Real-Time Vehicle Navigation in Unknown Environment with Obstacles Using Analytical Fuzzy Controller and Potential Field Method (CROSBI ID 588440)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Baček, Tomislav ; Kasać, Josip ; Majetić, Dubravko ; Brezak, Danko
engleski
Real-Time Vehicle Navigation in Unknown Environment with Obstacles Using Analytical Fuzzy Controller and Potential Field Method
In this paper, reactive vehicle navigation in unknown environment with obstacles, using fuzzy controller, is presented. In order to prevail conventional fuzzy controller drawbacks, analytical fuzzy controller is proposed. Reference trajectory is generated in real-time using potential field method. Vehicle dynamics model is full nonlinear, eleventh order model, which includes three degrees of freedom, wheel dynamics and nonlinear tyre friction model. Controller capabilities are tested depending on different vehicle's initial velocity and different road conditions.
Fuzzy Control; Vehicle Navigation; Potential Field Method
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Podaci o prilogu
2012.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 2012 IEEE World Congress on Computational Intelligence
Podaci o skupu
The 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012)
predavanje
10.06.2012-15.06.2012
Brisbane, Australija