Three-phase Induction Motor Research Articles

Design, Development, and Performance Evaluation of a Motorized Cassava Peeling Machine

This study focuses on the design, development, and performance evaluation of a motorized cassava peeling machine, constructed using locally sourced materials. The machine features an abrasive peeling drum, a hopper, a mild steel frame, and a pulley system, all powered by a 2 hp single-phase induction motor. During performance tests, the machine demonstrated an average throughput capacity of 75.54 kg/hr. and a peeling efficiency of 88.33%. Statistical analyses using factorial experimental designs revealed that machine speed and day after harvest had significant impacts on peeling efficiency (p = 0.0199) and throughput capacity. The optimal performance was observed when cassava tubers were processed 1 day after harvest using a 2 mm grater, maximizing throughput. While the interaction between the day after harvest and grater size significantly affected throughput capacity (p = 0.0213), the interaction between machine speed and grater size was insignificant. ANOVA results confirmed the reliability of the regression models, with model validation ensuring normality and constant variance. This locally fabricated machine offers an affordable and efficient solution for small to medium-scale cassava peeling, improving productivity and reducing manual labor.

Development and Performance Evaluation of a Poultry Bird Defeathering Machine

The poultry processing industry is under high demand due to the increasing demand for chicken meat worldwide, especially in Sub-Saharan Africa, where manual defeathering is the norm. The primary objectives of this study were the design, construction, and performance evaluation of a chicken defeathering machine using locally accessible materials. Standard equations and formulae were used in the design of the machine's main parts, which include the electric motor, sheave, belt, pulley, bearing, feather plate, rubber fingers, cylindrical drum, and rubber pluckers. Fifteen cockerel chickens of different weights were evaluated at three different speeds of 450, 500, and 550 rpm in order to assess the performance of the chicken feather plucking machine. The data obtained was analyzed using Excel 13. The highest defeathering efficiency of 84.49% was recorded at a machine speed of 450 rpm, followed by a defeathering efficiency of 81.70% at a machine speed of 500 rpm, while the lowest defeathering efficiency of 80.98% was recorded at a machine speed of 550 rpm, respectively. The highest plucking time of 22.80 s was recorded at a machine speed of 450 rpm, followed by a plucking time of 20.40 s at a machine speed of 500 rpm, while the lowest plucking time of 19.80 s was recorded at a machine speed of 550 rpm, respectively. It will take an average of 21.00 seconds to defeat a medium cockerel used for the testing of the defeathering, which implies that the developed defeathering machine can defeat 171 chickens per hour. The machine is powered by a 5.5-hp, three-phase electric motor and has a production cost of $250, with the construction materials being locally available at affordable costs. The machine is recommended to both small and medium-scale farmers and food processors due to its simplicity, cost-effectiveness, and improvement over the previous ones in terms of efficiency and capacity.

Hybrid algorithm for fault detection in three-phase motors using Principal Component Analysis

Hybrid algorithm for fault detection in three-phase motors using Principal Component Analysis

Backstepping controller for speed loop of permanent magnet synchronous motors integrated with a time-varying disturbance load observer for Metro Nhon-Hanoi Station

Urban rail systems offer the substantial potential for reducing environmental pollution, alleviating traffic congestion, ensuring safety, and maintaining punctuality. Nevertheless, the operation of urban rail demands substantial electrical energy, and saving energy solutions are crucial to exploiting the full advantages of electric trains. This paper proposes the replacement of traditional traction motors with permanent magnet synchronous motors (PMSMs) due to their superior efficiency, reduced power losses, and compact size compared to direct current (DC) motors or other asynchronous three-phase motors with equivalent power, developing a backstepping controller for the speed loop coupled with a load observer-time-varying disturbance (TVD). The simulation results were conducted in MATLAB/Simulink with parameters collected from the Nhon-Hanoi urban railway line, Vietnam, verifying the proposed algorithms' correctness and effectiveness.

