments have been conducted. The first one is a three-phase induction motor supplied from a balance three-phase voltage supply. The second one is a three-phase induction motor supplied from an unbalance three-phase voltage supply. The unbalanced three-phase voltage supply condition is achieved by making the magnitude of one phase-voltage is 3%, 4%, and 5% lower than the magnitude of the other two phase-voltages. The vibration measurement is then taken in three different directions of the motor non-drive end (MNDE), i.e., horizontal (MNDEH), vertical (MNDEV), and axial (MNDEA). The experiment data show higher vibration in all directions, MNDEH, MNDEV, and MNDEA, as a load of the three-phase induction motor increases. Further, experiment data also show that higher vibration in all directions, MNDEH, MNDEV and MNDEA, is produced when unbalanced in magnitude voltage supply is higher

New disturbance observer-based speed estimator for induction motor

<p>This paper discusses a novel disturbance observer designed as an estimator to determine the rotor speed of an induction motor. This observer is a solution to obtain a simple structure with a small number of compact observer gains. Furthermore, the adaptation law is no longer required to estimate induction motor speed values. This is a machine model-based computation method that uses a stationary reference frame. The nonlinearity problem is solved using an additional state vector in the observer model, which is known as an extended state observer. This approach easily and systematically determines the observer gain by applying the linear quadratic regulator (LQR) method, thereby avoiding time-consuming trial errors. The proposed observer, which was presented in both continuous and discrete forms, was tested using a sensorless V/f- controlled induction motor. The simulation results show that the proposed observer can accurately estimate all states, namely, the rotor flux and stator current; therefore, the proposed estimator provides the speed and electromagnetic torque for a wide operational range of speeds and load torques. It was also shown that the proposed observer was robust to noise and uncertainty in induction motor parameters.</p>

Field Analysis and Equivalent Circuit Parameters of Linear Induction Motor with Eddy Current Secondary, Taking End Effect into Consideration

The field analysis of a single-sided linear induction motor (LIM) taking end effect into consideration is carried out. A suitable model is used to establish the two components of secondary current density and the air gap field intensity, these components, beside the force density are carried out through the three regions model. The drive force acting on a conducting secondary sheet is calculated and plotted as functions of the speed, taking the length of secondary ends as parameter. The motor speed can be controlled by changing the displaced angle φ of the electric loading wave in the second stator phase. The equivalent circuit parameters are determined here in terms of the machine geometry by a new suggested method. These parameters are plotted as function of the motor speed for different secondary ends.

Research on Parameter Identification of Induction Motor Based on Model Reference Adaptive System

Abstract This paper proposes a novel online parameter identification method based on model-reference adaptive systems to achieve more precise control of induction motors. This method efficiently and accurately obtains the parameters of induction motors during operation, facilitating effective control. Experimental validation is conducted on a hardware-in-the-loop test platform, demonstrating that the proposed online parameter identification method for induction motors achieves accurate parameter estimation with the advantages of high identification speed and precision. Control experiments on induction motors using the identified parameters further validate the feasibility of the proposed method for online parameter identification.

Online Estimation of Three-Phase Induction Motor Parameters Using an Extended Kalman Filter for Energy Saving

In this paper, the online estimation of three-phase induction motor parameters using an extended Kalman filter for energy saving is proposed. The optimal value of the stator current on the d-axis is calculated to obtain the minimum power loss. Accurate motor parameters are required to calculate the optimal stator current value for energy saving. Hence, to estimate motor parameters in real time, an online estimator known as the extended Kalman filter is applied. The energy consumption results for the motor using the proposed approach (estimated parameters with extended Kalman filter) are compared with those obtained using the conventional approach and energy saving (fixed parameters without parameter estimation) approach. As revealed by the comparison results from implementation in a laboratory, the proposed approach can provide minimum power losses for the three-phase induction motor drive, and the maximum energy-saving percentage is 60.18% compared with using the conventional drive approach.

