SPEED CONTROL OF BRUSHLESS DC MOTOR BY USING PID AND FUZZY LOGIC CONTROLLER
Author(s):
N Arjuna Rao, Dr.Ch.Ravi Kumar
ISSN:
2349-6002
Cite This Article:
SPEED CONTROL OF BRUSHLESS DC MOTOR BY USING PID AND FUZZY LOGIC CONTROLLERInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 4 ,Page(s):72-77 ,September 2019 ,Available :IJIRT148619_PAPER.pdf
Keywords:
Bldc Motor,Pid Controller,Tuning Of Pid Controller,Z-N Method,T-L Method Pso Method,Fuzzy Control Method, Simulink Model.
Abstract
Brushless DC (BLDC) motors are widely used for many industrial applications because of their reliability, high efficiency, high starting torque, and less electrical noise. During the past decades, the process control techniques in industry have made great advances. Many control methods such as conventional control, neural control, and fuzzy control have been studied. In this the performances of BLDC motor have been evaluated with conventional PID control and fuzzy logic control methods. PID controller has been widely used in the industry due to its simple structure and robust performance. But it has been quite difficult to tune properly the gains of high order, time delay and non linearties. Over the years many heuristic methods have been proposed to tune the PID controller. The first method used to find optimal or near optimal PID parameters with ZIGLER AND NICHOLAS and TYREUS-LUYBEN. It is often difficult to find optimal or near optimal PID parameters with ZIGLER AND NICHOLAS, TYREUS-LUYBEN formulas in many industrial plants. Due to new features, PSO and FUZZY LOGIC techniques have been included to improve the controller performance characteristic than other methods. .ZIGLER-NICHOLAS,TYREUS-LUYBEN and PSO and FUZZY LOGIC CONTROLLERS are implemented for the tuning methods to control the BLDC motor in MATLAB/SIMULINK software. The performance characteristics of the BLDC motor are compared with respective these four tuning methods
Article Details
Unique Paper ID: 148619

Publication Volume & Issue: Volume 6, Issue 4

Page(s): 72 - 77
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Volume 6 Issue 6

Last Date 25 November 2019


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