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Wireless manual control for human adaptive mechatronics

Wireless manual control for human adaptive mechatronics This paper describes the implementation of a generic wireless joystick control for human adaptive mechatronics applications. The proposed implementation uses state-of-the-art wireless sensor node technology and it is easily installed and modified for the needs of different applications. The inherent drawbacks arising from the use of wireless communications, namely packet losses in the controller-to-actuator link, are tackled by introducing a novel compensation method that contributes to the stability and performance of the manually controlled system. The compensation consists of a human controller identification procedure and PIDPLUS-type of algorithm for decreasing the control effort during packet losses. Furthermore, the issues related to signal noise reduction and filtering at the joystick end are addressed as we propose and embed an advanced filtering scheme in the wireless joystick. The joystick control is tested in two laboratory processes and the proposed compensation algorithm is implemented and tested in a trolley crane simulator. The results will serve as a basis for developing human adaptive mechatronics (HAM) methods for human operated machines with wireless communications. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Advanced Mechatronic Systems Inderscience Publishers

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References (24)

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1756-8412
eISSN
1756-8420
DOI
10.1504/IJAMechS.2010.033611
Publisher site
See Article on Publisher Site

Abstract

This paper describes the implementation of a generic wireless joystick control for human adaptive mechatronics applications. The proposed implementation uses state-of-the-art wireless sensor node technology and it is easily installed and modified for the needs of different applications. The inherent drawbacks arising from the use of wireless communications, namely packet losses in the controller-to-actuator link, are tackled by introducing a novel compensation method that contributes to the stability and performance of the manually controlled system. The compensation consists of a human controller identification procedure and PIDPLUS-type of algorithm for decreasing the control effort during packet losses. Furthermore, the issues related to signal noise reduction and filtering at the joystick end are addressed as we propose and embed an advanced filtering scheme in the wireless joystick. The joystick control is tested in two laboratory processes and the proposed compensation algorithm is implemented and tested in a trolley crane simulator. The results will serve as a basis for developing human adaptive mechatronics (HAM) methods for human operated machines with wireless communications.

Journal

International Journal of Advanced Mechatronic SystemsInderscience Publishers

Published: Jan 1, 2010

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