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OALib Journal期刊
ISSN: 2333-9721
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Aplicación de algoritmos de control clásico, adaptable y robusto a sistemas dinámicos de parámetros variables

Keywords: adaptable control, robust control, system identification.

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Abstract:

many dynamic systems have first order mathematic models, with time variable parameters. in these cases, the classical tools do not satisfy at all control system stability, good performance and perturbation rejection, when the plant model differs from the nominal one, for which the controller was designed. in this article, three control strategies are evaluated in parameter variations and disturbance presence. the strategies are the followings: classical control, adaptive control and robust control. a comparative study is carried out, taking into account the design complexity, the computational cost and the sensitivity. the obtained conclusions helps to provide the criterion to choose the most adequate control strategy, according to the necessary dynamic, as well as the available technical means.

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