Thursday May 16, 2024  

 

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Automatic Systems Laboratory

Its main objective is to allow modeling, identification and control experiences of dynamic processes and systems, both locally and remotely, including sensors, actuators and communication systems for control and supervision.

The laboratory is implemented for teaching purposes attending undergraduate and postgraduate courses. It also allows carrying out research in advanced automatic control.

    • System of interconnected ponds (conical and parallelepipedic) that allows to implement experiences of identification of non-linear systems, fuzzy and neural control.

    • Motor-generator system based on direct current (DC) machines, which allows implementing classic linear control experiences.

    • The “twin-rotor” system enables the emulation of helicopter dynamics, facilitating the development of adaptive control experiences and anomaly detection.

    • PLC system (programmable logic controller).

    • Distributed control system “Delta-V”.
    • FONDECYT Project 1110070: “Risk-Sensitive Particle Filtering Framework for Failure Prognosis and uncertainty Representation in Nonlinear Systems with High-Impact/Low-Likelihood Events”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2011-2013).
    • Innova-Chile CORFO Project 11IDL1-10409: “Enfoque Probabilístico Basado en Modelos para la Estimación en Línea del Estado-de-Salud/Estado-de-Carga y Caracterización del Perfil de Uso de Baterías de Ion-Litio” PI: Marcos Orchard (U.Ch.). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2012).
    • “Módulo de estimación en tiempo real y predicción del estado de salud (SOH) y estado de carga (SOC) de baterías de Ion-Litio”. PI: Marcos Orchard (U.Ch.). Centro de Innovación del Litio (Centro de Energía). Departamento de Ingeniería Eléctrica, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile (03/2012 – 09/2012).
    • FONDECYT Project 11070022: “Sequential Monte Carlo Methods and Feedback Concepts Applied to Fault Diagnosis and Failure Prognosis in Nonlinear, Non-Gaussian Dynamic Systems”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2007-2009).

    Dr. Constanza Ahumada

    Electrical Engineering Department

    Universidad de Chile

    coahumada@ing.uchile.cl