Induction Motor System Research Articles

IMPROVING THE PARAMETERS OF A LINEAR INDUCTION MOTOR WITH A MASSIVE SECONDARY ELEMENT

A method for improving the parameters of linear asynchronous motors with a massive secondary element, which differ from normal induction motors in the design, size and shape of the main parameters and characteristics is proposed. Linear induction motors are widely used in actuators of industry and production that require linear movement. Linear asynchronous motors with a massive secondary element, where an alloy of iron and copper is used as the material of the secondary element, have been studied. Different percentages of metals in the iron and copper alloy are considered, which makes it possible to change the electrical resistivity ρ and magnetic permeability μ within specified limits. In the process of propagation of electromagnetic energy in a ferromagnetic environment, the change in the magnetic permeability of the environment as the wave moves through space is significant, which is associated with a change in the amplitude of the field strength. Magnetic permeability increases in relatively weak fields and decreases in sufficiently strong fields. The main electromechanical parameters of the system of a two-way linear induction motor with a massive secondary element made of an iron and copper alloy are calculated. The nominal values of the power factor and efficiency of a linear induction motor are obtained for different percentages of metals in the iron and copper alloy. The dependences of the power factor and efficiency on slip are given, and the values of the traction force of a linear induction motor with a massive secondary element made of an iron and copper alloy with different percentages of metals in the alloy are obtained.

FOPID controlled PV based QBC fed gamma Z-source inverter applicable for pump operations in an induction motor drive

<span lang="EN-US">A closed loop current mode-fractional-order-PID (CM-FOPID) controlled and PV based quadratic-boost-converter (QBC) fed gamma Z-Source Inverter with Induction motor system (PV-QBC-GZSI-IMS) for pump operation is proposed here. This work recommends a combination of QBC with gamma Z-source-inverter between the DC link source and asynchronous motor system. This will reduce the voltage rating of PV panel and its initial cost. GZSI reduces the current spikes in stator current. The objective of this research work is to regulate the speed of PV-QBC-GZSI-IMS. This effort deals with the closed loop response of PV-QBC-GZSI-IMS accompanied by current-mode-proportional integral (CM-PI) and CM-FOPID controllers. The performance investigations are analyzed with the control of QBC fed Gamma Z-source inverter with motor load using CM-PI and CM-FOPID controllers and the detailed comparison has been presented. MATLAB/Simulink outputs obtained with their respective speed and torque characteristics in time domain have been depicted. The closed loop CM-FOPID control of PV-QBC-GZSI-IMS is superior to the closed loop CM-PI control of PV-QBC-GZSI-IMS. The proposed QBC-converter reduces the voltage rating of PV panel and GZSI reduces current spikes in motor. The novelty of the article is to enhance the dynamic response of PV-QBC-GZSI-IMS using FOPID. The steady state error in torque is reduced to 0.52 N-m using FOPID.</span>

Induction motor torque closed-loop vector control system based on flux observation and harmonic current suppression

As for the torque control system of induction motors, there are generally two technical problems. One is the torque feedback error caused by the low accuracy of the flux observer, and the other is the torque ripple caused by insufficient harmonic current suppression. In order to provide accurate electromagnetic torque feedback information, an improved voltage and current hybrid model-based flux observer is designed, which improves the effectiveness of flux observation and the accuracy of electromagnetic torque feedback. Furthermore, an improved quasi-resonant linear active disturbance rejection-based current loop control method is proposed to suppress the harmonic current and reduce the torque ripple. And the disturbance observation characteristics, parameter influence, and self-stability of the control system are analyzed based on the frequency domain method. Finally, to verify the effectiveness of the proposed method, simulation, and physical experiments are designed in this paper. The experimental results show that the proposed method can effectively reduce the flux observation error and the current harmonic component, and thus greatly improve the torque tracking control performance.

