<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a selftuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting technique is proposed to estimate parameters of the discrete-time model. The results show the proposed control algorithm can adapt the changes occur in model parameters compared with the fixed controller.</p>
<p>In conclusion, a self-tuning control is required in improving the EHS system performance in industrial positioning applications.</p></abstract>

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a selftuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting technique is proposed to estimate parameters of the discrete-time model. The results show the proposed control algorithm can adapt the changes occur in model parameters compared with the fixed controller.
In conclusion, a self-tuning control is required in improving the EHS system performance in industrial positioning applications.

Self-Tuning Control of an Electro-Hydraulic Actuator System

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Self-Tuning Control of an Electro-Hydraulic Actuator System"}

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a selftuning control algorithm using pole placement and recursive...

Self-Tuning Control of an Electro-Hydraulic Actuator System

Pubblicato online: 01 giu 2011

Pagine: 189 - 204

Ricevuto: 28 mar 2011

Accettato: 21 mag 2011

DOI: https://doi.org/10.21307/ijssis-2017-435

© 2011 R. Ghazali et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.