Optimal I-PD Controller Design to Reduce Set-Point Kick by Flower Pollination Algorithm for DC Motor Speed Control
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Abstract
The proportional–integral–derivative (PID) controller is widely used as the main controller in feedback control systems. However, a major drawback of the conventional PID controller is its sensitivity to sudden changes in the reference input, which leads to control signal amplification, commonly known as set-point kick. This phenomenon can adversely affect actuators in practical applications. To address this issue, the PID controller is modified into an I–PD controller, in which the proportional and derivative actions are applied only to the process variable rather than the reference signal.
This research presents the design of an optimal I–PD controller aimed at reducing the set-point kick phenomenon. The controller parameters are optimized using the Flower Pollination Algorithm (FPA) and applied to a DC motor speed control system. The results demonstrate that the proposed I–PD controller significantly reduces control signal amplification compared to the conventional PID controller. Furthermore, the simulation results are validated through experimental implementation on a laboratory-scale DC motor speed control system, confirming the effectiveness of the proposed approach.
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References
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