Self-tuning control of an electro-hydraulic actuator system

• Main Authors: Ghazali, Rozaimi, Md Sam, Yahaya, Rahmat, Mohd Fua'ad, Jusoff, Kamaruzaman, Zulfatman,, Mohd Hashim, Abd Wahab Ishari
• Format: Article
• Language: English
• Published: Exeley 2011
• Online Access: http://psasir.upm.edu.my/id/eprint/23904/1/Self.pdf; http://psasir.upm.edu.my/id/eprint/23904/; http://s2is.org/Issues/v4/n2/

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning 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.