Dynamical Sliding Mode Controller with Optimized Tuning using Artificial Bee Colony for Integrating Processes with Inverse Response and Deadtime

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This work proposes an approach for tuning the dynamical sliding mode controller parameters using the artificial bee colony optimization algorithm. The performance of the obtained controller is then compared against a traditional PID and a dynamical sliding mode controller optimized using a heuristics approach by simulating two integrating linear systems with dead time and inverse response. An improvement in performance indexes and transient characteristics was achieved using the proposed approach.