NDLI: Nonlinearly parameterized adaptive PID control for parallel and series realizations

Content Provider	IEEE Xplore Digital Library
Author	El Rifai, K.
Copyright Year	2009
Description	Author affiliation: Mitsubishi Electric Research Labs, Cambridge, MA 02139, USA (El Rifai, K.)
Abstract	In this paper, a methodology for Lyapunov-based adaptive PID control for different nonlinearly-parameterized series and parallel PID realizations is presented using simple first and second order dominant plants. The corresponding designs are based on using only the tracking error, its derivative, its integral, and the current value of the adaptive gains in order to update the PID gains. The conventional independent parallel realization, which most existing adaptive designs have used, yields a linearly parameterized adaptive control problem. Whereas, other parallel as well as series realizations yield nonlinearly parameterized adaptive systems allowing for coupled adaptation of the PID gains and further design flexibility. These coupled architectures promise to yield better adaptation and learning as they reflect the inherently coupled nature of PID tuning. Case study simulations are provided to demonstrate the capabilities of the developed algorithms.
Starting Page	5150
Ending Page	5155
File Size	1128411
Page Count	6
File Format	PDF
ISBN	9781424445233
ISSN	07431619
DOI	10.1109/ACC.2009.5159902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Programmable control Adaptive control Three-term control Function approximation Control systems Couplings Robust control Neural networks Parameter estimation Usability PID control direct adaptive control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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