IIUM Repository

Adaptive hybrid impedance control for a 3DOF upper limb rehabilitation robot using hybrid automata

Sado, Fatai and Sidek, Shahrul Na'im and Md. Yusof, Hazlina (2014) Adaptive hybrid impedance control for a 3DOF upper limb rehabilitation robot using hybrid automata. In: 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES 2014), 8-10 December 2014, Miri, Sarawak.

[img] PDF - Published Version
Restricted to Repository staff only

Download (425kB) | Request a copy
Download (448kB) | Preview


There is a growing need for effective and adaptive robot-assisted rehabilitation platforms for post-stroke patients which can facilitate considerably their sensorimotor control performance, and also ensure safety for the patients. A 3-DOF adaptive robot-assisted rehabilitation platform is proposed in this work which uses at its core a hybrid impedance control framework to track simultaneously both desired force and position trajectory, while regulating the apparent impedance of the robot as seen by the patient to ensure robot-patient compliant motion. To make the system adaptive to the patient recovery process, the impedance characteristic of the patient’s impaired limb is modeled as a parameter of recovery, and is estimated online using a recursive polynomial model estimator. A hybrid automata is then implemented to specify different apparent robot impedances to track the recovery process. Preliminary simulation results showed good response of the proposed framework to the changing patient’s arm impedance profile as well as good trajectory tracking of force and position in task space.

Item Type: Conference or Workshop Item (Other)
Additional Information: 3028/39794 (ISBN: 978-1-4799-4084-4, DOI: 10.1109/IECBES.2014.7047573)
Uncontrolled Keywords: Adaptive hybrid impedance control
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Shahrul Naim Sidek
Date Deposited: 31 Dec 2014 12:40
Last Modified: 10 Jan 2019 13:03
URI: http://irep.iium.edu.my/id/eprint/39794

Actions (login required)

View Item View Item


Downloads per month over past year