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: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
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 |