Research on fault diagnose and fault tolerant control of steam generator based on strong tracking filter

In order to further improve the safety of nuclear power plants, based on the nonlinear system with stochastic noise, the strong tracking filter is used to evaluate the sensor fault bias of steam generator control system and reconstruct the sensors output to implement the fault tolerant control. The simulation results demonstrate that this method can evaluate the time-varying sensor fault bias effectively and has great fault tolerant ability, and the methodology employing the strong tracking filter for steam generator fault tolerant control design is effective.