Induction Motor Parameter Monitoring as Text File

Induction Motor Parameter Monitoring as Text File

Robust flux angle control of induction motors to improve efficiency at light loads

AbstractVector control of induction motors has provided us with both good performance and acceptable efficiency at rated loads. Using this method at light loads reduces the efficiency due to the adjustment of motor flux at the rated value. Electric motors are normally used even at lower loads than the rated ones and often selected oversized. Enhancing the efficiency of induction motors at light loads will significantly reduce electric energy consumption. A novel method called Flux Angle Control (FAC) of the induction motor is presented to improve efficiency in the steady state at light loads. To increase the accuracy of the induction motor model we consider iron losses. This method controls the angle between the stator flux (stator current) and the d‐axis (rotor flux direction). The primary aim of the flux angle control method is to reduce the flux level and increase the flux angle at light loads. The optimal flux angle is sensitive to some induction motor parameters. The proposed method offers several advantages compared to similar methods, including high efficiency, minimal sensitivity of the optimal flux angle to changes in motor parameters, a reduced number of calculations, and easy implementation. The validity of this method is examined through experiments.

Desain Motor Kapasitor Dua Fasa Simetris 1 kW

Single phase induction motors are one of the most frequently used types of motors because of their economical, sturdy, simple and easy maintenance advantages. One application is for electric vehicles. When single phase induction motors are applied to electric vehicles there are problems related to torque regulation based on vehicle operating conditions where when operating on light road conditions the torque produced by the motor remains high. In this research, a single-phase induction motor was made to have the same proportion of torque produced by the main coil and auxiliary coil or a 1kW 1000 rpm symmetrical two-phase induction motor. The type of winding applied to the stator is divided screws with the main and auxiliary coils each occupying 18 stator slots, 45 conductors per slots,, with a conductor diameter of 1.2 mm. As a phase shifter at start and operation so that they differ by 90°, a capacitance of 505.51 µF is used. As a result of the winding modification, the induction motor parameter values ​​for each stator winding are the same. So the starting torque of the main and auxiliary coils is 3.89 Nm and 3.88 Nm respectively and the nominal torque produced by the main and auxiliary coils is 4.28 Nm and 4.29 Nm respectively.

IMPROVEMENT OF THE METHOD OF CALCULATINGTHE PARAMETERS OF THE INDUCTION MOTORS REPLACEMENT SCHEME

The optimization of the equivalent circuit parameters of a three-phase induction motor with an equivalent double-circuit rotor is presented. The initial parameters of the equivalent circuit are estimated using a method known as engineering, based on the data provided in the manufacturer’s data sheet. The purpose of the work is aimed at increasing the accuracy of calculating currents and torques when using a double-circuit equivalent circuit of an induction motor by improving the method for determining the parameters of the equivalent circuit. A procedure for optimizing parameters has been developed to reduce errors between the calculated and actual values of the motor torque and current. Achieving the goal is ensured through the use of the author’s method of taking into account the nonlinearities of the motor, namely saturation of the magnetic circuit along the main path and scattering paths. To analyze the characteristics of an induction motor and predict its behavior in the event of faults and various operating modes, it is necessary to create a mathematical model of this motor. To ensure the adequacy of model calculations, it is necessary to take into account various nonlinearities of an induction motor, such as the effects of current displacement and machine saturation, steel losses, and others. The choice of a specific nonlinearity to take into account, as well as the methodology for taking it into account, are determined by the complexity of the tasks posed to the model. The depth of taking into account the nonlinear parameters of an induction motor depend on the requirements for the accuracy of the analysis and necessarily includes taking into account the most significant factors affecting the performance of the machine. A universal mathematical model has been created that describes an induction motor in a coordinate system that is stationary relative to the stator and takes into account the nonlinearity of its parameters. The parameters of the equivalent circuit of twelve industrial induction motors without and with optimization were assessed. A comparison was made of the results obtained from the engineering method and the actual data of the manufacturer to verify the effectiveness of the proposed method. Keywords: induction motor, nonlinearity of IM parameters, manufacturer’s data, optimization, parameter estimation, squirrel cage, mathematical modeling, experimental studies

