An improved implicit multiple model predictive control used for movable nuclear power plant

Compared with the nuclear power station, the movable nuclear plant has the special requirement of the load following ability and is more difficult to control. In this work, a MMPC (multiple model predictive control) method is applied to the power system of the movable nuclear plant. The linear models used to describe the power changing process, according to which the local controllers are designed, still suffer rough switching. In this paper, work has been done on the improvement of MMPC to make it better in application to the power system of the movable nuclear plant. The simulation results show that these modifications are available to improve the system's dynamic characters, and the multiple strategy is efficacious to solve the control problem of the parameter time-variable nonlinear system.