The Application of Adaptive PSO in PID Parameter Optimization of Unmanned Powered Parafoil

Abstract:

Searching optimal PID parameters depends on the engineering experience and the experience is more time-consuming, less effective. In order to improve the efficiency of optimizing the PID parameters, propose a method of adaptive particle swarm optimization (APSO) to adjust inertia weight. During searching process, taking PID parameters as particles of particle swarm and the standard of ITAE is the performance index of error. If the algorithm is caught into the local optimal, then change the inertia weight. The simulation on the pitch channel of unmanned powered parafoil shows that the PID parameters of parafoil pitch channel controller which is adjusted by APSO have good effect. At the same time, the result can indicate that the PID parameters adjusted by APSO can improve tracking performance of the system, so that it has highly application value.

• Periodical: Advanced Materials Research (Volumes 1049-1050)
• Pages: 1094-1097
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1094
• Online since: October 2014
• Authors: Ya Ping Wang*, Hai Rui Dong
• Keywords: Adoptive, Parameter Optimization, PSO, Unmanned Powered Parafoil

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