DocumentCode :
133171
Title :
Parallel feedforward design using LMI for unknown disturbance estimation of non-minimum phase system
Author :
Tanemura, Masaya ; Chida, Yuji ; Kobayashi, Hideo ; Hirata, Masayuki
Author_Institution :
Grad. Sch. of Sci. & Technol., Shinshu Univ., Shinshu, Japan
fYear :
2014
fDate :
9-12 Sept. 2014
Firstpage :
1998
Lastpage :
2003
Abstract :
An unknown disturbance estimation method for non-minimum phase systems using a parallel feedforward model has been proposed. The parallel feedforward model is adopted in order to improve the estimation performance and it must ensure minimum phase property of the augmented system consisting of the plant and the parallel feedforward model. In addition, the frequency response of the parallel feedforward model must match to that of the plant. This paper derives design conditions of the parallel feedforward model as LMI conditions and designs the parallel feedforward model by solving a convex optimization problem.
Keywords :
convex programming; feedforward; frequency response; linear matrix inequalities; observers; LMI conditions; augmented system; convex optimization problem; disturbance observer; estimation performance; frequency response; minimum phase property; nonminimum phase systems; parallel feedforward design; unknown disturbance estimation; Educational institutions; Feedforward neural networks; Frequency estimation; Frequency response; Observers; Polynomials; KYP lemma; LMI; Parallel feedforward model; Unknown disturbance observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference (SICE), 2014 Proceedings of the
Conference_Location :
Sapporo
Type :
conf
DOI :
10.1109/SICE.2014.6935313
Filename :
6935313
Link To Document :
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