Advanced Control I Laboratory
The main objective of this laboratory is to allow the implementation of advanced strategies for robust adaptive control, predictive control, state estimation and fault detection in non-linear and non-Gaussian systems.
Among the methods studied, the use of neural networks, fuzzy logic, passivity, flatness, backstepping, fractional control and Bayesian estimation algorithms stands out. The laboratory is mainly oriented towards research purposes, although it is also used in postgraduate teaching.
The laboratory equipment includes instruments, sensors, a modified temperature chamber, Lithium-Ion battery chargers and programmable DC (Direct Current) loads, all of the above used in the design and execution of controlled charge/discharge tests for power cells. Ion-Lithium at controlled temperatures around 0°C and 40°C. There is also a “Segway” type self-balancing vehicle and a motor-generator platform, to test advanced control strategies.
- FONDECYT Project 1110070: “Risk-Sensitive Particle Filtering Framework for Failure Prognosis and uncertainty Representation in Nonlinear Systems with High-Impact/Low-Likelihood Events”. IP: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2011-2013).
- Innova-Chile CORFO Project 11IDL1-10409: “Model-Based Probabilistic Approach for Online Estimation of the State-of-Health/State-of-Charge and Characterization of the Use Profile of Lithium-Ion Batteries” PI: Marcos Orchard ( U.Ch.). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2012).
- “Module for real-time estimation and prediction of the state of health (SOH) and state of charge (SOC) of Lithium-Ion batteries”. IP: Marcos Orchard (U.Ch.). Lithium Innovation Center (Energy Center). Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, 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”. IP: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2007-2009).
- FONDECYT Project 1120453: “Improvements of adaptive systems performance by using fractional order observers and particle swarm optimization”. IP: Manuel Duarte (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2012-2014).
- FONDECYT Project 1090208: “Design of Fractional Order Adaptive Controller with Applications”. IP: Manuel Duarte (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2009-2011).
Dr. Marcos Orchard
Associate Professor, Electrical Engineering Department
+56 2 2978 4215
morchard@ing.uchile.cl