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Modeling and Designing a Control System Using PID Controller & Fuzzy Logic Controller with Matlab / Simulink

المصدر: المجلة الجامعة
الناشر: جامعة الزاوية - مركز البحوث والدراسات العليا
المؤلف الرئيسي: Ahmed, Mustfa Salem (Author)
مؤلفين آخرين: Ali, Jalal (Co-Author) , Alrbaey, Khalid (Co-Author)
المجلد/العدد: مج22, ع1
محكمة: نعم
الدولة: ليبيا
التاريخ الميلادي: 2020
الشهر: مارس
الصفحات: 55 - 78
رقم MD: 1262890
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, EcoLink, IslamicInfo, AraBase, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Simulation | Water Level | Temperature | PID Controller | Fuzzy Logic (FL) | MATLAB & SIMULINK | Proportional Integral Derivative Controller
رابط المحتوى:
صورة الغلاف QR قانون
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LEADER 02431nam a22002897a 4500
001 2015431
041 |a eng 
044 |b ليبيا 
100 |9 673031  |a Ahmed, Mustfa Salem  |e Author 
245 |a Modeling and Designing a Control System Using PID Controller & Fuzzy Logic Controller with Matlab / Simulink 
260 |b جامعة الزاوية - مركز البحوث والدراسات العليا  |c 2020  |g مارس 
300 |a 55 - 78 
336 |a بحوث ومقالات  |b Article 
520 |b This work studies the design and simulation of a water level and temperature controller using Proportional Integral Derivative (PID) Controller and Fuzzy logic (FL) Controller. The simulation of the design system was achieved by utilizing MATLAB and Simulink. The experiment displayed some challenges of methods, non-linear PID Controller and fuzzy logic (FL) in the system designed. PID controllers were implemented separately to control the water level and temperature with deferent parameters. However the (FL) process was implemented to control both, water level and temperature. The challenges with this method lead in the tuning and selection of the fuzzy sets. The experiment showed that both control systems are important in their own right. The two controllers used to combine the system in order to improve the accuracy and precision of the result. Results demonstrated that more accurate response was obtained using a PID system, which did not show any study state error, whereas Fuzzy Logic Controller is relatively easy as compared to the Proportional Integral Derivative Controller with the despite of complex mathematical modeling. 
653 |a المنطق الضبابي  |a النمذجة الرياضية  |a درجات الحرارة  |a أنظمة التحكم  |a ليبيا 
692 |b Simulation  |b Water Level  |b Temperature  |b PID Controller  |b Fuzzy Logic (FL)  |b MATLAB & SIMULINK  |b Proportional Integral Derivative Controller 
700 |9 673575  |a Ali, Jalal  |e Co-Author 
700 |9 673041  |a Alrbaey, Khalid  |e Co-Author 
773 |4 العلوم الإنسانية ، متعددة التخصصات  |6 Humanities, Multidisciplinary  |c 010  |e University Bulletin  |l 001  |m مج22, ع1  |o 0928  |s المجلة الجامعة  |v 022 
856 |u 0928-022-001-010.pdf 
930 |d n  |p y  |q n 
995 |a EduSearch 
995 |a EcoLink 
995 |a IslamicInfo 
995 |a AraBase 
995 |a HumanIndex 
999 |c 1262890  |d 1262890 

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