Research on Rigid-Flexible Coupling Modeling and Fuzzy Adaptive PID Control for Phased Deployment of Large Flexible Solar Panels
Year: 2026
Type: conference-paper
Abstract: Deployment control of large flexible solar panels is critical to the performance and safety of aerospace and large-scale ground photovoltaic systems. However, three key challenges remain: poor attitude tracking accuracy with overshoot and oscillation during multi-stage switching; vibration and deformation of flexible structures induced by rigid-body inertia and wind loads, risking fatigue damage; and low adaptability of fixed-parameter controllers to random wind disturbance, friction, and time-varying parameters. To overcome these issues, this paper proposes a fuzzy logic–integrated adaptive PID control strategy under a unified framework of phased target planning, fuzzy parameter tuning, rigid-flexible coupling modeling, and disturbance compensation. A rigid-flexible coupling model is developed using Euler-Bernoulli beam theory and rigid-body dynamics to characterize the coupling between elastic moment and inertial force. A four-stage deployment profile is designed, and PID parameters are adjusted in real time via fuzzy logic, with anti-integral saturation and amplitude limiting. A composite "sine random" disturbance compensation scheme is adopted. In MATLAB/Simulink show that the proposed method yields a maximum tracking error of only 4.2°, settling time below 2.5 s, and no overshoot. Peak deformation is less than 5.5 mm, well under the 50 mm safety limit, and torque fluctuation is controlled within 12% under 15 N external disturbance. The strategy achieves coordinated optimization of tracking precision, deformation suppression, and disturbance rejection, supporting reliable deployment control of large flexible structures in aerospace and photovoltaic applications.
Author: Zhaohaojun Zhang
Institution: University of Shanghai for Science and Technology
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7224865363