Advance Protection for Three Phase Induction Motor using Microcontroller Atmega32

Author(s):  
Karan S Belsare ◽  
Gajanan D Patil

A low cost and reliable protection scheme has been designed for a three phase induction motor against unbalance voltages, under voltage, over voltage, short circuit and overheating protection. Taking the cost factor into consideration the design has been proposed using microcontroller Atmega32, MOSFETs, relays, small CTs and PTs. However the sensitivity of the protection scheme has been not compromised. The design has been tested online in the laboratory for small motors and the same can be implemented for larger motors by replacing the i-v converters and relays of suitable ratings.

Author(s):  
Karan S Belsare ◽  
Gajanan D Patil

A low cost and reliable protection scheme has been designed for a three phase induction motor against unbalance voltages, under voltage, over voltage, short circuit and overheating protection. Taking the cost factor into consideration the design has been proposed using microcontroller Atmega32, MOSFETs, relays, small CTs and PTs. However the sensitivity of the protection scheme has been not compromised. The design has been tested online in the laboratory for small motors and the same can be implemented for larger motors by replacing the i-v converters and relays of suitable ratings.


Author(s):  
Hussein. A. Taha ◽  
M. E. Ammar ◽  
M. A. Moustafa Hassan

This chapter discusses modeling and analysis methods for fault detection and diagnosis of stator inter-turn short circuit in three-phase induction machines. dq frame was used to model the induction motor for both health and fault cases to facilitate recognition of motor current and simulate motor environment. Fault diagnosis system was designed with adaptive neuro-fuzzy inference system (ANFIS) to provide an efficient online diagnostic tool. ANFIS diagnostic tool was trained with simulated data that generated by induction motor healthy and faulty models. Approached tool is verified online with a motor under different loading conditions. It determines the fault severity values using the motor current signature analysis (MCSA). Developed tool performance is investigated with a case study of two HP three-phase induction motor using Matlab/Simulink® software.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Ali Hmidet ◽  
Olfa Boubaker

In this paper, a new design of a real-time low-cost speed monitoring and closed-loop control of the three-phase induction motor (IM) is proposed. The proposed solution is based on a voltage/frequency (V/F) control approach and a PI antiwindup regulator. It uses the Waijung Blockset which considerably alleviates the heaviness and the difficulty of the microcontroller’s programming task incessantly crucial for the implementation and the management of such complex applications. Indeed, it automatically generates C codes for many types of microcontrollers like the STM32F4 family, also used in this application. Furthermore, it offers a cost-effective design reducing the system components and increasing its efficiency. To prove the efficiency of the suggested design, not only simulation results are carried out for a wide range of variations in load and reference speed but also experimental assessment. The real-time closed-loop control performances are proved using the aMG SQLite Data Server via the UART port board, whereas Waijung WebPage Designer (W2D) is used for the web monitoring task. Experimental results prove the accuracy and robustness of the proposed solution.


2013 ◽  
Vol 569-570 ◽  
pp. 481-488
Author(s):  
Jin Jiang Wang ◽  
Robert X. Gao ◽  
Ru Qiang Yan

This paper presents a new approach for bearing defect diagnosis in induction motor by taking advantage of three-phase stator current analysis based on Concordia transform. The current signature caused by bearing defect is firstly analyzed using an analytic model. Concordia transform is performed to extract the instantaneous frequency based on phase demodulation. The bearing defect feature is then identified via spectrum analysis of the variation of current instantaneous frequency. Both simulation and experimental studies are performed to demonstrate the effectiveness of proposed method in identifying bearing defects. The method is inherently low cost, non-invasive, and computational efficient, making it a good candidate for various applications.


2012 ◽  
Vol 457-458 ◽  
pp. 1377-1382
Author(s):  
Yu Jie Chen ◽  
Cong Hu ◽  
Yi Ze Sun ◽  
Zhuo Meng

For a determination of the system’s efficiency and decrease the cost, a low cost system for measuring solar irradiance is designed. By analyzing the influence of solar irradiance and temperature to solar cell, we have found that in case of different temperatures the variation of short-circuit current (Isc) in function of solar irradiation incident (E) is always linear. Then the read-out circuitry is designed to measure and convert the signal which is detected by the photoelectric cell and thermocouples. At last, the software is developed to compensate the temperature and make sure the device work normally. The results of detecting the system show that it’s effective and reliable.


The use of Induction Motor (IM) has been increased becuase of it’s robust construction , simple design , and low cost . This paper presents a methodology for the application and performance of Fuzzy like PI Controller to set the frequency of Space Vector Pulse-Width modualtion (SVPWM) Inverter applied to closed loop speed control of IM. When the controller is used with current controller, the quadratic component of stator current is estimated by the controller. Instead of using current controller, this paper proposes estimating the frequency of stator voltage. The dyanamic modelling of the IM is presented by dq axis theory. From the simulation results, the superiority of the suggested controller can be observed in controlling the speed of the three-phase IM.


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