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العنوان
Sensorless Speed Control of Brushless DC Motor Using Fuzzy Logic Controller /
المؤلف
Elsayed, Mahmoud Taha Mahmoud Mohamed.
هيئة الاعداد
باحث / محمود طه محمود محمد السيد
مشرف / أســامة الســــيد جــودة
مشرف / غــــــــادة محمـــــد عــــــــامر
مناقش / عمــــر محمد ســـــــــالم
الموضوع
Brushless direct current electric motors.
تاريخ النشر
2016.
عدد الصفحات
145 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة بنها - كلية الهندسة ببنها - الهندسة الكهربية
الفهرس
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Abstract

n this thesis the design and development of a speed controller for a Brushless DC motor is discussed. The modeling and simulation of the complete drive system is described. The speed control for BLDC using PI controller and Fuzzy logic controller has been designed and implemented. Also the design and implementation of hybrid controller by combining the PI and FLC controller has been done in MATLAB with two switching schemes and compared with PI and FL results. The dynamic performance of BLDC is analyzed by simulation in MATLAB/Simulink environment. Effectiveness of the model is established by performance prediction over a wide range of operating conditions.
After using PI to tune under optimization technique, over shoot and settling time has decreased. The PI controller provides a better performance in terms of low ripples and good steady state accuracy, but these controllers pose difficulties such as load disturbances and parametric variations.
The FLC provides a better performance than PI controller in term of overshoot limitation, fast operation, smooth response and overcome the performances issues of PI controller. The advantage of one type of controller turns out to be a disadvantage of the other.
The hybrid controller which combines both these controllers obtains the advantages of both these types of controllers. Also, from the simulation results it can be concluded that the hybrid controller performs better than PI controller and FLC. The hybrid PI-FL controller obtained using two switching schemes which decides the prominence of PI and FL controller under the operating conditions, logical switching and smart blending. The speed response with smart blending controller has the smallest overshoot 0.75% and 0.05% steady state error. It has a good adaptability and strong robustness whenever the system is disturbed and obtained a good torque response as compared to other controllers. from simulation results, it is observed that the overall performance of sensorless speed control of BLDC motor with the hybrid PI-FL controller using Smart blending scheme is better on most counts.