Turning Motion Control Design of a Two-Wheeled Inverted Pendulum Using Curvature Tracking and Optimal Control Theory
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 634-652 |
Journal / Publication | Journal of Optimization Theory and Applications |
Volume | 181 |
Issue number | 2 |
Online published | 28 Jan 2019 |
Publication status | Published - May 2019 |
Link(s)
DOI | DOI |
---|---|
Attachment(s) | Documents
Publisher's Copyright Statement
|
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85060990198&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(45d3b8cd-3ce7-4761-87a3-d73a80cbf4d4).html |
Abstract
This paper presents a control design method for implementing planar turning motion of a two-wheeled inverted pendulum with an input delay. The control task requires that the inverted pendulum is kept stabilized during the whole turning motion process along a pre-settled curve. Firstly, by using the theory of planar curve, key observations about the motion law of the two-wheeled mobile chassis are made and they are used to set up a dynamical trajectory tracking target. Then, by adjusting the parameters in the tracking target and the weights in the quadratic performance criterion, the optimal integral sliding mode controller based on a linear quadratic regulator is designed for keeping the vehicle body stabilized and tracking a circular path for the two-wheeled inverted pendulum. An illustrative example is given to demonstrate the validity of the theory with numerical simulation.
Research Area(s)
- Curvature tracking, Dynamical tracking target, Input delay, Optimal control, Two-wheeled inverted pendulum
Citation Format(s)
Turning Motion Control Design of a Two-Wheeled Inverted Pendulum Using Curvature Tracking and Optimal Control Theory. / Zhou, Yusheng; Wang, Zaihua; Chung, Kwok-wai.
In: Journal of Optimization Theory and Applications, Vol. 181, No. 2, 05.2019, p. 634-652.
In: Journal of Optimization Theory and Applications, Vol. 181, No. 2, 05.2019, p. 634-652.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Download Statistics
No data available