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Speed control of permanent magnet DC motors is an important area of engineering applications in electromechanical systems, for which speed performance needs to be sustained with disturbances and variations in loads.The conventional proportionalintegral-derivative (PID) controllers, with their simplicity and low computational complexity, continue to find wide application despite the drawbacks of the approach.The controllers generally fail to cope with the nonlinear behavior and sudden changes in loads, which result in compromised transient and steady-state performance in terms of speed ripple.The performance of such systems can be enhanced by employing sophisticated controllers such as adaptive and predictive controllers; however, the complexity of the controllers may compromise the computational complexity of the approach for practical applications.The paper proposes a novel advanced simulation technique for PID control, utilizing a user-defined lookup table and function in MATLAB to control the PID controller in response to transient operating conditions.The proposed technique ensures the ability to compensate for nonlinear gains without relying on any optimization technique or complex predictive model.Based on the results of the proposed simulation, the PID controller has better stabilization time, reduced overshoot, and improved disturbance rejection characteristics.Hence, the proposed controller has high computational efficiency.
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Ali et al. (2026) studied this question.
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