The control of a gimbal stabilization platform based on the improved radial basis function fuzzy neural network PID algorithm

• Main Authors: Tan, Zheng, Peng, Xiao-le, Zou, Wei, Wang, Jia-nan
• Format: Conference Proceeding
• Language: English
• Published: SPIE 26.06.2023
• ISBN: 9781510666665; 1510666664
• ISSN: 0277-786X
• DOI: 10.1117/12.2683284

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.