Title :
Modeling of uncertainty and applications in monitoring and control of power electronics
Author :
Monti, A. ; Ponci, F. ; Lovett, T. ; Smith, A. ; Dougal, R.
Author_Institution :
Dept. of Electr. Eng., South Carolina Univ., Columbia, SC, USA
Abstract :
This paper describes the application of polynomial chaos theory to the modeling, simulation, and control of power electronics systems. The result of this work is a circuit simulation method that is able to quantitatively account for the uncertainty of component parameters, and thereby reveal the effects of those uncertainties, during the design process. This paper introduces the mathematical background and then three, different applications: automatic system modeling under uncertainty, uncertainty-based control, uncertainty-based monitoring and diagnostics.
Keywords :
chaos; circuit simulation; control system synthesis; monitoring; power electronics; uncertainty handling; automatic system modeling; circuit simulation method; polynomial chaos theory; power electronics systems; uncertainty-based control; uncertainty-based monitoring; Chaos; Differential equations; Monitoring; Multidimensional systems; Polynomials; Power electronics; Probability density function; Random variables; Stochastic processes; Uncertainty;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1470265