Departamento de Ingeniería Eléctrica

Laboratorio de Control Avanzado I

 Laboratorio Control Avanzado I

Descripción

El objetivo principal de este laboratorio es permitir la implementación de estrategias avanzadas de control adaptable robusto tanto entero como fraccionario, control predictivo, estimación de estados, diagnóstico y pronóstico de fallas en sistemas nolineales y no-Gaussianos.

Dentro de los métodos estudiados se destaca el uso de redes neuronales, lógica difusa, pasividad, planitud, backstepping, control fraccionario y algoritmos Bayesianos de estimación de estados, caracterización probabilística de perfiles de uso y pronóstico de eventos. El laboratorio está principalmente orientado hacia fines de investigación, aunque también es utilizado en docencia de postgrado.

Equipamiento e instrumentos

El equipamiento del laboratorio incluye instrumentos, sensores, una cámara de temperatura modificada, cargadores de baterías de Ion-Litio y cargas DC (Direct Current) programables, todo lo anterior utilizado en el diseño y ejecución de pruebas controladas de carga/descarga de celdas de Ion-Litio a temperaturas controladas en torno a 0°C y 40°C. También se cuenta con un vehículo auto-balanceado tipo "segway" y plataforma motor-generador, para ensayar estrategias de control avanzado.

Miembros permanentes

  • Aramis Pérez
  • Vanesa Quintero
  • David Acuña
  • César Díaz
  • Jorge Carrera
  • Juan Rodríguez
  • Freddy Milla
  • Norelys Águila
  • Cristian Jáuregui
    Teléfono: +562 29784215

Académicos responsables

  • Dr. Manuel Duarte
    Profesor Titular, Departamento de Ingeniería Eléctrica
    Teléfono: +562 29784207
    Correo electrónico: mduartem@ing.uchile.cl
  • Dr. Marcos Orchard
    Profesor Asociado
    Departamento de Ingeniería Eléctrica
    Teléfono: +562 29784215
    Correo electrónico: morchard@ing.uchile.cl

Proyectos asociados

  • FONDECYT Project 1140774: “Novel estimation and prognostic techniques for the analysis of state-of-charge and state-of-health degradation in energy storage devices”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2014-2016).
  • Conicyt REDES-130029: Generation of International Networking between International Research Centers, PI: Marcos Orchard (U.Ch.). Faculty of Mathematical and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2013-2014).
  • 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).
  • FONDECYT Project 1150488: "Fractional Error Models in Adaptive Control and Applications". PI: Manuel Duarte (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2015-2018).
  • FONDECYT Project 1120453: "Improvements of adaptive systems performance by using fractional order observers and particle swarm optimization". PI: Manuel Duarte (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2012-2014).
  • FONDECYT Project 1090208: "Design of Fractional Order Adaptive Controller with Applications". PI: Manuel Duarte (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2009-2011).

 

Publicaciones (2011-2014)

