Induction Motor
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Author(s):  
Jyothi R ◽  
◽  
Tejas Holla ◽  
Umesh NS ◽  
K Uma Rao ◽  
...  

AC drives are employed mainly in process plants for various applications. In most industrial applications, Induction motor drives are preferred as they are robust, reliable, and efficient. Process industries have seen a paradigm shift from manual control to automatic control. Advancements in power electronics technology have led to smooth control of the induction motor using variable frequency drives over an entire speed range. Variable Frequency Drives (VFD) comprises of Voltage source inverter and a three phase squirrel cage induction motor. Various electric faults that are incipient in the VFD cause an abrupt change in circuit parameters resulting in insulation damage, reduced efficiency, and leading to catastrophic failure of the entire system. Hence, continuous monitoring of the system parameters such as stator current, speed, and the vibration of the machine is essential to diagnose incipient faults in the system. AI techniques have been effectively used in the fault diagnosis of electrical systems. In the proposed work, simulation results of machine learning-based fault diagnosis techniques are presented. Real-time IoT-based condition monitoring of the Variable Frequency Drive is also implemented for enhanced fault diagnosis of various incipient electrical faults in AC drives. The experimental results obtained are validated with the simulation data.


Author(s):  
Bilal A. Nasir ◽  

Due to the wide utilization of a 3-phase, squirrel-cage, self-excitation generator in renewable energy and isolated areas application, the paper deals with detailed design procedure of this type of generator, in a sequence and systematic manner. The design steps are obtained and executed in a Matlab file of the computer program to suit the newly designed constructions and parameters of the generator. In the new construction, the generator can be operated in a stable and saturation region. Due to the similarity in the construction of induction motor and generator, the formulas used in the calculation of equivalent circuit components of an induction motor may be utilized to calculate the parameters of the induction generator. To obtain optimized induction generator parameters and construction dimensions an ant colony algorithm is used to optimize these construction dimensions and generator parameters. The main objective parameters used in this algorithm are the generator efficiency, the excitation-capacitance, winding temperature rise, and minimum generator size is for 5 HP, 400 V, 50 Hz, and star connection generator.


ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 122
Author(s):  
Andri Pradipta ◽  
Santi Triwijaya ◽  
Mohamad Ridwan

Induction motors are widely used in industrial processes, vehicles and automation. Three-phase induction motors can be used for traction systems on electric locomotives. In this case, the speed control system is an important thing that must be applied to the propulsion system. This study aimed to test the indirect torque control for a Three-phase induction motor. A proportional integral (PI) controller was applied for speed controller. The indirect torque control system was modeled and simulated using PSIM software. According to the result, the control method showed a good performance. The speed could be maintained even the speed reference was changing or a load was applied. The steady state error of the speed response was just 0.1% with rise time around 0.06 s. The stator current went up to 39.5 A in starting condition. The stator current reached 12 A rms when the load of 10 Nm was applied. Then, the current rose to 15.7 A rms when the load was increased to 40 Nm and the current came down to 12.8 A rms when the load was decreased to 20 Nm.


Measurement ◽  
2022 ◽  
Vol 187 ◽  
pp. 110181
Author(s):  
Ali Namdar ◽  
Haidar Samet ◽  
Mehdi Allahbakhshi ◽  
Mohsen Tajdinian ◽  
Teymoor Ghanbari