Early Fault Detection of Stator Interturn Short Circuit of Asynchronous Motor Based on Rotating High Frequency Voltage Injection

Early Fault Detection of Stator Interturn Short Circuit of Asynchronous Motor Based on Rotating High Frequency Voltage Injection

Dynamic to Static Model Comparison and Hybrid Metaheuristic Optimization in Induction Motor Parameter Estimation

This paper presents a comprehensive study of parameter estimation for three-phase induction motors (IMs) using hybrid optimization methods and a comparative evaluation of static and dynamic modeling approaches. A hybrid metaheuristic combining the Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO) is developed to identify optimal motor parameters efficiently. The approach utilizes a static model for rapid estimation, with final parameter values validated against a dynamic model to ensure accuracy in operational predictions. Results confirm that the static model provides robust parameter estimates for key performance metrics, including torque, power factor, and current, aligning well with experimental results from real-motor no-load tests. Parameters estimated by the proposed method demonstrate a high adherence with the motor real measurements. Comparisons also reveal the limitations of static models in scenarios requiring state-space accuracy, such as observer-based control applications. This study concludes by recommending further exploration of alternative motor modeling structures and the hybrid optimization algorithm for parameter estimation.

The Effect of Stator Outer Diameter and Length on the Performance of Three-Phase Induction Motor at Constant Volume

The Effect of Stator Outer Diameter and Length on the Performance of Three-Phase Induction Motor at Constant Volume

Diagnosing Broken Rotor Bar Faults in Speed‐Sensorless Squirrel Cage Induction Motors Using Principal Component Analysis and Knowledge Graph

ABSTRACTSquirrel cage induction motors (SCIMs) are integral to numerous industrial applications, and the accurate monitoring and diagnosis of rotor bar conditions are paramount for enhancing system productivity and minimizing maintenance expenditures. However, the existing techniques for diagnosing broken rotor bars (BRBs) faults are often constrained by the voltage imbalance conditions and the low slip in practical applications. This paper introduces an innovative approach to BRBs fault diagnosis, using principal component analysis (PCA) and knowledge graph (KG) methodologies. PCA, which is robust to imbalanced conditions, is employed to demodulate the stator current signals and isolate the phase modulation (PM) component. The calculated PM index serves as a fault indicator. Concurrently, the KG framework is introduced to detect the BRB fault and quantify the severity. Experimental results demonstrate the effectiveness and reliability of the proposed method under different load levels and fault severities.

Design, Dynamic Modelling, Simulation and Control of a Solar Powered Sucker Rod Oil Pump

The sucker rod pump is a crucial artificial lift system widely deployed in the oil industry to extract crude oil from producing wells. Accurate modelling of the sucker rod pump has become essential as a viable strategy for optimizing performance, and ensuring both efficient and economic operation. This paper presents a comprehensive methodology for the design, dynamic modelling, simulation, and control of a solar-powered sucker rod oil pump. It combines load modelling of the sucker rod pump using SolidWorks with design, dynamic modelling, simulation, and control of the solar microgrid in Matlab's Simscape and Simulink. The model seamlessly integrates the mechanical and electrical systems with 100%renewable energy to power the sucker rod pump system. This approach combines the solar photovoltaic system, battery charge control system, battery energy storage system, step-up transformer, and the squirrel cage induction motor, which serves as the electric motor prime mover. The surface pump model is first developed in SolidWorks and then converted to Simscape, the rating of the pump is then implemented as a load in the solar-powered electrical microgrid. Environmental conditions such as solar irradiance and ambient temperature for summer and winter are obtained from data repositories and included in the modelling and analysis of the overall system performance demonstrating stable operation, robustness, and resilience to changing environmental and operational conditions.

Reduction in DC-Link Capacitor Current by Phase Shifting Method for a Dual Three-Phase Voltage Source Inverters Dual Permanent Magnet Synchronous Motors System

