Self-tuning model algorithmic control of thermal power tracking system for the nuclear reactor

The nuclear reactor is a complex nonlinear system with uncertain parameters and disturbances. Based on the self-tuning model algorithmic control principle, a new thermal power tracking control method for the nuclear reactor is presented. The method can overcome the bad control quality of the normal multi-step model algorithmic control method, while the big variation of the system parameters occurs or the estimated model is inaccurate. After comparing with the normal multi-step model algorithmic control method, the simulation results show that the method presented in the paper makes the nuclear reactor system have stronger robustness and better performances.