JOURNAL ARTICLE

Control lineal robusto de sistemas no lineales diferencialmente planos

H. Sira‐RamírezAlberto Luviano‐JuárezJohn Cortés‐Romero

Year: 2011 Journal:   Revista Iberoamericana de Automática e Informática Industrial RIAI Vol: 8 (1)Pages: 14-28   Publisher: Technical University of Valencia

Abstract

[EN] In this arcicle, a linear observer-linear controller approach is proposed for the robust trajectory tracking task in a large class of nonlinear differentially flat systems, including multi-variable nonlinear flat systems. A non-phenomenological model of the input-to-flat-output dynamics is proposed which only retains the orders of the Kronecker integration subsystems and, the control input gain matrix, as key controller design elements. The additive influence of the rest of the nonlinear state dependent dynamics, including exogenous unknown perturbation inputs, is considered as unknown but uniformly absolutely bounded disturbance that is shown to be algebraically observable and it can, hence, be approximately determined, to any desired degree of accuracy, by means of a set of linear observers with suitable, self-updating, time-polynomial internal models of the unknown disturbances. The controller design task is reduced to that of canceling the additive disturbances while imposing a desired linear dynamics, via estimated state feedback, obtained from the proposed observer itself. A convincing simulation example dealing with rather complex nonlinear physical system is provided. Two experimental implementations on laboratory prototype systems are also reported.

Keywords:
Control theory (sociology) Nonlinear system Bounded function Linear system Kronecker product Controller (irrigation) Computer science Kronecker delta Mathematics Observer (physics) Polynomial Artificial intelligence Control (management)

Metrics

33
Cited By
3.86
FWCI (Field Weighted Citation Impact)
43
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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