  • Orchard, M., Lacalle, M., Olivares, B., Silva, J., Palma, R., Estévez, P.,Severino, B., Calderon-Muñoz, W., and Cortés., "Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells," IEEE Transactions on Reliability (in press).
  • Pola, D.; Navarrete, H.; Orchard, M.; Rabié, R.; Cerda, M.; Olivares, B.; Silva, J.; Espinoza, P.; and Pérez, A., "Particle-filtering-based Discharge Time Prognosis for Lithium-Ion Batteries with a Statistical Characterization of Use Profiles," IEEE Transactions on Reliability (in press).
  • Burgos, C.; Sáez, D.; Orchard, M.; and Cárdenas, R., "Fuzzy Modelling for the State-of-Charge Estimation of Lead-Acid Batteries," Journal of Power Sources, vol. 274, pp. 355-366, 2015.
  • Moya, J., Ruiz-del-Solar, J., Orchard, M., Parra-Tsunekawa, I., "Fall Detection and Damage Reduction in Biped Humanoid Robots," International Journal of Humanoid Robotics, vol. 12, Issue 1, Enero 2015.
  • Severino, B.; Gana, F.; Palma-Behnke, R.; Estévez, P.; Calderón, W.; Orchard, M.; Cortés, M.; Reyes, J., "Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms," Journal of Power Sources, vol. 26, Issue 1, pp. 288-299, December 2014.
  • Zhang, B., Orchard, M., Saha, B., Saxena, A., Jin, Y., and Vachtsevanos, G., "A Verification Framework with Application to a Propulsion System," Expert Systems with Applications, vol. 41, Issue 13, pp. 5669-5679, October 2014.
  • Mundnich, K., Orchard, M., Silva, J., Parada, P., "Volatility Estimation of Financial Returns using Risk-Sensitive Particle Filters," Studies in Informatics and Control, Vol. 22, No. 3, pp. 297-306, September 2013.
  • Orchard, M., and Hevia-Koch, P., "Risk Measures for Particle-filtering-based State-of-Charge Prognosis in Lithium-Ion Batteries," IEEE Transactions on Industrial Electronics, vol. 60, No. 11, pp.5260-5269, November 2013.
  • Olivares, B., Cerda, M., Orchard, M., and Silva, J., “Particle-filtering-based Prognosis Framework for Energy Storage Devices with a Statistical Characterization of State-of-Health Regeneration Phenomena,” IEEE Transactions on Instrumentation & Measurement, vol. 62, Issue 2, pp. 364‑376, February 2013.
  • Orchard, M., Cerda, M., Olivares, B., and Silva, J., "Sequential Monte Carlo Methods for Discharge Time Prognosis in Lithium-Ion Batteries," International Journal of Prognostics and Health Management, Vol. 3, Issue 2 (010), pp. 1-12, 2012.
  • Chen, C., Brown, D., Sconyers, C., Zhang, B., Vachtsevanos, G., and Orchard, M., “An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems,” Expert Systems with Applications, vol. 39, Issue 10, pp. 9031‑9040, August 2012.
  • Chen, C., Vachtsevanos, G., Orchard, M., "Machine Remaining Useful Life Prediction: an Integrated Adaptive Neuro-Fuzzy and High-Order Particle Filtering Approach," Mechanical Systems and Signal Processing, vol. 28, pp. 597-607, April 2012.
  • Tobar, F. and Orchard, M., "Study of Financial Systems Volatility Using Suboptimal Estimation Algorithms," Studies in Informatics and Control, vol. 21, Issue 1, pp. 59‑66, March 2012.
  • Chen, C., Vachtsevanos, G., Orchard, M., "Machine Condition Prediction Based on Adaptive Neuro-Fuzzy and High-Order Particle Filtering," IEEE Transactions on Industrial Electronics, vol. 58, no. 9, pp. 4353-4364, September 2011.
  • Mascaró, M., Cabello, F., Parra, S.I., Vallejos, P., Guerrero, P., Ehrenfeld, A., Acuña, A., Ruiz del Solar, J., and Orchard, M., "Instrumentación, Actuación e Implementación de Control Difuso de Bajo Nivel en Vehículo Terrestre Autónomo de Escala Real," Anales del Instituto de Ingenieros de Chile, Vol. 123, no. 2, pp.53-61, Aug. 2011.
  • Zhang, B., Sconyers, C., Byington, C., Patrick, R., Orchard, M., and Vachtsevanos, G., "A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection," IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 2011-2018, May 2011.