2021 ◽  
Author(s):  
Atif Iqbal ◽  
Prathap Reddy ◽  
Mohammad Meraj

Electrical Machines are driving the modern world in one way or the other. The modern world is moving towards the sustainability of ecological systems and greener modes of transportation to stabilize the environmental conditions for future generations. For this, the multiphase machines have risen as efficient solutions over traditional 3-phase electrical machines. In this project, a Pole Phase Modulated (PPM) multiphase induction motor drive is developed for gearless electric vehicle applications. With the help of conventional pole changing techniques (like using multiple auxiliary windings or dual stator windings) variable speed and torques can be achieved but the poor copper utilization, de-energization of the windings, and multiple auxiliary windings are the major limitations. In this project, a novel single stator winding multiphase induction motor is developed that is capable of delivering variable speed-torques by varying the number of phases as well as poles simultaneously using novel multiphase power converter topologies. Moreover, the proposed drive offers high fault-tolerant capability, the ability to handle high power with reduced voltage ratings of power electronic devices, better torque/power distribution, and improved efficiency with a lesser magnitude of space harmonics, etc. The proposed drive gives similar speed torque characteristics of conventional IC-based conventional vehicles, which helps in the elimination of the gearbox system in the EVs. This minimizes the cost, size, weight, and volume of the vehicle. Two-level inverters and multilevel inverters with carrier phase shifted space vector PWM are developed for achieving the better performance of the PPM-based MIM drive w.r.t. efficiency, torque ripple and DC link utilization. Fault-tolerant operation of the drive with respect to inverter switch or source failures is also developed as a part of the project and presented. To operate the PPM-based MIM drive smoothly in different pole phase combinations, the indirect field-oriented vector control is developed and presented.


2021 ◽  
Author(s):  
Ang Joey

<p>The induction motor is considered the workhorse of the industry as it is used in most of the engineering applications. It is essential to ensure a safe and reliable operation of the induction motor in every system. Among the various types of induction motor faults, stator winding insulation fault accounts for a high percentage of it. As such, being able to detect early stages of insulation faults within the equipment using the method proposed in this paper would prove to be useful in providing timely maintenance. The proposed method in this paper is the non-intrusive impedance extraction method for online stator winding fault detection of induction motor. By observing the health condition of the motor in relation with its impedance, early stages of faults can be detected and rectified. Hence, eliminating potential safety hazards, reducing motor downtime as well as lowering the cost of maintenance. Experimental results shown will prove the reliability and accuracy in which the method proposed would provide. At the same time, its installation and removal are less complicated as compared to other methods hence is cost and time efficient.<b></b></p>


2021 ◽  
Author(s):  
Ang Joey

<p>The induction motor is considered the workhorse of the industry as it is used in most of the engineering applications. It is essential to ensure a safe and reliable operation of the induction motor in every system. Among the various types of induction motor faults, stator winding insulation fault accounts for a high percentage of it. As such, being able to detect early stages of insulation faults within the equipment using the method proposed in this paper would prove to be useful in providing timely maintenance. The proposed method in this paper is the non-intrusive impedance extraction method for online stator winding fault detection of induction motor. By observing the health condition of the motor in relation with its impedance, early stages of faults can be detected and rectified. Hence, eliminating potential safety hazards, reducing motor downtime as well as lowering the cost of maintenance. Experimental results shown will prove the reliability and accuracy in which the method proposed would provide. At the same time, its installation and removal are less complicated as compared to other methods hence is cost and time efficient.<b></b></p>


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6767
Author(s):  
Michal Adamczyk ◽  
Teresa Orlowska-Kowalska

Fault-tolerant control (FTC) solutions are increasingly being used in modern drive systems with AC motors. Such systems provide a higher degree of security and solutions that allow the on-line detection and localization of failures, as well as the switching of the control mode to a mode that allows us to continue the operation or safely stop the drive system. As the current sensors (CSs) are necessary to ensure precise control of the AC motors, in the event of their failure, one of two strategies can be used—hardware or software redundancy. The first strategy requires the use of additional measuring sensors. For this reason, the algorithmic solution, based on the Luenberger Observer (LO), has been proposed in this article as one of the software redundancy methods. In contrast to methods presented in the literature, the proposed solution allows one not only to compensate the stator current in a phase with a faulty CS, but also to adjust the correction of current estimation based on a measured signal in the other phase with a healthy CS. Extensive simulation studies in the direct rotor flux-oriented control (DRFOC) structure with the induction motor (IM) confirm the effectiveness of the proposed method. In addition, the proposed solution allows the drive system to be controlled even if all CSs are damaged.


2021 ◽  
Vol 96 ◽  
pp. 107490
Author(s):  
Soukaina El Daoudi ◽  
Loubna Lazrak ◽  
Najib El Ouanjli ◽  
Mustapha Ait Lafkih

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