Abstract

The key work of this paper proposes a fuzzy PID control scheme to automatic vehicle obstacle avoidance. By the genetic algorithm, the local optimum parameters are solved. The fuzzy rule is used to tune intelligently the optimal parameters among some range. On the basis of relationship of inputs and output, a fuzzy inference rule is made up. To demonstrate the effectiveness of the proposed rule, a prototype board is developed in this paper. A PC based operating platform is used to have human interface characteristic and fast process capability. Finally, the experiment will show robustness and smoothness of the fuzzy PID rule about that automatic vehicle obstacle avoidance.

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.