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Author Makino, S. ♦ Masuda, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Cost function ♦ PD control ♦ Tuning ♦ Polynomials ♦ Mathematical model ♦ Closed loop systems ♦ Stochastic processes
Abstract The present work proposes a self tuning PID regulatory control method based on generalized minimum variance evaluation. The proposed one is categorized by implicit self-tuning control which directly tunes the PID gains without identifying the plant model. Most of implicit self-tuning control approach updates control parameters by evaluating the tracking error. To the contrary, the proposed one employs the cost function which evaluates the variance of the generalized output which consists of sum of weighted input and output measurements. In addition, the proposed one realizes self-tuning PID gains in regulatory control by routine operation data generated by stochastic disturbance while keeping the reference signal a constant value. In the proposed method, the PID gains are updated at every sampling time so that the cost function consisting of on-line input and output measurements is minimized. The paper introduces the recursive least square (RLS) method with a forgetting factor to the cost function evaluating the variance of generalized outputs. The normalized signal for the self-tuning algorithm is employed in order to improve the stability of the self-tuning control systems. The efficiency of the proposed method is demonstrated through a numerical simulation.
Description Author affiliation: Dept. of Manage. Syst. Eng., Tokyo Metropolitan Univ., Hino, Japan (Makino, S.; Masuda, S.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-09-21
Publisher Place Australia
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479977871
Size (in Bytes) 178.02 kB
Page Count 6
Starting Page 1248
Ending Page 1253


Source: IEEE Xplore Digital Library