الفهرس 
الفصل الأولOnly 14 pages are availabe for public view
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Abstract
This thesis investigates various control systems to regulate the position and speed of servo motors, employing PID controllers, fuzzy logic controllers (FLC), fuzzy plus PID controllers, and Genetic algorithms (GA). A tuning process is implemented to decrease rising, settling, and maximum overshoot times for DC servo motor position control, resulting in reduced steady-state error. Each type of controller is compared, and MATLAB software is utilized for validation through simulation. Experimental examination of position and speed regulation of a DC servo motor is conducted, employing fuzzy logic controllers, PID, and PI controllers. The experimental setup includes a system frame, power supply, mechanical units, USB interface units, oscilloscope units, connecting cables, and analog units. Closed-loop speed control principles underlie the system. A magnetic brake simulates load adjustment, while a tachometer converts output speed into electric voltage. An oscilloscope is connected to the output to capture results, correlating reference and actual signals. The primary aim of the thesis is to minimize error rates practically. An experimental investigation into employing PI and PID control techniques for regulating the position and speed of an AC servo motor is also conducted. The study employs a human-machine interface (HMI), programmable logic controller (PLC), servo drive, and other hardware and software tools. Performance of the AC servo motor is evaluated in terms of speed, accuracy, and response characteristics to reduce rising time, eliminate overshoot, and improve settling time. The study concludes that intelligent control methods, such as PI and PID, effectively enhance the response properties of AC servo motors compared to conventional methods, with implications for control system design in industrial applications. Hardware and software programmers are utilized for experimentation, incorporating external encoders for elements affected by backlash and software adjustments for backlash values. The experimental setup includes Servo Drive, HMI, PLC, and AC Servo Motor. PID controllers and PI controllers are employed to reduce backlash error and improve servo motor behavior, while tuning processes decrease overshoot and settling time, reducing steady-state error. MATLAB is used for simulation and comparison between experimentally used PI & PID controllers on PLC for controlling AC servo motors.