Abstract
A strategy for optimizing the settings of a dynamical sliding mode controller using an artificial bee colony optimization algorithm is proposed in this paper. The performance of the obtained controller is then evaluated and compared to that of a conventional PID and a dynamical sliding mode controller that has been optimized through a heuristics-based strategy by simulating two integrating linear systems with dead time and inverse response. By utilizing the suggested strategy, it was possible to increase both performance indices and transient characteristics.
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