High-accuracy torque estimation and safety control for induction motor used in electric vehicles

As a power output unit, Induction Motor (IM) is widely used in Electric Vehicles (EV) due to its unique advantages of higher power density and better torque ability. With more complicated motor controller system, there are some hardware and software failures which bring some risks including EV unexpected acceleration or deceleration, therefore it is necessary to build high-accuracy torque estimation and safety control strategy. Firstly, hazard and safety concept are analyzed to make sure function safety goals and levels for IM system. Secondly, a novel method of high-accuracy torque estimation is proposed based on a rotor dynamic and composite flux linkage observer. Then, fault diagnosis and handling mechanisms of motor torque are designed to avoid hazards when it is a significant difference between motor estimation torque and vehicle requested torque. Finally, power test and Hardware in Loop (HIL) bench are configured to verify torque estimation accuracy and fault protection mechanisms rationality by comparing test results and injecting related faults. Experiment result shows that motor torque accuracy is within ±5 Nm and fault protection mechanisms can bring motor to safety state promptly.

Loss minimization in Quadratic Boost Converter Multilevel Inverter fed induction motor system by Tuning of FOPID controller using PSO

Particle swarm optimization algorithm (PSO) is suggested to discover fractional order PID (FOPID) controller optimal variables for a better performance of induction motor. This PSO algorithm is designed to handle multiple optimization issues, due to its ease of application. A Closed Loop Quadratic Boost Converter Multilevel Inverter Fed Induction Motor (QBCMLIIM) system is simulated to earn reduced switching losses and reduced THD by incorporating particle swarm optimization(PSO) tuned Fractional Order PID controller. PSO stands to be one of the popular Artificial Intelligence (AI) method. The PSO algorithm starts its process from the initial particles by allotting initial velocities to the particles. At each location the objective function and the corresponding best values are evaluated. The double loop feedback system enhances the performance and robustness by suppressing the oscillations and overshoots.

Simulation of a direct torque control system in the presence of winding asymmetry in induction motor

The operation of a direct torque control (DTC) system for induction motors with the possible presence of unbalanced modes in the motor windings is studied. It is shown that in the presence of asymmetric modes in the motor windings, the classical DTC algorithm becomes unstable. It is proposed to improve the DTC by taking into account the unbalance of the active resistances of the motor stator windings when determining the DTC parameters. This will make it possible to study electrodynamic processes in DTC with the possible presence of asymmetric modes in the windings of induction motor.

Design of suspension control system for bearingless induction motor using fuzzy-I controller

In the bearingless induction motor (BIM), the rotor of BIM is supported by the magnetic force, the radial position control technique is studied in this paper, an approximation and simplification are used to create a linearized model of suspension system. The objective of this paper is to design a control system that overcomes the limitations of the traditional controller and to improve the control performance and achieve high stability, even if it is exposed to external disturbance and internal disturbance (changes in load or speed). In order to solve this problem, the proposed controller is based on the fuzzy-I controller that combines the positive features of both fuzzy logic and the integration. In comparison with the conventional PID, the results show that the fuzzy-I controller reduces the peak-to-peak rotor deviation by 23% under effect of external disturbance force and 31% under effect of speed variation and 9% under effect of load variation.

Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines

The technology of Internet of Things (IoT) can be integrated with systems of electrical machines, for electric drives and wind and solar generation systems, and advance controlling and monitoring. This work presented recent research and progress of electrical drives with IoT technology, regarding design, operation, and trial of the control system for induction motors (ΙΜ). Also, the developed software code and hardware units for speed control were detailed and the results obtained from tests of performance of the ΙΜ integrated with IoT were described. With the IoT integration set-up, the operator can control the frequency values, obtain real-time feedback of the process, and monitor the system during varying loads in steady state. The operation of the ΙΜ system driven by inverter and its monitoring over IoT was proven to have high-accuracy speed control and increased efficiency at supersynchronous speeds. Thus, IoT establishes potentials to become a multipurpose tool in the industrial control of electric drives. This paper established one case study of an IoT set-up and control technique for IM, which is suitable for energy engineering experts in the field of IoT control of industrial equipment.

