Identificación y sintonización de controladores PID para procesos de integración

Date
2019
2019
Author
Henríquez Novoa, Jorge Alberto
Martínez Rodríguez, Wuemdell Javier
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Abstract
Control systems determine an important part in modern industrial processes, where they are used, to adjust variables. These stages are useful to prevent failures, capable of paralyzing the plant for long periods of time. To apply adequate control, the dynamic behavior of the process must be known. In the integrating systems this leads to a series of high-grade differential equations. The present task proposes a methodology that allows the characterization of an integral system in a practical way, then to implement an optimal control design. For the identification of the system, a method consisting of two stages, a derivative identification, and a method of characterization of self-regulated systems are proposed to obtain the necessary parameters and thus obtain the system transfer function, After the results, a control design was implemented, to apply it, different tuning methods were used, which were the methods of Ziegler Nichols, Coheen Coob and Lambda, and thus find the parameters of system gains. knowing the above, comparison tests were performed between the different methods used and it was obtained that the best method was to derive the signal and apply the smith's method characterization, after finding the dynamics of the process, the different tuning methods were applied, compared and it was obtained that the most efficient method was the tuning of Ziegler Nichols for a PD controller, since the signal stabilizes in less time and does not present almost damping, To validate the tests, comparisons is make it with a theoretical method and with a device that allows modeling a real DC motor.
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