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Título
A bio-knowledge based method to prevent control system instability
Autor(es)
Materia
Computer Science
Fecha de publicación
2010/12
Editor
IEEE
Citación
Nature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on. pp. 430 - 436.
Resumen
This study presents a novel bio-inspired method, based on gain scheduling, for the calculation of Proportional-Integral-Derivative (PID) controller parameters that will prevent system instability. The aim is to prevent a transition to control system instability due to undesirable controller parameters that may be introduced manually by an operator. Each significant operation point in the system is firstly identified. Then, a solid stability structure is calculated, using transfer functions, in order to program a bio-inspired model by using an artificial neural network. The novel method is empirically verified under working conditions in a liquid-level laboratory plant.
URI
ISBN
978-1-4244-7377-9
Colecciones
- BISITE. Congresos [232]
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