Simulation of the Temperature of a Shielding Induction Motor of the Nuclear Main Pump under Different Turbulence Models

Thermal design and the choice of turbulence models are crucial for motors. In this project, the geometrical model of the vertical shielding induction motor for a small nuclear main pump was established by SolidWorks software and the finite volume method was adopted to investigate the temperature of the motor, especially the temperatures of bearings lubricated water. To make the numerical simulation of flow and heat transfer in the rotating clearance of the shielding induction motor more accurate, the effects of four types of different two equation turbulence models on the temperature field of the shielding induction motor were studied. The results showed that different choices of turbulence models had little effect on the temperature of the winding insulation but influenced the temperature of the lower guide bearing lubricating water and the secondary cooling water outlet. The SST k-ω model showed the lowest relative error result of the temperature of the winding insulation and the bearing lubricating water in the primary loop system of the shielding induction motor. The temperature of the clearance water, the spiral tube water and the spiral groove water increased approximately linearly along the axial direction.

Design of suspension control system for bearingless induction motor using self tuning fuzzy-PID controller

Design of suspension control system for bearingless induction motor using self tuning fuzzy-PID controller

Analysis of the Drive of the Electric Vehicle with Six-Phase Induction Motor

Abstract The article presents the analysis of the drive system of the electric vehicle with a six-phase induction motor. The mathematical models of the six-phase induction motor and model reference adaptive system (MRASF) estimator are presented, and the description of the voltage source inverter, space vector modulator and bidirectional buck–boost converter is shown. The direct field-oriented control (DFOC) system and the direct torque control with space vector modulation (DTC-SVM) system are analysed. Results of simulation studies of these control methods and comparative analysis are shown. The DTC-SVM method is selected as the method with the best properties, and a full model of the electric vehicle drive system is built using this method. The detailed description of the drive system of the electric vehicle with a six-phase induction motor and DTC-SVM control system and the results of simulation tests for this drive system are presented. The aim of the authors and an element of novelty is to develop and test a drive system for an electric vehicle with a six-phase induction motor, adaptive speed estimator and extensive space vector modulator.

Modeling of energy-efficient direct torque control system for traction induction motor

A brief analysis of existing control systems for traction electric drives with induction motors has been carried out, as a result of which it has been established that vector control and direct torque control systems are the most promising. The comparative characteristic of these control systems according to different parameters of electric drive quality has shown that in energy-saving algorithms it is appropriate to use the systems of direct torque control. The work aims to simulate the electric drive with a direct torque control system, which provides the reduction of power losses in an asynchronous motor. The value of the stator winding power factor is chosen as a control action. The calculation and functional dependences between the main parameters of the control system and the induction motor are synthesized, the fulfillment of which allows reducing duce power losses. The functional diagram of the electric drive with an energy-efficient control system is given. The hardware of this control system does not differ from the currently used frequency converters. In the power channel of the frequency converter, a three-level autonomous voltage inverter with locking diodes is used. The results of modeling for electric drive with 11 kW motor, analysis of which showed the adequacy of the developed model and performance of the synthesized control system, the efficiency of the electric drive with energy-efficient control system increases to 18% compared with the classical direct torque control system.

Model Predictive Controlled Quasi Z Source Inverter Fed Induction Motor Drive System

