Abstract

For the difficulty of tuning the PID controller parameter to control a complex chaotic system, in order to overcome the shortage of basic particle swarm optimization, this paper improves the inertia weight and introduces the uncontrolled chaotic system into the PSO algorithm, proposes the improved dynamic chaos particle swarm optimization algorithm. This paper applies the algorithm to the chaos PID controller parameter optimization and takes a simulation study on the PID control method for the chaotic ship steering control, the results show that the controller parameter optimized by the proposed method can quickly stabilize the chaotic system to fixed point, and the control effectiveness is demonstrated.

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.