  • Orchard, M., Tang, L., Saha, B., Goebel, K., and Vachtsevanos, G., "Risk-Sensitive Particle-Filtering-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices," Studies in Informatics and Control, vol. 19, Issue 3, pp. 209-218, September 2010.
  • Zhang, B., Khawaja, T., Patrick, R., Vachtsevanos, G., Orchard, M., and Saxena, A., "A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis," Transactions of the Institute of Measurement and Control, vol. 32, Issue 1, pp. 3-30, February 2010.
  • Acuña, D.; Orchard, M.; Silva, J.; and Pérez, A., "Multiple-imputation-particle-filtering scheme for Uncertainty Characterization in Battery State-of-Charge Estimation Problems with Missing Measurement Data," Annual Conference of the PHM Society 2014, September 29th - October 2nd, 2014, Fort Worth, TX, USA.
  • Tobar, F.; Orchard, M.; Mandic, D.; Constantinides, A., "Estimation of financial indices volatility using a model with time-varying parameters," Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on, March 27th-28th 2014, London, U.K.
  • Carricajo, T., Kripper, F., Orchard, M., Yacher, L., Paredes, R., “Anomaly Detection in Gas Turbine Compressor of a Power Generation Plant using Similarity-based Modeling and Multivariate Analysis,” Annual Conference of the PHM Society 2013, October 14-17, 2013, New Orleans, LA, USA.
  • Orchard, M., Lacalle, M., Olivares, B., Cerda, M., and Silva, J., “Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Energy Storage Devices,” 2013 Prognostics and System Health Management Conference, 8-11 September 2013, Milano, Italy.
  • Orchard, M., Olivares, B., Cerda, M. and Silva, J., “Anomaly Detection Based on Information-Theoretic Measures and Particle Filtering Algorithms,” Annual Conference of the Prognostics and Health Management Society 2012, September 23th 27th 2012, Minneapolis, MN, USA.
  • Moreno, G., Sáez, D., and Orchard, M., "A New Method for Identification of Fuzzy Models based on Evolutionary Algorithms and its Application to the Modeling of a Wind Turbine," 9th International Conference on Control and Automation - ICCA 2011, December 19th-21th 2011, Santiago, Chile. 
  • Cabello, F., Acuña, A., Vallejos, P., Orchard, M., and Ruiz del Solar, J., "Design and Validation of a Fuzzy Longitudinal Controller Based on a Vehicle Dynamic Simulator," 9th International Conference on Control and Automation - ICCA 2011, December 19th-21th 2011, Santiago, Chile.
  • Orchard, M., Silva, J., and Tang, L., “A Probabilistic Approach for Online Model-based Estimation of SOH/SOC and use profile characterization for Li-Ion Batteries,” Battery Management Workshop, Annual Conference of the Prognostics and Health Management Society 2011, September 25th-29th 2011, Montreal, QB, Canada.
  • Orchard, M., Tang, L. and Vachtsevanos, G., “A Combined Anomaly Detection and Failure Prognosis Approach for Estimation of Remaining Useful Life in Energy Storage Devices,” Annual Conference of the Prognostics and Health Management Society 2011, September 25th-29th 2011, Montreal, QB, Canada.
  • Tobar, F., Yacher, L., Paredes, R. and Orchard, M., "Anomaly Detection in Power Generation Plants using Similarity-based Modeling and Multivariate Analysis," 2011 American Control Conference - ACC2011, June 29-July 1 2011, San Francisco, CA, USA.
  • Tang, L and Orchard, M., Goebel, K., and Vachtsevanos, G., "Novel Metrics and Methodologies for the Verification and Validation of Prognostic Algorithms," 2011 IEEE Aerospace Conference, March 5-12, 2011, Big Sky, Montana, USA.
  • M.A. Duarte-Mermoud, N. Aguila-Camacho, J.A. Gallegos, R. Castro-Linares, “Using General Quadratic Lyapunov Functions to Prove Lyapunov Uniform Stability for Fractional Order Systems”. Communications in Nonlinear Science and Numerical Simulation, Vol. 22, No. 1-3, May 2015, pp. 650-659. (Available online 22 October 2014).
  • M.A. Vizcay, M.A. Duarte-Mermoud, M.L Aylwin, “Odorant recognition using biological responses recorded in olfactory bulb of rats”. Journal of Computers in Biology and Medicine. DOI: 10.1016/j.compbiomed.2014.10.010 (Article Accepted: 11 OCT 2014. Published online: November 17, 2014).
