Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system

Sulaiman, Siti Fatimah and Ngateni, Nurul Aini and Osman, Khairuddin and Samsudin, Sharatul Izah and Sulaiman, Noor Asyikin and Sunar, Noorhazirah (2024) Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system. Przeglad Elektrotechniczny, 100. pp. 177-181. ISSN 0033-2097

Text Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system.pdf Download (643kB)

Abstract

An Electro-Hydraulic Actuator (EHA) is a hydraulic system that is commonly used in applications that require high power concentrations, efficient energy dissipation, or exceptionally high forces. The crucial part of this system is to control the position of its cylinder stroke at the desired position. Failure to properly control the position will cause the cylinder stroke position to be inaccurate. This study is proposed for this reason. The scope of this study consists of modeling and controlling the EHA positioning system. In this study, the system identification technique is used to model the EHA system, while predictive controller specifically Predictive Functional Controller (PFC) is proposed as a new strategy to control the position of the EHA system. Both modeling and controlling processes in this study fully utilise MATLAB software. To evaluate the effectiveness of the proposed PFC, the positioning performance of the PFC was compared with the basic controller (Proportional-Integral-Derivative (PID)) in terms of transient response performance. Comparison between the proposed PFC and the classical PID controller based on MATLAB Simulink showed that PFC can be used to control the EHA positioning system, however, the speed response of the system can be improved through certain modifications in the PFC algorithm.

Item Type:	Article
Uncontrolled Keywords:	Hydraulic, System identification, Predictive controller, PID controller
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	25 Jul 2024 11:27
Last Modified:	25 Jul 2024 11:27
URI:	http://eprints.utem.edu.my/id/eprint/27481
Statistic Details:	View Download Statistic

Actions (login required)

View Item