About this article
Published Online: Jun 01, 2011
Page range: 189 - 204
Received: Mar 28, 2011
Accepted: May 21, 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.
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.