  • M.E. Ortiz-Quisbert, M.A. Duarte-Mermoud, “Control Adaptable Fraccionario por Modelo de Referencia Optimizado por Enjambre de Partículas, Aplicado a Regulación de Voltaje en Sistemas Eléctricos de Potencia”. (In Spanish). Anales del Instituto de Ingenieros de Chile (Annals of the Chilean Institute of Engineers), Vol. 126, No. 3, December 2014, pp. xx-xx.
  • M.E. Ortiz-Quisbert, M.A. Duarte-Mermoud, R. Castro-Linares, “Control Adaptativo Fraccionario Optimizado por Algoritmos Genéticos, Aplicado a Reguladores Automáticos de Voltaje”. (In Spanish).  Proceedings of the 21th Congress of  the Chilean Association of Automatic Control (ACCA 2014),  ACCA, IFAC, IEEE-Chile, Santiago, Chile, November 5 - 7, 2014. Proceedings in CD, Paper No. 11, pp. 1-7.
  • R.H. Ordóñez-Hurtado, M.A. Duarte-Mermoud, “Particle Swarm Optimisers for the Designing of Parametric Adjustment Laws in Discrete-time Adaptive Systems”. International Journal of Control, Vol. 87, No. 12, 2014, pp. 2549-2572. (Article first published online: 16 SEP 2014).
  • N. Aguila-Camacho, M. A. Duarte-Mermoud, “Fractional Error Model 1 in Adaptive Systems”. Proceedings of the IEEE International Conference on Fractional Differentiation and its Application ICFDA’14, Catania, Italy, June 23-25, 2014. Proceedings in CD, Paper No. 25.
  • E. Delgado-Aguilera, M.A. Duarte-Mermoud, “Synchronization of Fractional-Order Systems of the Lorenz type: The Non- adaptive Case”. IEEE Latin America Transactions, Vol. 12, No. 3, May 2014, pp. 410-415. DOI:10.1109/TLA.2014.6827866.
  • N. Aguila-Camacho, M.A. Duarte-Mermoud, “Error Model 1 in Fractional Adaptive Control: Results and Main Challenges”. IEEE Latin America Transactions, Vol. 12, No. 3, May 2014, pp. 449-454. DOI:10.1109/TLA.2014.6827872.
  • F. Milla, M.A. Duarte-Mermoud, N. Aguila-Camacho, “Hierarchical MPC Secondary Control for Electric Power System”. Mathematical Problems in Engineering, Vol. 2014, Special Issue “Mathematical Modeling, Analysis, and Advanced Control of Complex Dynamical Systems”. Article ID 397567, April 2014, 14 pages. DOI:10.1155/2014/397567. (Open Access http://www.hindawi.com/journals/mpe/2014/397567)
  • N. Aguila-Camacho, M.A. Duarte-Mermoud, J.A. Gallegos, “Lyapunov Functions for Fractional Order Systems”. Communications in Nonlinear Science and Numerical Simulation, Vol. 19, No. 9, 2014, pp. 2951-2957. Article first published online: 03 FEB 2014. DOI:10.1016/j.cnsns.2014.01.022.
  • C. Devia, M.A. Duarte-Mermoud and M.L. Aylwin, "Knowledge-based expert control of thalamic neuron firing mode". Asian Journal of Control. Vol. 16, No. 1, 2014, pp. 117-125. Article first published online: 27 SEP 2012. DOI: 10.1002/asjc.599. Online ISSN: 1934-6093.
  • M.A. Duarte-Mermoud, N. Aguila-Camacho and J.A. Gallegos, “Sufficient condition on the fractional integral for the convergence of a function”. The Scientific World Journal, Vol. 2013, Special Issue “Theory, Methods, and Applications of Fractional Calculus”. Article ID 428428, December 2013, 4 pages. DOI:10.1155/2013/428428. (Open Access, http://www.hindawi.com/journals/tswj/2013/428428/).
  • M. A. Duarte-Mermoud, N.H.Beltrán and S.A. Salah, “Probabilistic Adaptive Crossover Applied to Chilean Wine Classification”. Mathematical Problems in Engineering, Vol. 2013, Article ID 734151, December 2013, 10 pages. DOI:10.1155/2013/734151. (Open Access, http://www.hindawi.com/journals/mpe/2013/734151/).
  • N. Aguila-Camacho and M. A. Duarte-Mermoud, “Fractional Adaptive Control for an Automatic Voltage Regulator”. ISA Transactions, Vol. 52, No. 6, 2013, pp. 807-815.Article first published online: 7-JUL-2013 DOI: 10.1016/j.isatra.2013.06.005. Print ISSN: 0019-0578.