New identification of induction machine parameters with a meta-heuristic algorithm based on least squares method

PurposeThe great value of offline identification of machine parameters is when the machine manufacturer does not provide its parameters. Most machine control strategies require parameter values, and some circumstances in the industrial sector only require offline identification. This paper aims to present a new offline method for estimating induction motor parameters based on least squares and a salp swarm algorithm (SSA).Design/methodology/approachThe central concept is to use the classic least squares (LS) method to acquire the majority of induction machine (IM) constant parameters, followed by the SSA method to obtain all parameters and minimize errors.FindingsThe obtained results showed that the LS method gives good results in simulation based on the assumption that the measurements are noise-free. However, unlike in simulations, the LS method is unable to accurately identify the machine’s parameters during the experimental test. On the contrary, the SSA method proves higher efficiency and more precision for IM parameter estimation in both simulations and experimental tests.Originality/valueAfter performing a primary identification using the technique of least squares, the initial intention of this study was to apply the SSA for the purpose of identifying all of the machine’s parameters and minimizing errors. These two approaches use the same measurement from a simple running test of an IM, and they offer a quick processing time. Therefore, this combined offline strategy provides a reliable model based on the identified parameters.

An alternative approach for the determination of electromechanical parameters of a tubular linear induction motor and its experimental validation

An alternative approach for the determination of electromechanical parameters of a tubular linear induction motor and its experimental validation

A Novel Approach to Controlling Parameters of Three-Phase Induction Motor

Every day iot performs an important position in our everyday existence. More than 80% of electromechanical conversion in industrial drives belongs to the Induction Motor (IM)And this wide variety is growing year on year all through the sector as the gadget moved from manual to automatic. However most induction motors are manually operated and cannot be monitored remotely. Induction motor vehicles are also such huge a part of our electric load and now not being able to reveal and control the motor despite the fact that the era exists within the form of iotis disheartening. This paper is at the smart tracking and manipulate of induction motors with the assist of a web application and real-time database. The system proposed here may be used with any existing induction motor that's being controlledVia a VFD. This gadget offers a complete way to reveal and manipulate the motor remotely with only a device that has a browser and a web connection and also to hit upon and expect deviations from everyday running parameters in advance than the superiority of motor failure.

DESIGN OF AN ELECTRIC DRIVE MODEL WITH SUPPORT FOR CA SYSTEMS

This article shows an example of designing an induction motor model. Calculation of electrical parameters of induction motor in Ansys Electronic Suite - Maxwell RMxprt. The finite-element analysis of the CAD model was performed both in two-dimensional space using Ansys Electronic Suite software of Maxwell RMxprt subprogram and in three-dimensional space using Ansys Mechanical software. The natural frequency of the motor rotor is between 922 Hz and 1014.6 Hz, so these frequencies must be skipped when controlling a motor of this configuration. The obtained values of electric current, torque, and operating speed can be adjusted by changing the internal components of the winding, stator, and rotor design. All the studies can be modified and used to study induction motors with other parameters. In particular, the created project in Ansys software can be used to design an induction motor with its characteristics, optimal for the required tasks.

