The invention discloses a
correlation analysis-based magnetic suspension rotor
system on-line time-
lag identification method, which comprises the following steps of: generating a sine
excitation signal through an
excitation signal generator to excite a magnetic suspension rotor
system, collecting a control
voltage and a displacement
signal, and introducing the control
voltage and the displacement
signal into a cross-correlation time-
lag identifier to carry out time-
lag identification. The time-
delay identifier is composed of a band-pass filter, a conversion
transfer function, a data storage module and a cross-correlation time-
delay identification operation module.
Voltage and displacement signals which are introduced into the cross-correlation time-lag identifier are firstly filtered through a band-pass filter and then converted into homologous signals through a conversion
transfer function, then data storage and iteration are carried out by utilizing a data storage module, and finally the required time-lag amount is identified by utilizing a cross-correlation operation module. According to the method, the
advantage that the magnetic suspension rotor
system is active and controllable is utilized, extra
testing equipment does not need to be used, the structure is simple, few computing resources are occupied, time
delay information in the system can be obtained online, and time delay identification of the magnetic suspension rotor system is achieved.