A hybrid control framework for chemical processes with long time delay: theory and experiments
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2024-07
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American Chemical Society
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This paper proposes a hybrid control framework based on internal model concepts, sliding mode control methodology, and fractional-order calculus theory. As a result, a modified Smith predictor (SP) is proposed for nonlinear systems with significant delays. The particular predictive approach enhances the sliding mode control (SMC) controller’s transient responses for dead-time processes, and the SMC gives the predictive structure robustness for model mismatches by combining the previous methods with fractional order concepts; the result is a dynamical sliding mode controller. A numerical example is considered to evaluate the performance of the proposed approach, where a step change, external disturbance, and parametric uncertainty test are performed. A real application in the TCLab Arduino kit is presented; the proposed method presented good performance with a little amount of chattering, and in the disturbance rejection case, the overshoot increased with an aggressive response; in both cases, better tuning parameters can improve the process response and the controller action.
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Di Teodoro, A., Herrera, M., Rincon, L., Gude, J. J., & Camacho, O. (2024). A Hybrid Control Framework for Chemical Processes with Long Time Delay: Theory and Experiments. ACS Omega. https://doi.org/10.1021/ACSOMEGA.3C10514