AC Motor Monitoring and Controlling Using IoT

The design of IOT technology is shown to monitor and diagnose the performance of a three-phase induction motor and record crucial operational characteristics. Today's technology is rapidly tied to the Internet of Things (IOT), keeping things connected efficiently. For the purpose of gathering and processing induction motor parameters, the solutions given include an IOT-based platform. The parameters are made up of sensors, including humidity, temperature, voltage, and current sensors. With the help of the pocket IOT application, this data may be shown on a smartphone, accessed via web sites, and stored in a cloud platform. It will be promptly informed if performance limits are exceeded. To prevent motor downtime, an induction motor can be checked and immediate action taken can save money and time. Utilising IOT to monitor induction motors has several benefits, including notification of problem alerts and historical data for preventative maintenance. Recent technological advancements have greatly improved the quality, speed, and ease of our lives. This article explains how to manage and control induction motors (IOT) using the Internet of Things. The IOT is more effective and convenient for controlling systems because it can be used from anywhere via Wi-Fi. This intelligent system's main objective is to prevent induction motor failure by taking preventive measures. Because of its many benefits, including their self-starting nature, low cost, high power factor, and robust construction, induction motors are utilised in a wide range of applications, including those for electric vehicles, businesses, and agricultural areas. In order to maximise motor efficiency and assure safe and reliable operation, it is crucial to identify defects in motors as soon as possible using the best smart protection approach currently available. Remote monitoring is possible for the induction motor's speed, voltage, current, temperature, humidity, and other electrical, mechanical, and environmental parameters because errors in these areas seriously damage the motors and have an impact on the induction motor's ability to function in other applications. In this system for monitoring and controlling Induction using IOT, a number of sensors are employed to acquire the motor data in real-time and a relay is used to control the motor. The proposed system will collect and analyse induction motor parameters in real-time using an IOT-based platform.

Parameter Estimation of Induction Motors using Hybrid GWO-CS Algorithm

This study investigates a hybrid algorithm between Grey Wolf Optimization (GWO) and Cuckoo Search (CS) algorithms to find the parameters of induction motors. The parameters of the induction motor have been estimated by using the data supplied by the manufacturer. The problem for parameter estimation of the induction motor is formulated as an optimization problem. Then, the optimization problem is solved by using GWO and hybrid algorithm based on GWO and CS algorithms for the estimation of induction motor parameters. Numerical results show that both algorithms are capable of solving the optimization problem for finding the parameters of induction motor. Also, two algorithms and other algorithms such as Differential Evolution (DE), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Shuffled Frog-Leaping Algorithm (SFLA), and Modified Shuffled Frog-Leaping Algorithm (MSFLA) are compared for the problem. The results show that the hybrid GWO-CS algorithm gives a smaller objective value and closer torque value to the manufacturer’s data than the GWO algorithm and several algorithms for motor 1. Hybrid GWO-CS algorithm gives nearly the same results with GWO algorithm for motor 2.

ЗАСТОСУВАННЯ АСИНХРОННОГО ЕЛЕКТРОПРИВОДА З КЕРУВАННЯМ ЗА РЕАКТИВНОЮ ПОТУЖНІСТЮ

The practical issues of using an asynchronous electric drive with reactive power control with ensuring the independence of the load and over load capacity from changes of induction motor parameters, uninterrupted diapason of speed regulation, including zero, fast regulation and simplification of the microprocessor control system are considered .It is show what it may be to implement. References 8, figures 6.

Dynamic Equivalent Model Considering Multiple Induction Motors for System Frequency Response

Renewable energy sources have been characterized by a persistent and rapid proliferation, which has resulted in a notable reduction in grid inertia over an extended period. There is a widely held belief that the primary source of inertia within the grid stems from generation-side conventional units. However, in power consumption, a significant number of induction motors are present, which can inherently offer rotational inertia by virtue of their kinetic energy. To investigate the influence of induction motors on grid inertia, in this paper, we propose two types of models, i.e., a detailed grid model and a dynamic equivalent model that considers multiple induction motors. Specifically, the detailed grid model with multiple induction motors is first established. However, the detailed model requires the specific parameters of induction motors, which are hard to acquire in large systems. Moreover, the accuracy of the model is unsatisfactory. To fill these gaps, the dynamic equivalent model (DEM) is further proposed to emulate the detailed model. Compared with the detailed model, the proposed dynamic equivalent model is structurally simple and does not require the specific parameters of induction motors. Therefore, it is possible to apply to large systems for investigating the influence of induction motors on grid frequency dynamics. A genetic algorithm is introduced in order to figure out the parameters of the proposed dynamic equivalent model from historical frequency data. The proposed detailed model and dynamic equivalent model are evaluated on the IEEE 9-bus system in MATLAB and SimPowerSystems toolbox.