This paper presents a carrier waves phase shifting method to reduce the dc-link capacitor current for a dual three-phase permanent magnet synchronous motor drive system. dc-link capacitors absorb the ripple current generated at the input due to the harmonics of the pulse width modulation (PWM). The size, cost, reliability, and lifetime of the dc-link capacitor are negatively affected by this ripple current flowing through it. The proposed method is especially appropriate for common dc-link capacitors for a dual inverter system driving two PMSMs. In this paper, the input current of each inverter is analyzed using Double Fourier Analysis, and the harmonic components of the dc-link capacitor current are determined. The carrier wave phase shifting method is proposed to reduce the magnitude of the harmonics and thus reduce the dc-link capacitor current. Furthermore, the optimum angle between the carrier waves for the maximum reduction in the dc-link capacitor current is analyzed and simulated for different scenarios considering the speed and load torque of the PMSMs. The proposed method is verified through experiments and PMSMs are driven by three-phase voltage source inverters (VSIs) modulated with Space Vector Pulse Width Modulation (SVPWM), which is the most common PWM strategy. The proposed method reduced the dc-link capacitor current by 60%, thereby significantly decreasing the required dc-link capacitance, the volume of the drive system, and its cost.

Broken Rotor Bar Fault Detection in Induction Motor Based on Spectral Analysis

Three-phase induction motors are among the most frequently used motors in industrial areas due to their simple structure, low cost, power specifications, etc. Electric energy consumption from these motors accounts for 68% of the energy used by all motors. The faults that occur in these motors over time decrease motor efficiency and result in significant energy consumption. In this study, a new method based on spectral subtraction (SS) was suggested for determining broken rotor bar (BRB) faults in these motors. The traditional method of motor current signature analysis via Fast Fourier Transform (FFT) is hard to use to diagnose BRB faults because the sideband characteristics used as a fault indicator are also seen in the healthy state at low amplitude levels. In the proposed fault detection method, the FFT of both healthy case and faulty case current signals were calculated and then the SS signal is obtained by subtracting the FFT of the healthy motor from the faulty motor for each time step. In the residual SS signal, fault detection was performed by examining the amplitude levels of the harmonic component of the BRB fault. Experimental results indicate that BRB faults can be successfully detected in squirrel-cage rotor induction motors using the suggested method.

Speed Control of a Single-Phase Induction Motor Using a Fuzzy Logic Based Hysteresis Band PWM

Single-phase asynchronous motors are preferred in the industry due to their significant features such as robust construction, easy maintenance, and ability to operate in different ambient conditions. They are widely used in various types of automated control systems, cooling and ventilation appliances, and household appliances. Although the structure of the single-phase induction motors is quite simple, modeling and speed control of them are very difficult due to their nonlinear structure. Since traditional speed control methods are not sufficient in nowadays, various methods are being investigated for the speed control of these motors. One of them is to control the speed of a single-phase induction motor by changing the voltage waveform via the power electronic components. In addition to this method, fuzzy logic controller can be preferred in the systems that are difficult to analyze and it does not require a mathematical model. For this reason, in this study, a PWM controlled AC chopper circuit and fuzzy logic controller, which is one of the faster and cheaper methods, are proposed for the speed control of a single phase induction motor. Thus, better results are obtained from the fuzzy logic controller. The system is modeled by MATLAB/Simulink simulations and the results are validated.

The Effect of Unbalance Supply on the Three- Phase Synchronous Motor Performance in the Laboratory

A detrimental worldwide phenomena that affects the output of three-phase synchronous motors is voltage unbalance. There are several ways that a three-phase source voltage can become unbalanced. A motor may be practically impacted by imbalanced instances that vary in several ranges. The goal of this work is to assess the operations using relevant hypotheses. To understand the degree of such modifications, this paper examines balanced and imbalanced situations practically in relation to their mechanical and electrical performance. This performance entails the currents of stator, total harmonics distortion, the speed of the motor, and the efficiency. The experiment was conduct laboratory on three phase synchronous motor.

ДОСЛІДЖЕННЯ ЕКОНОМІЇ ЕНЕРГЕТИЧНИХ І ВОДНИХ РЕСУРСІВ В СИСТЕМІ ВОДОПОСТАЧАННЯ БАГАТОПОВЕРХОВОГО БУДИНКУ ЗА ДВОРІВНЕВИХ СТОЯКІВ

