Control of active magnetic bearing systems with input delay for applications in remotely controlled turbomachinery

In this paper we investigate the control of active magnetic bearing (AMB) systems in the presence of input delays. First, we introduce an AMB test rig with a flexible rotor. This test rig, which was designed to closely represent AMB systems found in industrial gas compressors, serves as the platform for the derivation and testing of the proposed control law. Based on the modeled dynamics of the AMB test rig, a truncated predictor feedback (TPF) control law is constructed to maximize the input delay that the stable closed-loop system can tolerate. The controller corresponding to the maximum input delay is obtained through the path-following method, based on the previous results that extended the TPF controller to exponentially unstable systems. The capabilities of the designed TPF controller is verified through numerical simulation.