A Comprehensive Examination of Vector-Controlled Induction Motor Drive Techniques

This paper introduces a comprehensive examination of vector-controlled- (VC-) based techniques intended for induction motor (IM) drives. In addition, the evaluation and critique of modern control techniques that improve the performance of IM drives are discussed by considering a systematic literature survey. Detailed research on variable-speed drive control, for instance, VC and scalar control (SCC), was conducted. The SCC-based systems’ speed and V/f control purposes are clarified in closed and open loops of IM drives. The operations, benefits, and drawbacks of the direct and indirect field-oriented control systems are illustrated. Furthermore, the direct torque control (DTC) method for IMs is reviewed. Numerous VC methods established along with microprocessor/digital control, model reference adaptive control (MRAC), sliding mode control (SMC), and intelligent control (in terms of fuzzy logic (FL) and artificial neural networks (ANNs)) are described and examined. Uncertainties in the IM parameter are a considerable problem in VC drives. Therefore, this problem is addressed, and some studies that attempted to provide solutions are listed. Magnetic saturation and core loss impact are mentioned, as they are important issues in IM drives. Toward demonstrating the strengths and limitations of various VC configurations, a few experiments were simulated via MATLAB® and Simulink® that show the influence of machine parameter variation. Efforts are made to supply powerful guidelines for practicing engineers and researchers in AC drives.

QUALITATIVE STUDY ON THE IMPACT OF ELECTRICAL ENERGY QUALITY PARAMETERS ON THE OPERATION OF ASYNCHRONOUS MOTORS

One of the most common requirements in modern industrial applications is to minimize the costs associated with the operation, maintenance and possible repairs of the component systems. In industrial processes, induction motors are the most commonly used electromechanical converters in electrical drive systems. The extensive development of power electronics, as well as the relatively low manufacturing cost of asynchronous motors has determined a very high incidence of the presence of induction motor drive systems in industrial systems. The use of semiconductor devices to control the drive parameters of induction motors facilitates the tuning of the system and thus greatly improves its flexibility. However, the optimal use of such electric motors is limited due to the possibility of specific defects caused by the quality of the power supply. In this context, this paper proposes an analysis of the defects that frequently appear in the case of induction motors in industrial electrical drive systems as a result of deviations from the quality of the electrical energy of their power system parameters. Two deviations from the energy quality are mainly investigated, namely, the imbalance of the voltage value applied to the motor phases, respectively the harmonic distortions of the waveforms of the voltages applied to the motor. At the same time, an analysis of the failure rate is made according to various characteristics of the induction motors.

Implementation of FFT in Industrial Induction Motor Monitoring via Mobile Phone

Competition in the industrial world requires companies to always improve efficiency in the production process. The use of communication technology in the monitoring process is one way to reduce effort in monitoring equipment. This study aims to create a mobile phone-based online control and monitoring system for induction motor parameters in the industry without interfering with the motor's electrical network. The monitoring system is carried out by monitoring the vibration and temperature of the induction motor using the GY-521 MPU-6050 sensor connected to the NodeMCU ESP8266 as the control device. For the data computation process to obtain rotational parameters, the Fast Fourier Transform (FFT) function is applied to transform the vibration data from the accelerometer into the frequency domain. In the data collection process, 250 data samples were captured in 1 second which were formed from vibrations of the X, Y and Z direction motors. Manual ON/OFF control of the electric motor and automatic OFF was carried out when a spike in the vibration frequency of the motor was detected. The test was carried out with four variations of rotation conditions. The test results show that the rpm speed of the motor can be obtained based on the difference in the frequency of motor vibration. This data is then sent online to observer technician via the Telegram application installed on the mobile phone device. The system performance as a whole shows quite good performance both in terms of equipment placement, data processing and delivery.