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العنوان
Intelligent Controller for Networked Control Servo Systems /
المؤلف
El-Said, Ahmed Abd-Elbadie Mohammed.
هيئة الاعداد
باحث / أحمد عبد البديع محمد السيد
مشرف / محمد مبروك شرف
مشرف / محمد عبد العظيم البردينى
مشرف / أحمد محمد النجار
الموضوع
Hydraulic servomechanisms. Servomechanisms.
تاريخ النشر
2018.
عدد الصفحات
173 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
الناشر
تاريخ الإجازة
11/3/2018
مكان الإجازة
جامعة المنوفية - كلية الهندسة الإلكترونية - هندسة الإلكترونيات التحكم والصناعة
الفهرس
Only 14 pages are availabe for public view

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from 173

Abstract

Recently, there is a major development in communications systems, especially in the networking. Therefore, the communication networks are used in industrial systems for transmission the control signal to the actuator and send the measured output to the controller, which as networked control systems (NCSs). In addition, NCSs have more advantage but there are some problems, which affect the system performance and may lead to instability, like transmission delays and data dropouts. The Smith predictor inserts in a loop around the controller, which plays the role to produce future predicted outputs. The Smith predictor compensates the delays in the network and improves the performance of the controllers. The major objective of the research undertaken in this thesis was to develop and implement intelligent controllers based on the modified Smith predictor, which is proposed to handle the problems of the NCSs. Firstly, two structures of Smith predictor are proposed which named as modified Smith predictor 1 and modified Smith predictor 2. The modified Smith predictor structures are able to compensate the network delay and improve the performance of the controllers. In addition, three controllers have been proposed; the first controller is the fuzzy proportional – integral controller with modified Smith predictor. The second controller is the model predictive control with modified Smith predictor where the internal model of the controlled system is identified off-line. The third controller is the fuzzy model predictive controller with modified Smith predictor where the internal model of the controlled system is identified on-line using T-S fuzzy models based on the Lyapunov theorem. The simulation results for the proposed controllers are established based on Matlab/Simulink and True-Time toolbox. The proposed controllers have been designed and implemented practically for controlling the speed of a DC servo system via a wireless network to overcome the network delay and packet losses, which are the main problems of the NCSs. The Simulation and practical results show good.