پایگاه علمی سعید سان دانلود رایگان مقالات علمی کنفرانس و ژورنال
روش مبنی بر منطق فازی برای کنترل سرعت موتور DC
در نوشتجات مدل های گوناگونی برای کنترل سرعت موتور DC در دسترس می باشد. این مقاله طراحی و پیاده سازی منطق fuzzy را در کنترل سرعت موتور DC ارایه می دهد. منطق فازی _بخاطر قابلیت آن برای لحاض کردن مجهولات و نامعلومات_ کاربرد زیادی را به عنوان روش های کنترل سرعت پیدا کرده است. این مقاله یک مدل شبیه سازی MATLAB را برای کنترل سرعت موتور DC با استفاده از منطق فازی، ارایه می دهد.
کلیدواژه ها: منطق fuzzy، کنترل Fuzzy، موتور DC.
پروژه کارشناسی ارشد برق
International Journal of Emerging Technology and Advanced Engineering
Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 4, April 2013)
64
Fuzzy Logic Based Method of Speed Control of DC Motor
Jaydeep Chakravorty1, Ruchika Sharma2
1Head of Department, 2Lecturer, Electrical Engineering, Baddi University, Solan, HP
Abstract– Various method of speed control of DC motor is
available in the literature. This paper presents design and
implements of fuzzy logic in the speed control of DC motor.
Fuzzy logic has found high application as a speed control
techniques because of its ability to take into account vague
and uncertainties [1]. This paper presents a MATLAB
simulink model for speed control of DC motor using fuzzy
logic.
Keywords– Fuzzy Logic, Fuzzy Control, DC Motor.
I. INTRODUCTION
Recently, Fuzzy logic control has found many
applications in the past decade. This is so largely because
fuzzy logic control has the capability to control nonlinear,
uncertain systems even in the case where no mathematical
model is available for the controlled system. A fuzzy logic
controller can be regarded as a real-time expert system that
employs fuzzy logic to manipulate qualitative variables.
Fuzzy logic control is a control algorithm based on a
linguistic control strategy, which is derived from expert
knowledge into an automatic control strategy. Fuzzy logic
control doesn’t need any difficult mathematical calculation
like the others control system. While the others control
system use difficult mathematical calculation to provide a
model of the controlled plant, it only uses simple
mathematical calculation to simulate the expert knowledge.
Although it doesn’t need any difficult mathematical
calculation, but it can give good performance in a control
system. Thus, it can be one of the best available answers
today for a broad class of challenging controls problems.
II. THE MODEL OF DC MOTOR CONTROL
The model presented in this paper did not use the inbuilt
MATLAB DC motor from simulink, instead the Dc motor
has been designed from its characteristic differential
equation and it is shown in Fig.1
III. THE FUZZY LOGIC CONTROL
Fig.1C. Adjusting membership functions and rules.
فایل ورد 9 صفحه ای