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 identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is...

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Bibliographic Details
Published in:International journal on smart sensing and intelligent systems 2011-01, Vol.4 (2), p.189-204
Main Authors: Ghazali, R., Sam, Y. M., Rahmat, M. F., Jusoff, K., Zulfatman, Hashim, A. W. I. M.
Format: Article
Language:English
Subjects:
Actuators
Algorithms
Control algorithms
Control systems
Control theory
electro hydraulic actuator system
Hydraulic equipment
Identification methods
Mathematical models
Parameter estimation
Parameter identification
Pole placement
recursive least square
Self tuning
self tuning control
System identification
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Summary: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.
ISSN:1178-5608
1178-5608
DOI:10.21307/ijssis-2017-435