Abstract
In this paper, a theoretical framework for controlling a time-delayed system using Smith predictive PID controller based on fuzzy logic is proposed. The conventional PID controller is not effective if the system is nonlinear and has high overshoot. A combination of fuzzy logic controller and Smith predictor is used to get optimum response of the system. Also the PID parameters are optimized using LQR and the system response is compared with fuzzy logic-based controllers. Simulation results showed that proposed control algorithm has the advantages of strong adaptive ability and noise immunity.
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Vijayan, R., Praseetha, P.P., Vaz, D.J., Bagyaveereswaran, V. (2016). Control of a Time-Delayed System Using Smith Predictive PID Controller. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_37
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DOI: https://doi.org/10.1007/978-81-322-2671-0_37
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