DocumentCode :
1863897
Title :
Robust hybrid fuzzy logic control of a novel two-wheeled robotic vehicle with a movable payload under various operating conditions
Author :
Almeshal, A.M. ; Tokhi, M.O. ; Goher, K.M.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2012
fDate :
3-5 Sept. 2012
Firstpage :
747
Lastpage :
752
Abstract :
A novel design of two-wheeled double inverted pendulum-like vehicle with a movable payload is presented in this paper. The developed design extends the abilities of the vehicle with five degrees of freedom. The increase of degrees of freedom provides the vehicle with more flexibility in maneuvering in narrow spaces and limited travel distances. The dynamic model of the system is derived using Euler-Lagrange approach and simulated in Matlab Simulink environment. A hybrid fuzzy logic control approach is adopted to control and stabilise the vehicle. Various external disturbances are applied to the system to test the robustness of the control approach. It is demonstrated that the proposed controller successfully stabilises the vehicle in the upright position.
Keywords :
fuzzy control; mobile robots; motion control; nonlinear control systems; pendulums; position control; robust control; vehicle dynamics; wheels; Euler-Lagrange approach; Matlab Simulink environment; movable payload; robust hybrid fuzzy logic control; robustness; stability; system dynamic model; travel distance; two-wheeled double inverted pendulum-like vehicle; two-wheeled robotic vehicle; upright position control; vehicle maneuvering; Actuators; Force; Fuzzy logic; Mathematical model; Payloads; Vehicles; Wheels; Lagrangian dynamics; double inverted pendulum; fuzzy logic control; hybrid control; modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4673-1559-3
Electronic_ISBN :
978-1-4673-1558-6
Type :
conf
DOI :
10.1109/CONTROL.2012.6334723
Filename :
6334723
Link To Document :
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