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Robust feedback linearization for nonlinear processes control

In this research, a robust feedback linearization technique is studied for nonlinear processes control. The main contributions are described as follows: 1) Theory says that if a linearized controlled process is stable, then nonlinear process states are asymptotically stable, it is not satisfied in a...

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Bibliographic Details
Published in:ISA transactions 2018-03, Vol.74, p.155-164
Main Author: Rubio, José de Jesús
Format: Article
Language:English
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Summary:In this research, a robust feedback linearization technique is studied for nonlinear processes control. The main contributions are described as follows: 1) Theory says that if a linearized controlled process is stable, then nonlinear process states are asymptotically stable, it is not satisfied in applications because some states converge to small values; therefore, a theorem based on Lyapunov theory is proposed to prove that if a linearized controlled process is stable, then nonlinear process states are uniformly stable. 2) Theory says that all the main and crossed states feedbacks should be considered for the nonlinear processes regulation, it makes more difficult to find the controller gains; consequently, only the main states feedbacks are utilized to obtain a satisfactory result in applications. This introduced strategy is applied in a fuel cell and a manipulator. [Display omitted] •Robust feedback linearization technique is studied for nonlinear processes control.•Lyapunov theory is used to assure uniform stability of a nonlinear process control.•This introduced strategy is applied in a fuel cell and a manipulator.
ISSN:0019-0578
1879-2022
DOI:10.1016/j.isatra.2018.01.017