Evolutionary Algorithm to Auto-tuning Hyperbolic Tangent Sliding-Mode Controllers

https://doi.org/10.58571/CNCA.AMCA.2022.050

Resumen: In recent years, control engineers has started to explore new control, optimization and tune paradigms. And they have found that Evolutionary Algorithms (EA) are good alternatives for traditional methods. Thanks to the power to explore high search-spaces with multicombinational problems and a lot of potential solutions. For this reason, in this work an Evolitive Algorithm is planned as a heuristic auto tunning algorithm for Sliding-Mode Controllers. Using an approach by Hyperbolic Tangents. In order to obtain easily implementable control laws with a desirable performance to linear and non-linear systems.

¿Cómo citar?

Hernandez, F., Cortes, D. & Vargas, M. Evolutionary Algorithm to Auto-tuning Hyperbolic Tangent Sliding-Mode Controllers. Memorias del Congreso Nacional de Control Automático, pp. 280-285, 2022. https://doi.org/10.58571/CNCA.AMCA.2022.050

Palabras clave

Control de Sistemas No Lineales; Control Discontinuo (modos deslizantes); Control Inteligente

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