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Speed Control of Induction Motor using Fuzzy Logic Approach


Author(s):

Jyoti Yadav , Mata Raj Kaur Institute of engineering & technology Rewari

Keywords:

V/f induction motor speed control, dq axis theory, Fuzzy Logic controller, Mamdani Architecture

Abstract:

This thesis presents a methodology for implementation of a rule-based fuzzy logic controllerapplied to a closed loop Volts/Hz induction motor speed control. The Induction motor ismodelled using a dq axis theory. The designed Fuzzy Logic Controller’s performance is weighed against with that of a PI controller. The pros of the Fuzzy Logic Controllers (FLCs) over the conventional controllers are: (i) they are economically advantageous to develop, (ii) a wider range of operating conditions can be covered using FLCs, and (iii) they are easier to adapt in terms of natural language. Another advantage is that, an initial approximate set of fuzzy rules can be impulsively refined by a self-organizing fuzzy controller. For V/f speed control of the induction motor, a reference speed has been used and the control architecture includes some rules. These rules portray a nonchalant relationship between two inputs and an output, all of which are nothing but normalized voltages. These are:  The input speed error denoted by Error (e).  The input derivative of speed error denoted by Change of error (Δe), and  The output frequency denoted by Change of Control ( ). The errors are evaluated according to the rules in accordance to the defined member functions. The member functions and the rules have been defined using the FIS editor given in MATLAB. Based on the rules the surface view of the control has been recorded. The system has been simulated in MATLAB/SIMULINK® and the results have been attached. The results obtained by using a conventional PI controller and the designed Fuzzy Logic Controller has been studied and compared. The controller has then been tuned by trial and error method and simulations have been run using the tuned controller.


Other Details:

Manuscript Id :IJSTEV3I1102
Published in :Volume : 3, Issue : 1
Publication Date: 01/08/2016
Page(s): 226-230
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