Two-Level Optimal Controller Design Based on PSO and Adaptive Control for Satellite Simulator System

This paper presents an adaptive inverse dynamic control method based on the Particle Swarm Optimization (PSO) algorithm to control the Euler angles of a three-degree-of-freedom satellite simulator platform with uncertain parameters. The controller design is carried out in two stages. In the first stage, the control coefficients of the inverse dynamic method are determined offline using PSO. In the second stage, the system parameters are estimated online through the adaptive control method for integration into the inverse dynamic control approach. This hybrid strategy improves both the performance and adaptability of the controller. The effectiveness of the proposed control approach has been evaluated under disturbances and realistic environmental conditions. Test results demonstrate that the method effectively controls the Euler angles, achieving an angular error of less than 0.5 degrees. Additionally, each axis's average integral of the absolute error value has been calculated and compared with conventional PID and adaptive PID control methods. The results indicate that the proposed method significantly improves, reducing the error by approximately 20% compared to conventional methods.