Title :
Fuzzy logic approaches for wheeled skid-steer vehicles
Author :
Economou, J.T. ; Colyer, R.E. ; Tsourdos, A. ; White, B.A.
Author_Institution :
R. Mil. Coll. of Sci., Cranfield Univ., Swindon, UK
Abstract :
This paper is concerned with a skid-steer wheeled vehicle which has been modelled using a hybrid modelling (HM) approach and in particular a Takagi-Sugeno (TS) fuzzy logic (FL) framework which results in an effective representation of the complex nonlinear system. The vehicle used here has four permanent magnet d.c. motors for which the analytical steady-state equations are equivalent to a first order TS fuzzy logic model. The vehicle model is formulated with three fuzzy logic TS models. A methodology is proposed which allows the identification of the TS models from experimental data within the HM framework.
Keywords :
electric vehicles; fuzzy control; fuzzy logic; identification; mobile robots; nonlinear systems; Takagi-Sugeno framework; analytical steady-state equations; complex nonlinear system; first order model; fuzzy logic framework; hybrid modelling approach; identification; mobile robot; permanent magnet dc motors; skid-steer wheeled vehicle; Computational intelligence; Fuzzy logic; Intelligent networks; Mathematical model; Mobile robots; Nonlinear equations; Sensor systems; Takagi-Sugeno model; Vehicles; Wheels;
Conference_Titel :
Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th
Print_ISBN :
0-7803-7467-3
DOI :
10.1109/VETECF.2002.1040749