Abstract
In current industries there is a marked need to satisfactorily tune process controllers, mainly caused by the lack of knowledge and time of the technical personnel. Therefore, it is important that any advanced method for control tuning should be simple and friendly, otherwise there is little chance to be used. This article presents a software tool in MATLAB® that facilitates the tuning optimization of nonlinear Proportional Integral Derivative (NPID) controllers with guaranteed robustness. It comprises different evolutionary algorithms to solve a constrained multiobjective optimization problem. It uses the Cultural Algorithm by default, achieving a suboptimal and efficient performance of the NPID for robustness region (NPID-RR) controllers in few iterations and with less computation time with respect to other implemented algorithms. It is a fast, interactive and easy to modify software tool for the user, being of great value for the understanding of the control method, allowing the experimentation in the subject and being very efficient in a large set of common systems in industrial processes, including an actual process of the Cuban steel industry.
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Mendoza, M.R., Martí, L.M., Yero, G.G., Pérez, P.A. (2023). Tuning and Optimization Software for Non-linear PID Controllers with Guaranteed Robustness. In: Llanes-Santiago, O. (eds) Proceedings of 19th Latin American Control Congress (LACC 2022). LACC 2020. Studies in Systems, Decision and Control, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-031-26361-3_6
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