Do you want to publish a course? Click here

A Simulation of gain filters to target tracking in radar system by using Matlab

محاكاة مرشحات الربح في تعقب الهدف للنظام الراداري باستخدام MATLAB

1601   5   49   0 ( 0 )
 Publication date 2015
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

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 put 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.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة مشكلة تقليل الضجيج من الإشارة الرادارية وتحسين دقة تعقب الهدف باستخدام مرشحات كالمن المتطورة. تعتمد هذه المرشحات على التقدير الدقيق للمتوسطات الإحصائية للإشارات وصياغتها بتعبير رياضي واضح. تم استخدام برنامج الماتلاب لمحاكاة ومقارنة أداء مرشحات كالمن بمتحولين (الموقع والسرعة) وثلاثة متحولات (الموقع، السرعة، والتسارع) لتحديد أقل قيمة للخطأ المدروس في تعقب الهدف. أظهرت النتائج أن مرشحات كالمن تعتبر حلاً مثالياً لتقليل الخطأ وتحسين دقة تعقب الأهداف في الأنظمة الرادارية. كما تم دراسة مرشحات الربح الثابتة مثل مرشحات αβ و αβγ ومقارنتها بمرشحات كالمن من حيث الأداء والدقة في تعقب الأهداف.
Critical review
دراسة نقدية: تعتبر الدراسة شاملة ومفصلة في تحليلها لمشكلة تعقب الأهداف وتقليل الضجيج في الأنظمة الرادارية. ومع ذلك، يمكن أن تكون الدراسة أكثر قوة إذا تم تضمين تجارب عملية بجانب المحاكاة الحاسوبية لتأكيد النتائج النظرية. كما أن الدراسة تركز بشكل كبير على الجانب الرياضي والنظري دون تقديم تطبيقات عملية واضحة يمكن أن يستفيد منها المهندسون في الميدان. بالإضافة إلى ذلك، يمكن تحسين الدراسة بإضافة مقارنة مع تقنيات أخرى لتعقب الأهداف غير مرشحات كالمن لتقديم رؤية أشمل عن الموضوع.
Questions related to the research
  1. ما هي المشكلة الرئيسية التي تعالجها الدراسة؟

    المشكلة الرئيسية هي تقليل الضجيج من الإشارة الرادارية وتحسين دقة تعقب الهدف.

  2. ما هي الأدوات المستخدمة في الدراسة لمحاكاة ومقارنة أداء المرشحات؟

    تم استخدام برنامج الماتلاب لمحاكاة ومقارنة أداء المرشحات.

  3. ما هي المرشحات التي تم دراستها في البحث؟

    تم دراسة مرشحات كالمن بمتحولين (الموقع والسرعة) وثلاثة متحولات (الموقع، السرعة، والتسارع) بالإضافة إلى مرشحات الربح الثابتة مثل αβ و αβγ.

  4. ما هي النتائج الرئيسية التي توصلت إليها الدراسة؟

    النتائج الرئيسية تشير إلى أن مرشحات كالمن تعتبر حلاً مثالياً لتقليل الخطأ وتحسين دقة تعقب الأهداف في الأنظمة الرادارية.


References used
Radar Systems analysis and design-BassemR. Mahafaz ,Ph.D. COLSA Corporation Huntsville, Alabama-2009.134
Kalman Filtering and Neural networks- MakotenYassg- 2012.6
The Simultaneous On –Line Estimation of Parameters and states in Linear Systems-t-TamorTosdkta -2011.13
rate research

Read More

This paper presents a three phase shunt Active Power Filter (APF) for power quality improvements in terms of harmonics compensation. The compensation process is based on measure non-liner load currents and Active Filter currents, and then extract t he references from measured currents. Measured currents are then transferred from abc frame to d-q reference frame. A Synchronous Proportional Integral controller (Synchronous PI controller) is used. The control signals then drive the Pulse Width Modulation (PWM) routine, where its output controls the Voltage Source Inverter (VSI) switching devices. The performance of the Active Filter and the Synchronous PI controller is validated though the simulink results in MATLAB environment.
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 present paper provides a mathematical dynamic modelling and analysis of a newly developed electrical power supply system for petrol cars. The main goal of this research work is to improve the economic operation of the car’s electric power supply aiming at fuel economy improvement and for less gases emission. The proposed scheme has been studied and investigated using MATLAB/SIMULINK(R) toolbox and C language. The dynamic behaviour of the proposed system has been analysed for two different driving cycles and the results showed a fuel economy improvement in the investigated two cases. It is shown that the proposed approach is very superior to the conventional one, which is widely used in most of public cars. However, it also shows very encouraging results in terms of fuel save and less gas emission. The main advantage of the method proposed is its applicability to any first or second hand low cost cars.
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.
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.

suggested questions

comments
Fetching comments Fetching comments
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا