Abstract

The nonlinear characteristics in the bicycle robot dynamic system make the bicycle robot control much more difficult. Aiming at this problem, the fuzzy sliding-mode control method was applied to the bicycle robot nonlinear system. A kind of bicycle robot nonlinear dynamic model presented based on Lagrange method was analyzed and a sliding-mode controller was designed with the method of variable structure control theory. And a fuzzy controller was designed at the aim of chattering reduction and rapid response. The fuzzy controller can tune the parameters of sliding-mode control law automatically according to the relation of system states and switching manifold. The computer simulation results show the efficiency of the control algorithm. And the effect of the fuzzy sliding-mode controller is testified by experiments.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.