  • E.E. Guerrero-Merino and M.A. Duarte-Mermoud, “Planificación Energética en Tiempo Real para Vehículos Solares”. (In Spanish). Anales del Instituto de Ingenieros de Chile, (Annals of the Chilean Institute of Engineers), Vol. 125, No. 3, December 2013, pp. 103-112.
  • M.A. Duarte-Mermoud and N. Aguila-Camacho, “Some useful results in Fractional Adaptive Control”. Proceedings of the Sixteenth Yale Workshop on Adaptive and Learning Systems, K.S. Narendra Ed., June 5 - 7, 2013, New Haven, CT, USA. pp. 51-56.
  • E. Delgado-Aguilera and M.A. Duarte-Mermoud, “Synchronization of fractional order systems of Lorenz type: Non adaptive case”. (In Spanish). Proceedings of the 20th Congress of the Chilean Association of Automatic Control (ACCA), IFAC, IEEE-Chile, Santiago, Chile, November 12 - 16, 2012. Proceedings in CD, Paper No. 11, pp. 42-47.
  • N. Aguila-Camacho and M. A. Duarte-Mermoud, “Error model I in fractional adaptive control: Results and challenges”. (In Spanish). Proceedings of the 20 Congress of the Chilean Association of Automatic Control (ACCA), IFAC, IEEE-Chile, Santiago, Chile, November 12 - 16, 2012. Proceedings in CD, Paper No. 10, pp. 36-41.
  • M.A. Duarte-Mermoud, R.H. Ordóñez-Hurtado and P. Zagalak, "A method for determining the non-existence of a common quadratic Lyapunov function for switched linear systems based on Particle Swarm Optimization". International Journal of Systems Science, Vol. 43, No.11, pp. 2015-2029, 2012. Article first published online: 17 MAY 2012. DOI:10.1080/00207721.2012.687787Print ISSN: 0020-7721, Online ISSN: 1464-5319.
  • M.A. Duarte-Mermoud and J.C. Travieso-Torres, "Advanced control techniques for induction motors", in Induction Motors: Modelling and Control. Ed Rui Esteves Araujo. Chapter 12, pp. 295-324. Editorial Intech, Rijeka, Croatia, 2012. ISBN 978-953-51-0843-6.
  • Costa, M. Vilaragut, J.C. Travieso-Torres, M.A. Duarte-Mermoud, J. Muñoz and I. Yznaga, "MATLAB based simulation toolbox for the study and design of induction motor FOC speed drives". Computer Applications in Engineering Education. Vol. 20, No. 2, 2012, pp. 295-312. Article first published online: 1 DEC 2009, DOI: 10.1002/cae.20396.
  • R.H. Ordóñez-Hurtado and M.A. Duarte-Mermoud, "Finding common quadratic Lyapunov functions for switched linear systems using particle swarm optimization" International Journal of Control. Vol. 85, No. 1, 2012, pp. 12-25. Article first published online: 07 DEC 2011, DOI:10.1080/00207179.2011.637133
  • M.A. Duarte-Mermoud, J.C. Travieso-Torres, I.S. Pelissier and H.A. González, "Induction motor control based on adaptive passivity". Asian Journal of Control. Vol. 14, No. 1, 2012, pp. 67-84. Article first published online: 18 AUG 2010, DOI: 10.1002/asjc.260.
  • E. Delgado-Aguilera and M.A. Duarte-Mermoud, “Adaptive synchronization of fractional order systems of the Lorenz type”. Proceedings of the Ninth IEEE International Conference on Control and Automation (ICCA 2011), December 19-21, 2011, Santiago, Chile. Proceedings in CD, Paper No. 133, WedB1.2.
  • R. Ordóñez-Hurtado and M.A. Duarte-Mermoud, “Design of adaptive laws for discrete-time systems based on particle swarm optimization”. Proceedings of the Ninth IEEE International Conference on Control and Automation (ICCA 2011), December 19-21, 2011, Santiago, Chile. Proceedings in CD, Paper No. 131, WedA1.4.
  • R.H. Ordóñez-Hurtado and M.A. Duarte-Mermoud, "A methodology for determining the non-existence of common quadratic Lyapunov functions for pairs of stable systems". Proceedings of the Fifth International Conference on Genetic and Evolutionary Computing, August 29-30, 2011, Kinmen, Taiwan; August 31-September 1, 2011, Xiamen, China. Vol. 1, pp. 128-130.
  • M.A. Duarte-Mermoud and N. Aguila-Camacho, “Fractional order adaptive control of simple systems”. Proceedings of the Fifteenth Yale Workshop on Adaptive and Learning Systems, K.S. Narendra Ed., June 6 - 8, 2011, New Haven, CT, USA. pp. 57-62.
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