Self-tuning control of an electro-hydraulic actuator system

• Main Authors: Ghazali, Rozaimi, Md. Sam, Yahaya, Rahmat, Mohd. Fuaad, Jusoff, Kamaruzaman, Zulfatman, Zulfatman, Mohd. Hashim, Abdul Wahab Ishari
• Format: Article
• Language: English
• Published: Exeley Inc. 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/29002/1/RozaimiGhazali2011_SelfTuningControlofanElectroHydraulicActuatorSystem.pdf; http://eprints.utm.my/id/eprint/29002/; https://www.exeley.com/in_jour_smart_sensing_and_intelligent_systems/doi/10.21307/ijssis-2017-435

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.