Passivity-based induction motor speed control: unknown load torque case

This paper gives an overview on Speed control of Induction Motor via Pic Controller using Lab VIEW. For Monitoring and controlling the Induction motor speed we can use the Lab View Simulation software. Lab VIEW Software can be used for continuous monitoring in an Real Time System applications. Most of the Industrial Automation control process are done by Lab VIEW software only. Lab VIEW Software plays major role in Industrial Monitoring and control systems. There are various types of controller used in Drive control systems in order to perform some actions such as Speed control, Run Motor in both forward and reverse direction. Here we have used Pic Controller for speed control process. From Lab VIEW software we can send Signals to Pic Controller to Run Induction Motor in either Forward/Reverse Direction and we can set the Speed of the Motor.

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Adaptive Control of Induction Motor Under Magnetic Saturation with Uncertain Rotor Resistance and Unknown Load Torque with Stator Currents and Fluxes Measurements

2006 International Conference on Computer Engineering and Systems ◽

10.1109/icces.2006.320439 ◽

2006 ◽

Author(s):

Mohamed M. Ismail ◽

Hossam A. Abdel Fattah ◽

Ahmed Bahgat

Keyword(s):

Adaptive Control ◽

Induction Motor ◽

Magnetic Saturation ◽

Load Torque ◽

Rotor Resistance ◽

Unknown Load

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Model Reference Neural Network Controller for Induction Motor Speed Control

IEEE Power Engineering Review ◽

10.1109/mper.2002.4312121 ◽

2002 ◽

Vol 22 (4) ◽

pp. 73-73 ◽

Cited By ~ 2

Author(s):

T. C. Chen ◽

T. T. Sheu

Keyword(s):

Neural Network ◽

Induction Motor ◽

Speed Control ◽

Motor Speed ◽

Model Reference ◽

Neural Network Controller ◽

Network Controller

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DPLL Induction motor speed control: Stability and parameter variation analysis

2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) ◽

10.1109/cistem.2014.7077009 ◽

2014 ◽

Author(s):

Salah Beni Hamed ◽

Mouna Ben Hamed

Keyword(s):

Induction Motor ◽

Speed Control ◽

Parameter Variation ◽

Variation Analysis ◽

Motor Speed ◽

Control Stability

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Induction Motor Speed Control using Fuzzy Neural Network Speed Estimation

Proceedings of the 4th International Joint Conference on Computational Intelligence ◽

10.5220/0004153106200625 ◽

2012 ◽

Keyword(s):

Neural Network ◽

Induction Motor ◽

Fuzzy Neural Network ◽

Speed Control ◽

Speed Estimation ◽

Motor Speed ◽

Fuzzy Neural ◽

Network Speed

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A High Accuracy Speed Control of DC Motor Using Adaptive Torque Compensation on Lyapunov Stability with Kalman Filter

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.835.673 ◽

2016 ◽

Vol 835 ◽

pp. 673-680

Author(s):

Chermdhong Prattanaruk ◽

J. Srisertpol

Keyword(s):

Kalman Filter ◽

Control System ◽

Lyapunov Stability ◽

Speed Control ◽

Dc Motor ◽

High Accuracy ◽

Torque Control ◽

Motor Speed ◽

Load Torque ◽

Accuracy Speed

The speed control system of DC motor normally uses increasing of electric current and voltage for obtaining required speed and torque with regardless of effects from variable of load torque to system. Including that noise will make some errors in speed and torque control. This research aims to present a method for developing the high accuracy in speed control of DC motor by a technique of adaptive torque compensation that is evolved on Lyapunov stability and using Kalman filter for screening out the evident noises in the system. Results reveals that the adaptive torque compensator evolved from the Lyapunov stability can compensate a stable torque and when it is worked with Kalman filter, it can compensate torque correctly and can control more accuracy of motor speed.

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