Real-time diagnosis of slide valve and oil servomotor's jam faults based on strong tracking filter

摘要

Jam fault occurs most times in the hydraulic servo system, and is the one of the factors that mainly influences the reliability of the system. For parallel-operated turbine, the jam faults of regulating system are elusive and fatal. In order to monitor operation condition and improve the reliability of the system online, the model of jam fault had been built, the sizes of the dead zones which describe jam fault had been viewed as unmeasured parameters, which avoided the model uncertainty brought by the linearization of nonlinear system, and strong tracking filter had been used to estimate unmeasured parameter. Simulation and experimental results verified that, this technique could accurately, synchronously estimate respective degrees of jam faults of slide valve and pilot valve online whether in daily operation or moving test.