Abstract
In this work, a Mean–Variance Mapping Optimization (MVMO) based adaptive PID controller is developed for a chemical process with variable time delay. For this, an adaptive tuning equation is obtained based on delay time variation. In order to verify the performance of the proposed controller, a comparison against an adaptive Smith Predictor, an adaptive control tuned by Dahlin equations and a Gain Scheduling controller through the ISE, TVu indexes is made. The simulations results show that the response of the system with the proposal approach improves the performance of the process with variable time delay.
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Authors thank to PII-19-03 and PIGR-19-17 Projects of the Escuela Politécnica Nacional, for its sponsorship for the realization of this work.
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Salazar, E., Herrera, M., Camacho, O. (2021). An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay. In: Botto-Tobar, M., Zamora, W., Larrea Plúa, J., Bazurto Roldan, J., Santamaría Philco, A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_29
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