الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
With the rapid development of technology of hydraulic automation systems is observed in our current era, an ongoing effort to introduce engineering technology, automated solutions in everyday life with an emphasis on the field of hydraulic automation systems. The systems sector develops increasingly their fields of application, whether simple or hydraulic circuits for modern hydraulic automation circuits. This thesis outlines the use of a statistical multivariate technique called Principal Component Analysis (PCA) and applies it to the monitoring and control of electro- hydraulic servo systems. The experiments were conducted using on-off and PID approaches to control the position of a hydraulic cylinder under different valve duty and different PID coefficients. This approach was implemented using data from position sensor with programmable logic controller (PLC) with the aid of a supervisory control and data acquisition system (SCADA) to control the system and make online monitoring for the behavior of the hydraulic cylinder. The SCADA concept was developed to be a universal means of remote access to a variety of local control modules, which could be from different manufacturers and allowing access through standard automation protocols. SCADA is one of the most commonly used types of industrial control systems, both large and small systems can be built using SCADA concept ,these systems can range from just tens to thousands of control loops depending on the application. PCA was used to detect the best duty and coefficient of the process. The results shows the superiority of PID control over on-off control. Moreover, SCADA approach gives the advantage to adjust PID parameters online to save more time. The proposed technique can be used for electro- hydraulic servo system monitoring in a real-time environment.