Non-linear optimal control for four-wheel omnidirectional mobile robots
G. Rigatos,
K. Busawon,
M. Abbaszadeh and
P. Wira
Cyber-Physical Systems, 2020, vol. 6, issue 4, 181-206
Abstract:
The article proposes a non-linear optimal control approach for four-wheel omnidirectional mobile robots. The method has been successfully tested so-far on the control problem of several types of autonomous ground vehicles and the present article shows that it can also provide the only optimal solution to the control problem of four-wheel omnidirectional robotic vehicles. To implement this control scheme, the state-space model of the robotic vehicle undergoes first approximate linearisation around a temporary operating point, through first-order Taylor series expansion and through the computation of the associated Jacobian matrices. To select the feedback gains of the H-infinity controller an algebraic Riccati equation is repetitively solved at each time-step of the control method. The global stability properties of the control loop are proven through Lyapunov analysis. Finally, to implement state estimation-based feedback control, the H-infinity Kalman Filter is used as a robust state estimator.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23335777.2020.1716269 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tcybxx:v:6:y:2020:i:4:p:181-206
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tcyb20
DOI: 10.1080/23335777.2020.1716269
Access Statistics for this article
Cyber-Physical Systems is currently edited by Yang Xiao
More articles in Cyber-Physical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().