title: A methodology for identification and control of electro-mechanical actuators.
abstract: Mechatronic systems are fully-integrated engineering systems that are composed of mechanical, electronic, and computer control sub-systems. These integrated systems use electro-mechanical actuators to cause the required motion. Therefore, the design of appropriate controllers for these actuators are an essential step in mechatronic system design. In this paper, a three-stage methodology for real-time identification and control of electro-mechanical actuator plants is presented, tested, and validated. First, identification models are constructed from experimental data to approximate the plants' response. Second, the identified model is used in a simulation environment for the purpose of designing a suitable controller. Finally, the designed controller is applied and tested on the real plant through Hardware-in-the-Loop (HIL) environment. The described three-stage methodology provides the following practical contributions: •Establishes an easy-to-follow methodology for controller design of electro-mechanical actuators.•Combines off-line and on-line controller design for practical performance.•Modifies the HIL concept by using physical plants with computer control (rather than virtual plants with physical controllers). Simulated and experimental results for two case studies, induction motor and vehicle drive system, are presented in order to validate the proposed methodology. These results showed that electromechanical actuators can be identified and controlled using an easy-to-duplicate and flexible procedure.
authors.affiliation: Department of Mechatronics Engineering, Philadelphia University, Jordan.
authors.forename: Tarek A
authors.initials: TA
authors.lastname: Tutunji
authors.affiliation: Department of Electrical and Computer Engineering, Sultan Qaboos University, Oman.
authors.forename: Ashraf
authors.initials: A
authors.lastname: Saleem
keywords: Electro-mechanical actuators; Hardware-in-the-Loop; Mechatronics; System identification