The influence of the structure of the electromechanical water supply system of a 12-story building (replacing one riser with two risers of different levels) on the efficiency of energy and water resource use was studied. A mathematical model of the electromechanical system has been developed and implemented in software, which takes into account the dependence of the floor consumption on the pressure value and allows determining the water needs of consumers based on the given cyclorama of the water consumption of the house. According to the information about the known parameters of the basic version of the water supply system, the parameters of one floor and the parameters of the variants of the building system with risers for servicing floors are determined: 1-12; 1-6; 7-12. The study was carried out taking into account the proposed time dependence of the change in the input pressure of the house. Means of generalized determination of the energy efficiency of the asynchronous motor of the water supply system based on approximate dependences of nominal efficiency on power and efficiency on the degree of loading have been developed. The comparison of options was carried out according to the formulated expression of the efficiency criterion, as the ratio of the daily useful effect of the water supply system to consumers to the cost of electricity and water consumed during the given period. According to the simulation results, the two riser option provides savings of 4% of water and 25% of electricity with their ratio in monetary terms 6:1. This justifies the priority of taking into account water savings when justifying the modernization of water supply systems (parallel zoning, adjustable electric drive). References 11, table 1, figures 3.

DEVELOPMENT OF EARLY WARNING SYSTEM FOR 3-PHASE ELECTRIC MOTOR MALFUNCTION DETECTION BASED ON LORA

This study aimed to develop an early warning system for detecting malfunctions in three-phase electric motors using a LoRa-based microcontroller. Three-phase electric motors are vital components in industry, and their failure can cause significant downtime and financial losses. This system was designed to improve operational reliability and efficiency through remote monitoring and early detection of potential failures. Various sensors, including current, voltage, temperature, and RPM sensors, was installed on the motor to monitor its operational conditions. The collected data was sent via the LoRa network to the processing unit for further analysis and early warning. The study used Research and Development (R&D) approach with a prototyping development model, which included gathering requirements, designing, prototyping, and evaluating the system. Each stage was designed to ensure that the developed system can meet the expected operational and functional needs. It is expected that this system can prevent greater damage, reduce maintenance costs, and increase overall industrial productivity.

Optimization of fractional PI controller parameters for enhanced induction motor speed control via indirect field-oriented control

Introduction. Induction Motors (IM) possess advantages such as stability, reliability, and ease of control, making them suitable for many purposes; the literature elucidates control methodologies for IM drives, primarily focusing on scalar and vector control techniques; the conventional method utilized in manufacturing is scalar control, which unfortunately demonstrates optimal performance solely in steady-state conditions. The absence of significant instantaneous torque control restricts flux and dissociated torque, resulting in subpar dynamic responsiveness. Indirect Field Oriented Control (IFOC) for IM drives has proven beneficial for various industrial applications, particularly electric vehicle propulsion. The primary advantages of this approach include the decoupling of torque and flux characteristics and its straightforward implementation. The novelty of the work consists of a proposal for a driving cycle model for testing the control system of electric vehicles in Mosul City (Iraq), and using a Complex Fractional Order Proportional Integral (CFOPI) controller to control IMs via IFOC strategies, the Artificial Bee Colony (ABC) algorithm was applied, which is considered to be highly efficient in finding the values of controllers. Purpose. Improvement IFOC techniques for the regulation of IM speed. Methods. Using the ABC algorithm in tuning the two unique CFOPI controller, and a Real Fractional Order Proportional Integral (RFOPI) controller, to regulate the speed of a three-phase IM via IFOC techniques. Results. The CFOPI controller outperforms the RFOPI controller in obtaining the best performance in controlling the IM. Practical value. The CFOPI controller demonstrates superiority over the RFOPI controller, as evidenced by the lower integral time absolute error in motor speed tracking during the driving cycle 2.1004 for the CFOPI controller compared to 2.1538 for the RFOPI controller. References 27, tables 5, figures 4.

Fault diagnosis in thermal images of transformer and asynchronous motor through semantic segmentation and different CNN models

Fault diagnosis in thermal images of transformer and asynchronous motor through semantic segmentation and different CNN models

Research and analysis of mechanical characteristics of three-phase asynchronous motor

Research and analysis of mechanical characteristics of three-phase asynchronous motor

A A three-phase induction motor dynamic framework regulated by predictive and intelligent optimizations

A A three-phase induction motor dynamic framework regulated by predictive and intelligent optimizations

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

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