Ongoing advancements in inverters have offered pathway to high gain quasi Z source inverter Circuit (QZSIC). High gain QZSIC can be found between Semi Converter (SC) and three phase Induction Motor Loads (TPIML). This paper proposes suitable controller for closed loop controlled QZSIC-TPIML. This strive deals within improvement in time- response of QZSIC fed induction motor system. The objective of this effort tis to design a closed loop controlled QZSI*fed-induction motor framework that provides a stable-rotor-speed. The QZSIC is settled to switch it to “3phase AC”. The yield of 3phase inverter is sieved before it’s applied to a‘3phase-Induction-motor’. Closed loop control of QZSIC-TPIML using SMC and MPC is simulated &their rejoinders are compared. The ‘Model Predictive controller (MPC)’ is acclaimed to retain persistent significance of-speed. The result obtained via MP-controlled QZS-IIMD-method is compared with Sliding mode-controlled SMC) QZS-IIMD systems for change in input voltage. The wished-for MP controlled-QZS-IIMD method has benefits like fast settling-time and less steady state speed error.PIC16F84basedhardware for 0.5HP, QZSIC-IMDS is implemented.

A novel dataset and lightweight detection system for broken bars induction motors using optimizable neural networks

Broken rotor bars (BRBs) in induction motors (IMs) are a common kind of failure and one of the most difficult to detect since the induction motor continues to run properly in the absence of any evidence of a malfunction. There have been several approaches presented for identifying BRBs in IMs. However, in order to parameterize the current signal, they need tools with a high computational cost, making an online implementation of the appropriate monitoring system difficult. As a result, this paper proposes a novel AI-based approach to detect and classify BRBs faults in IMs using novel multi-class datasets from two three-phase, 400V induction motors; 2.2kW, two poles, 50 Hz, 24 stator slots and with 20,29 and 32 rotor bars numbers (M24Ns,(20,29,32)Nb), and 2.2kW, four poles, 60 Hz, 36 stator slots with 28 and 44 rotor bars numbers (M36Ns, (28,44)Nb) to help in the analysis of healthy and faulty IMs, as well as classification performance evaluation and benchmarking. The developed lightweight, intelligent, and autodetection system employs a self-configurable neural network model for BRBs in IM models. It provides four classification outputs: healthy, one-BRB, two-BRBs, and three-BRBs. The simulation results characterize the performance of the (M24Ns, (20,29,32) Nb) and (M36Ns, (28,44) Nb) IMs and the combined mode for both motors, demonstrating that the proposed approach is very effective in detecting and classifying BRBs, with a 99.8 % and a prediction time of 1.64 microseconds.

RETRACTED ARTICLE: Detailed study of efficient water jacket cooling system for induction motor drive used in electric vehicle

RETRACTED ARTICLE: Detailed study of efficient water jacket cooling system for induction motor drive used in electric vehicle

Parameters optimisation on active disturbance rejection control of a bearingless induction motor

ABSTRACT Aiming at the problem that the parameters tuning depends on empirical adjustment and it is difficult to obtain the optimal solution in the active disturbance rejection control (ADRC) system of a bearingless induction motor (BIM), a fusion control strategy based on improved particle swarm optimisation (IPSO) and simulated annealing (SA) algorithm is proposed. Based on the orientation of the air gap magnetic field, the first-order torque ADRC and the second-order levitation ADRC are designed for the rotating and suspension parts of the BIM, respectively. The parameters of the ordinary particle swarm optimisation algorithm are improved to obtain the fast optimisation ability; The Metropolis criterion of the simulated annealing algorithm is combined to improve the accuracy of the final solution. Meanwhile, several groups of test functions are used to test IPSO-SA and verify the stability as well as the accuracy of the algorithm. Finally, the parameters of ADRC are adjusted by IPSO-SA, and the obtained parameters are simulated by Matlab/Simulink operating environment and verified by experiments on the experimental prototype. Both simulation and experimental results show that the proposed control strategy can not only obtain good speed characteristics and improve the robustness of the system but also effectively realise its high-performance suspension.

