Application of Additive Decomposition Based Composite Control in Image Rotation Compensation Mechanism

This paper focuses on the aerial imaging system image rotation compensation servo mechanism, the influence of disturbance on its tracking accuracy, using additive decomposition theory to decompose the system into two subsystems, the main system is responsible for accurate tracking, the nominal model of which is designed based on acceleration control proportional-derivative (PD) controller to ensure the accurate tracking of the servo mechanism on the moving target; the auxiliary system is responsible for disturbance rejection, the design of generalized The auxiliary system is responsible for the disturbance suppression, and the generalized nonlinear expansion state observer (G-NESO) is designed to observe and compensate for the equivalent disturbance; combined with the new high-order sliding mode compensator, the system disturbance is further refined and compensated. The stability of the control system is proved using Lyapunov theory. Finally, MATLAB simulation is used to verify the effectiveness and feasibility of this method.