<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Pneumatic actuator system is inexpensive, high power to weight ratio, cleanliness and ease of maintenance make it’s a choice compared to hydraulic actuator and electromagnetic actuator. Nonetheless, the steady state error of the system is high due to the dead zone of the valve. In this paper, an Auto-Regressive with External Input (ARX) model structure is chosen to represent the pneumatic actuator system. The recursive least square method is used to estimate the model parameters. The poleassignment controller is then developed for position tracking. To cater the problem of high in steady state error, the dead zone compensation is added to the system. The dead zone controller was designed based on the inverse dead zone model and the dead zone compensation designed based on the desired error. The proposed method is then experimentally with varies load and compares with Nonlinear PID controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.</p></abstract>

Pneumatic actuator system is inexpensive, high power to weight ratio, cleanliness and ease of maintenance make it’s a choice compared to hydraulic actuator and electromagnetic actuator. Nonetheless, the steady state error of the system is high due to the dead zone of the valve. In this paper, an Auto-Regressive with External Input (ARX) model structure is chosen to represent the pneumatic actuator system. The recursive least square method is used to estimate the model parameters. The poleassignment controller is then developed for position tracking. To cater the problem of high in steady state error, the dead zone compensation is added to the system. The dead zone controller was designed based on the inverse dead zone model and the dead zone compensation designed based on the desired error. The proposed method is then experimentally with varies load and compares with Nonlinear PID controller. The result shows that the proposed controller reduced the overshoot and steady state error of the pneumatic actuator system to no overshoot and 0.025mm respectively.

Model Identification And Controller Design For An Electropneumatic Actuator System With Dead Zone Compensation

Department of Control and Mechatronics Engineering

Universiti Teknologi Malaysia, Jalan Semarak

Department of Control, Instrumentation and Automation

International Journal on Smart Sensing and Intelligent Systems

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

Pneumatic actuator system is inexpensive, high power to weight ratio, cleanliness and ease of maintenance make it’s a choice compared to hydraulic actuator and...

Model Identification And Controller Design For An Electropneumatic Actuator System With Dead Zone Compensation

Publié en ligne: 27 déc. 2017

Pages: 798 - 819

Reçu: 05 mars 2014

Accepté: 01 juin 2014

DOI: https://doi.org/10.21307/ijssis-2017-682

Mots clés
System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator

© 2014 N. H. Sunar et al., published by Sciendo

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

Model Identification And Controller Design For An Electropneumatic Actuator System With Dead Zone Compensation

Publié en ligne: 27 déc. 2017

Pages: 798 - 819

Reçu: 05 mars 2014

Accepté: 01 juin 2014

DOI: https://doi.org/10.21307/ijssis-2017-682

Mots clésSystem identification, recursive least square, ARX, dead zone compensator, pneumatic actuator

© 2014 N. H. Sunar et al., published by Sciendo

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

Mots clés
System identification, recursive least square, ARX, dead zone compensator, pneumatic actuator