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Performance Evaluation of Classic and Intelligent Controllers for Actuators

Ali, Mirna
Kamal, Jana
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This capstone project focuses on optimizing actuator control, specifically for DC motors. The project aims to design and evaluate various controllers, ranging from classic to intelligent. Finding the optimal controller for a DC motor offers many advantages, including stability, robustness, and precise control, which are useful in fields like robotics. This paper proposes several controllers: pole placement, different configurations of PID, LQR, and LQI with different optimization techniques, fuzzy logic, and adaptive neuro-fuzzy controller schemes. The MATLAB environment was used to develop and test these controllers. Their performance was measured in terms of rise time, settling time, and overshoot. Based on the performance, the I-PD controller is overall the optimal controller for the DC motor. It achieves the fastest rise time of 507.7 msec, a settling time of 2.3 sec, and an overshoot of 0.51%
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