Speed Control Of Dc Motor Using Fuzzy Logic Thesis

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This makes it a necessity to employ a method to effectively control the speed of a separately excited DC motor.

Many methods are available to regulate the speed of a separately excited DC motor such as PID control, Fuzzy Logic Control, Neural Network Method.

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DC Motors are widely used in industries for various purposes. Many situations demand change in the speed of the DC Motor.

In this thesis the Brush less DC motor speed is controlled by the Neural Network.

Speed Control Of Dc Motor Using Fuzzy Logic Thesis Isbm Operations Management Case Study Answers

The Neural Network tuned Brush Less DC motor speed is controlled via PI gain parameters optimal selection.Error in speed and the derivative of Error are taken as the inputs to the Fuzzy controller and by selecting suitable membership functions we control the output of the Fuzzy controller which is subtracted from the armature supply and then supplied to the armature.Supports Open Access Journal Aims The International Review of Automatic Control (IREACO) is a peer-reviewed journal that publishes original theoretical and applied papers on all aspects of the Automatic Control.uses cookies to personalize content, tailor ads and improve the user experience. By using our site, you agree to our collection of information through the use of cookies. The topics to be covered include, but are not limited to: Control of linear/nonlinear systems, Stability, Controllability and Observations, Modelling Estimation and Prediction, Real-Time Systems control, Real-Time and Fault-Tolerant Systems, Multidimensional Systems control, Large Scale Control Systems, Robust Control, Intelligent Control Systems; Stochastic Control, Fuzzy Control Systems, Neuro-Controllers, Neuro-Fuzzy Controllers, Genetic Algorithms, Adaptive Control Techniques.The applications concern control methods, modelling and identification of processes in the fields of industry, ecology, natural resources, comprising physical, biological and organizational systems.We developed a simulink model of Brush Less DC motor speed control by using the PID controller circuit.The gain parameters of PID module are control by Neural Network and self tuning.The Fuzzy method gives a human like intuition to the control strategy and is self-tolerant to inputs which are no so precise.The Fuzzy Logic Controller contains different components like Fuzzification, Defuzzification and Fuzzy Rule inference.


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