Pamela Tannous

  • curriculum vitae
  • tannous2@illinois.edu
  • Ph.D. Candidate in Mechanical Engineering – University of Illinois
  • M.S. Mechanical Engineering – University of Illinois (August 2017)
  • B.S. Mechanical Engineering – Lebanese American University (February 2015)
  • Research Interests: Estimation, Fault diagnosis, Thermal Management, Electro-Thermal Systems

 

Current Work

Complex power systems can be regarded as systems of systems interacting with each other over multiple time scales and energy domains. For example, aircraft and automotive electric vehicles (EVs) have systems spanning electrical, thermal, and mechanical domains with dynamics operating at the sub-milliseconds time scale in the electric domain and the minutes time scale in the thermal domain.

Hierarchical control has been shown to manage the coupling between the highly transient dynamics and slow dynamics resulting from the nature of complex power systems. One of the main advantages of a hierarchical control approach, compared to a centralized control approach, is the ability to predict the performance of the system far enough into the future at the upper level of the hierarchy as well as to respond quickly to unknown disturbances at the lower-level of the hierarchy at a relatively small computational cost. To accomplish this, the majority of control design work in the literature assumes full state feedback; it is usually assumed that there is a sensor that measures every state in the system. However, in practice, it is often infeasible or prohibitively expensive to measure every state of the system. A more reasonable approach is to estimate unmeasured states using a model of the system and a set of sensor measurements.

My current research focuses on developing a multi-level hierarchical estimation framework that supplies accurate state estimates to hierarchical controllers of complex power systems.

M.S. Thesis

  1. Pamela J. Tannous, “Dynamic temperature estimation of power electronics systems,” M.S. Thesis, Dept. Mech. Eng., Univ. Illinois Urbana-Champaign, Urbana, IL., July 2017.

Relevant Publications (Conference)

  1. Pamela J. Tannous, Satya R. T. Peddada, James T. Allison, Thomas Foulkes, Robert C. N. Pilawa-Podgurski, and Andrew G. Alleyne, “Dynamic Temperature Estimation of Power Electronics Systems,” Proceedings of the American Control Conference (ACC2017), 24-26 May, 2017, Seattle, WA, USA. DOI: 10.23919/ACC.2017.7963482.
  2. Satya R. T. Peddada,Pamela J. Tannous, Andrew G. Alleyne, and James T. Allison, “OPTIMAL SENSOR PLACEMENT METHODS FOR ACTIVE POWER ELECTRONIC SYSTEMS,” Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE 2017), August 6-9, 2017, Cleveland, Ohio, USA. doi:10.1115/DETC2017-68253.
  3. Pamela J. Tannous, and Andrew G. Alleyne, “Fault Detection and Isolation for Complex Thermal Management Systems,” Proceedings of ASME 2018 Dynamic Systems and Control Conference (DSCC 2018), September 30-October 3, 2018, Atlanta, Georgia, USA. doi:10.1115/DSCC2018-9132.
  4. Pamela J. Tannous, Donald J. Docimo, Herschel C. Pangborn, and Andrew G. Alleyne, “Hierarchical Estimation for Complex Multi-Domain Dynamical Systems,” Proceedings of the American Control Conference (ACC2019), July 10-12, 2019, Philadelphia, USA.

Relevant Publications (Journal)

  1. Pamela J. Tannous, Satya R. T. Peddada, James T. Allison, Thomas Foulkes, Robert C.N. Pilawa-Podgurski, and Andrew G. Alleyne, “Model-based temperature estimation of power electronics systems,” Control Engineering practice, 85, April 2019, 206-215. https://doi.org/10.1016/j.conengprac.2019.01.006.
  2. Satya R.T. Peddada, Pamela J. Tannous, Andrew G. Alleyne, and James T. Allison, “Optimal Sensor Placement Methods in Active High Power Density Electronic Systems with Experimental Validation,” Journal of Mechanical Design 2019.
  3. Pamela J. Tannous, and Andrew G. Alleyne, “Fault Detection and Isolation for Complex Thermal Management Systems,” Journal of Dynamic Systems, Measurement, and Control, 141(6), 061008 (Feb 21, 2019), doi: 10.1115/1.4042675.