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Register a new userMolelindg, Simulation and Dynamics Analysis of Electric Motor which studied By General Theory Of Machines For Apply It In The Electromechanical Systems, Using Different Approaches and Vertification By MATLAB/Simulink
نمذجة و محاكاة و تحليل ديناميكية المحرك الكهربائي انطلاقاً من النظرية العامة للآلات، لتطبيقها في الأنظمة الكهروميكانيكية، باستخدام مقاربات مختلفة و تحقيق ذلك باستخدام Matlab/Simulink
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يتم اللجوء إلى النظرية العامة للآلات الكهربائية لتسهيل دراسة و تمثيل الآلة الحقيقية و الظواهر المعقدة التي تحدث فيها أثناء الحالة العابرة حيث نمثل الآلة الحقيقية بآلة أخرى مثالية مكافئة بحيث تكون الظواهر الفيزيائية في هذه الآلة النموذجية مشابهة لتلك التي تحدث في الآلة الحقيقية.
We used the general theory of electrical machines to facilitate the study and representation of the real machine and complex phenomena in which it occurs during transient situation where we represent the real machine other machine ideal equivalent to represent the physical phenomena in these model machine similar to those that occur in the real machine.
References used
M. S. RUSU, and L. Grama, The Design of a DC Motor Speed Controller, Fascicle of Management and Tech. Eng., Vol. VII (XVII), 2008, pp. 1055-1060
Chun Htoo Aung, Khin Thandar Lwin, and Yin Mon Myint, Modeling Motion Control System for Motorized Robot Arm using MATLAB, World Academy of Science, Engineering and Technology 42 2008
Halila A., Étude des machines à courant continu, MS Thesis, University of LAVAL, (Text in French), May 2001
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Since the invention of Fuzzy logic and fuzzy control, the latter has been growing in spread
and importance in many applications and devices in many life aspects. This maybe due to
the easy use of a fuzzy control system, and for being far of math co
mplications. Even if the
plant model is unknown, a self-organizing fuzzy controller (SOFC) can improve the
response of an already exist linear control table, or even can build a control table from
scratch, by assessing current performance of the controller and adjusting the control table
accordingly. This paper provides a simple article that shows how to design and use a self organizing
fuzzy controller, through a simulation example using MATLAB & Simulink
in which a variable torque loaded DC motor speed regulation is done. The simulation
showed the ability of the controller to provide a good response and decrease speed error by
a notable amount at load torque changing times. This paper can be used as textbook
material for students or researchers interested in the field of adaptive control, especially
self-organizing fuzzy control.
The most important problem is to reduce radar signal noise ,so we must design a
pattern to process signal from source to destination. We might study target tracking by
using Kalmen filters which estimate the exact statistical average signals and pu
t a
mathematical relationship to the optimal detection technique for radar system with two
variations (position, velocity) and three variations (position, velocity, acceleration). Then,
we compare these filters by Matlab to check the least value for the studied error.
This research deals with improving the efficiency of solar photovoltaic (PV) power
systems using a Fuzzy Logic Controller (FLC) for Maximum Power Point Tracking
(MPPT), to control the duty cycle of DC-DC Voltage Converter, to achieve the
photovolt
aic system works at a Maximum Power Point under different atmospheric
changes of the solar insolation and ambient temperature. In this context, this research
presents a new model for FLC developed in Matlab/Simulink environment. The proposed
model for the controller is based on the conventional Perturb and Observe (P&O)
technique. Where, in similar to the conventional P&O technique, the changes in the Power
and tension of photovoltaic power system, are considered as the input variables of the
proposed controller, while the output variable is the change in the duty cycle. The main
advantage of the developed controller FLC, based on the considering the change in the
duty cycle has a Variable Step Size, and directly related to the changes in the power and
tension of the Photovoltaic system. Which make it possible to overcome the problem of
fixed Step Size in the change of the duty cycle in the conventional MPPT- P&O Controller
based on P&O technique. The MPPT- P&O Fuzzy, works by a variable step size achieve a
fast speed response and high efficiency for tracking the MPP point under sudden and
rapidly varying atmospheric conditions, compared with the conventional MPPT- P&O. The
simulation results completed in Matlab/Simulink environment, showed the best
performance of developed MPPT- P&O Fuzzy controller in tracking the MPP by achieving
a better dynamic performance and high accuracy, compared with the use of the
conventional MPPT- P&O under different atmospheric changes.
محرك الخطوة من أكثر المحركات المستخدمة في أنظمة التحكم عندما يراد
التحكم بالحركة و الموضع معاً، و لعل المحرك الخطوي الهجين يعتبر من أهم هذه
الأنواع ، و موضوع أنظمة التحكم الخاصة بعمل هذا النوع من المحركات يعتبر
مهماً جداً خاصة مع استخدام مفهوم الأ
تمتة في هذه الأيام، لذا فإن تصميم نموذجٍ
لنظام التحكم و محاكاته باستخدام برنامج MATLAB يعد تطبيقاً عملياً لنظام التحكم
بعمل المحرك الخطوي الهجين، و دراسة العوامل المؤثرة عليه ببساطة و سهولة و بتوفير
للوقت و الجهد و الكلفة إضافة لإمكانية التأكد من صحة النتائج و دقتها.
In this research, a research and educational tool for studying the sensitivity of the vehicle's suspension system to the properties and parameters of the suspension’s components is developed. This tool is a program that can study different models cre
ated using the Matlab/Simulink software package with its various libraries. Different types of models can be analysed, such as differential equation models expressing a mathematical model, block diagrams, or state space models. The tool also enables students to identify the suspension’s components, and its basic design parameters, and choose these parameters. Researchers and students will be able to test their models in terms of response, overshoot, and sensitivity, when conducting simulations in different working conditions.
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