A prediction-based optimal gain selection in RISE feedback control for hard disk drive - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2014

A prediction-based optimal gain selection in RISE feedback control for hard disk drive

Abstract

This paper presents a prediction-based optimal gain selection in Robust Integral Sign of the Error (RISE) based Neural Network (NN) approach. Previous research has shown that combining a feedforward term with a feedback control element yields an asymptotically stable closed-loop system. The proposed approach adds a prediction-based optimal technique which minimizes a quadratic performance index to calculate an optimal feedback gain. The resulting novel controller, called PRISE -NN, is applied for a track following problem of a Hard-Disc-Drive servo-system. Simulation studies are used to show the efficiency of the proposed control scheme and its robustness against external disturbances and parametric uncertainties in the system. The authors believe that the proposed control solution combining RISE with a predictive control approach has never been conducted before.

Domains

Automatic
Fichier principal
Vignette du fichier
mscIEEE.pdf (634.96 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-01723921 , version 1 (05-03-2018)

Identifiers

Cite

Manel Taktak-Meziou, Ahmed Chemori, Jawhar Ghommam, Nabil Derbel. A prediction-based optimal gain selection in RISE feedback control for hard disk drive. CCA: Conference on Control Applications, Oct 2014, Juan Les Antibes, France. pp.2114-2119, ⟨10.1109/CCA.2014.6981615⟩. ⟨lirmm-01723921⟩
177 View
200 Download

Altmetric

Share

More