Paper
26 June 2023 The control of a gimbal stabilization platform based on the improved radial basis function fuzzy neural network PID algorithm
Zheng Tan, Xiao-le Peng, Wei Zou, Jia-nan Wang
Author Affiliations +
Abstract
To ensure the stability of image guiding head control, an improved genetic and particle swarm hybrid algorithm optimized RBF fuzzy neural network tuned PID control strategy was proposed for the correction of the image guiding head stable loop. According to the kinematics and dynamics of the image guiding head, combined with the RBF fuzzy neural network PID control algorithm, a simulation model of the image guiding head stable loop was established. The simulation results showed that after the image guiding head stable loop adopted the RBF fuzzy neural network tuned PID controller optimized by the improved hybrid algorithm, its dynamic performance was better than the traditional PID controller, and the established simulation model could well eliminate the nonlinear disturbance and improve the robustness of the stable loop, which could provide certain reference in engineering application.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Tan, Xiao-le Peng, Wei Zou, and Jia-nan Wang "The control of a gimbal stabilization platform based on the improved radial basis function fuzzy neural network PID algorithm", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127210H (26 June 2023); https://doi.org/10.1117/12.2683284
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Particle swarm optimization

Neural networks

Fuzzy logic

Head

Particles

Control systems

Evolutionary algorithms

Back to Top