GESO-Based Position Synchronization Control of Networked Multiaxis Motion System

Abstract

This paper studies the position synchronization control problem for networked multiaxis motion systems (NMAMSs). First, a position synchronization error model is established for the multiaxis motion system, and the uncertainty induced by the network-induced delay is modeled as an additive disturbance of the system. Second, the delay-induced uncertainty and the external disturbances such as load torque variation are lumped together as a total disturbance in the system model. Based on the established position synchronization error model, a generalized extended state observer (GESO) is designed to estimate the lumped disturbance and system states simultaneously. Then, the GESO-based synchronization controller is designed to achieve the objective of position synchronization and disturbance rejection, and the effect of the network-induced delay in the synchronization performance is significantly reduced. Moreover, an input-to-state stability condition is presented for the position synchronization system. Finally, experiments on a four-motors position synchronization control platform are presented to demonstrate the effectiveness and superiority of the proposed method.