Multivariable Identification of Active Magnetic Bearing Systems

Magnetic bearing systems are unstable MIMO1) plants. In addition, there may be poorly damped resonances of the levitated rotor. Advanced control is a crucial issue. System identification is therefore an important prerequisite for fast and reliable commissioning. Reported algorithms have difficulties to estimate the real unstable poles in magnetic bearing systems. Thus, a novel identification algorithm has been developed. Experimental results are included.