Algebraic Parameter Identification and Asymptotic Estimation of the Load of a Boost Converter

A comparison between an algebraic parameter identification algorithm for the load of a boost converter and classical asymptotic observers for the same purpose is provided. Two asymptotic observers are presented, and an algebraic identification algorithm is derived. For the latter, two implementations in the software for a digital signal processor are discussed, and experimental results are given which highlight the properties of both approaches.

[1]  G. Silva-Navarro,et al.  On-Line Algebraic Identification of Eccentricity in Active Vibration Control of Rotor-Bearing Systems , 2007, 2007 4th International Conference on Electrical and Electronics Engineering.

[2]  Pierre Rouchon,et al.  A tracking controller-observer scheme for dc-to-dc converters , 1997, 1997 European Control Conference (ECC).

[3]  M. Fliess,et al.  A revised look at numerical differentiation with an application to nonlinear feedback control , 2007, 2007 Mediterranean Conference on Control & Automation.

[4]  Cédric Join,et al.  Non-linear estimation is easy , 2007, Int. J. Model. Identif. Control..

[5]  Jean-Pierre Barbot,et al.  An algebraic framework for the design of nonlinear observers with unknown inputs , 2007, 2007 46th IEEE Conference on Decision and Control.

[6]  H. Sira-Ramírez,et al.  A fast on-line algebraic estimation of a single-link flexible arm applied to GPI control , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[7]  K. M. Tsang,et al.  Adaptive control of power factor correction converter using nonlinear system identification , 2005 .

[8]  H. Sira-Ramirez,et al.  On discrete-time uncertain visual based control of planar manipulators: an online algebraic identification approach , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[9]  M. Fliess,et al.  An algebraic framework for linear identification , 2003 .

[10]  M. Fliess,et al.  On non-asymptotic observation of nonlinear systems , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[11]  Kurt Schlacher,et al.  An introduction to algebraic discrete-time linear parametric identification with a concrete application , 2008 .

[12]  H. Guldner,et al.  An algebraic parameter identification algorithm and asymptotic observers for estimation of the load of a boost converter , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[13]  John Chiasson,et al.  DIFFERENTIAL-GEOMETRIC METHODS FOR CONTROL OF ELECTRIC MOTORS , 1998 .

[14]  H. Sira-Ramirez,et al.  An algebraic parameter estimation approach to the adaptive observer-controller based regulation of the boost converter , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[15]  F. Giri,et al.  Adaptive sliding mode control of PWM boost DC-DC converters , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[16]  Joachim Rudolph,et al.  On Differential Flatness, Trajectory Planning, Observers, and Stabilization for DC–DC Converters , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[17]  E. Fossas,et al.  An algebraic, on-line, parameter identification approach to uncertain DC-to-AC power conversion , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..