A Proposed Three-Phase Induction Motor Drive System Suitable for Golf Cars

In this paper, a proposed electric drive system for a three-phase induction motor is presented. The proposed drive system is suggested for a golf car as one type of electric vehicle. The suggested system consists of three similar single-phase buck–boost converters. Hence, each single-phase buck–boost converter is used as a buck–boost inverter and is used to energize only one phase of the induction motor. The suggested system has the advantage of high reliability, as it can deal with different fault conditions such as battery and motor winding faults. The suggested electric drive system depends on a buck–boost converter which gives variable voltages as well as variable frequencies. Thus, variable speeds of the electric vehicles can be easily achieved. A variable DC voltage (positive or negative) can be achieved at the output of the adopted buck–boost converter, which is considered another advantage of the proposed drive system. This DC voltage can be used to achieve braking of the induction motor used to drive the electric vehicle. Therefore, this advantage can be used instead of ordinary mechanical braking to increase vehicle reliability. To demonstrate our proposed idea, a simulation study is presented. The simulation is carried out using Power Simulation Program (PSIM) software. The simulation study takes into consideration the performance of the adopted buck–boost converter under different conditions to present its advantages. Furthermore, a performance study of the suggested induction motor drive system is carried out under different conditions ranging from healthy to faulty conditions to test system reliability. For more illustration, an experimental prototype of the adopted buck–boost converter is built, and its performance is studied. From all the obtained results, the efficacy of the proposed system is demonstrated.

Logic System Design for Fault Detection and Classification of Voltage Source Inverter Driving Induction Motor

Induction motors are commonly used in many different applications. The importance of these motors comes from their ruggedness, reliability, and low maintenance cost. Generally, the driving system of these motors can be vulnerable to injury of different types of faults during the operation, which leads to failure in continuous optimal operation of the system. This paper proposes a new simple algorithm to detect and classify the fault may occur in the driving system (in the Voltage Source Inverter VSI) of induction motor. The proposed method uses three parameters: First, the per phase average value of the stator current. Second, the Pulse Width Modulation (PWM) signal. Third, the switch voltage (drain to source voltage). The method is designed based on using the logic system. It is designed to decide whether the driving system is healthy or faulty. Moreover, the logic system can specify the fault location over the driving system. MATLAB 2020a is used to validate the results.

Application of ANN in Induction-Motor Fault-Detection System Established with MRA and CFFS

This paper proposes a fault-detection system for faulty induction motors (bearing faults, interturn shorts, and broken rotor bars) based on multiresolution analysis (MRA), correlation and fitness values-based feature selection (CFFS), and artificial neural network (ANN). First, this study compares two feature-extraction methods: the MRA and the Hilbert Huang transform (HHT) for induction-motor-current signature analysis. Furthermore, feature-selection methods are compared to reduce the number of features and maintain the best accuracy of the detection system to lower operating costs. Finally, the proposed detection system is tested with additive white Gaussian noise, and the signal-processing method and feature-selection method with good performance are selected to establish the best detection system. According to the results, features extracted from MRA can achieve better performance than HHT using CFFS and ANN. In the proposed detection system, CFFS significantly reduces the operation cost (95% of the number of features) and maintains 93% accuracy using ANN.

Extremely low speed performance research of the speed sensorless vector controlled induction motor drive system

This paper proposes a new full-order adaptive observer algorithm to overcome the instability of speed sensorless vector control system of induction motor at low speed, especially at extremely low speed. The algorithm consists of the improved feedback matrix algorithm and the improved speed adaptive law algorithm. By establishing an observer state error equation considering the non-linear voltage error of the inverter and the stator resistance voltage drop, a feedback matrix was designed to reduce the effect of inverter's non-linear voltage error and stator resistance voltage drop on speed estimation. Meanwhile, this paper improves the traditional adaptive law. The basic idea is to add compensation amount equivalent to the non-linear voltage error, and the compensation amount is adaptive to the running speed and load to improve the motor speed estimation accuracy at low speed. Extensive experimental tests have been carried out to evaluate the performance of the proposed algorithm using a 2.2 kW induction motor experimental platform. The experimental results show that the algorithm presented in this paper can guarantee the stable operation of the motor under the rated-load and 180% rated-load at low, extremely low and 0 speed with good dynamic and static characteristics.