Abstract
Aiming at the problem that the traditional PID control algorithm can not control the motor speed of intelligent self-tracking car facing the dynamic changes of the system, this paper proposes a control algorithm based on fuzzy control rules. And the comparison between the proposed Fuzzy-PID control algorithm and the traditional PID control algorithm is analyzed by using MATLAB simulation model. The simulation results show that Fuzzy-PID control algorithm not only retains the advantages of the traditional PID control algorithm is simple and needs small calculation, but also can adapt to the dynamic changes of the system to enhance the anti-interference performance and adaptive ability of the system, and has a faster response speed compared with the traditional PID algorithm.
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 callDisclaimer: 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.
