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An Intelligent Control Scheme to Facilitate Abrupt Stopping on Self-Adjustable Treadmills

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Abstract
The control problem in self-adjustable treadmills
is to keep the position of the user at a reference position. The
position error is the key obstacle in facilitating the abrupt
stopping on self-adjustable treadmills. Another difficulty in this
application is the oscillatory response of the closed-loop system.
The conventional control methods utilize a high-gain observer to
estimate the user velocity and exploit this information beside
feedback signals to decrease the position error. Utilizing the
high-gain observer, however, applies anomalous force (AF) to
the user, leading to an unnatural feeling, and does not guarantee
an oscillation-free response for the output. This paper aims
to alleviate these problems by proposing a supervisory control
scheme. First, a RISE controller is utilized for walking/running
stage to compensate for slowly varying uncertainties in the
system model without applying a large AF. Then, a positiveoutput controller is exploited for the stopping stage to guarantee
the convergence of the position error without oscillation. Using
the estimated intentional velocity and acceleration, a supervisory system is designed to switch between the controllers.
Experimental results show the superiority of the proposed
approach over the existing method
Author(s)
Hamed Jabbari AslPyo, SanghunYoon, Jung Won
Issued Date
2018-05-21
Type
Conference Paper
URI
https://scholar.gist.ac.kr/handle/local/8557
Publisher
IEEE
Citation
2018 IEEE International Conference on Robotics and Automation
Conference Place
AT
Brisbane, Australia
Appears in Collections:
Department of AI Convergence > 2. Conference Papers
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