Research On The Application Of Generalized Predictive Control In Reactor-Machine Coordination Of Nuclear Power System

With the rapid development of the world economy,nuclear energy has gradually become an important direction of energy development in both developed and developing countries.Whether in the power generation industry,the ocean shipping industry,or even the military industry,there are many companies and scholars have been more in-depth study of nuclear energy.The coordinated control system in the nuclear power system is also the key to the safety and stability of the whole nuclear power system.With the rapid development of computer control technology and modern control strategy theory,advanced control theory is gradually applied to nuclear power system.Therefore,the control strategy research of coordinated control system has become an important research topic.Taking a nuclear power system as the research object,the generalized predictive control algorithm of coordinated control system is studied in this paper.Firstly,the single variable generalized predictive control algorithm is studied,and the improved ant colony algorithm is used to optimize the parameters of GPC algorithm to improve the control quality.Then,the process of multivariable GPC algorithm is studied,and the decentralized optimization multivariable GPC algorithm is applied to a nuclear power system with several decoupling control methods,this paper studies the controlled object of a Nuclear Power System(hereinafter referred to as nuclear power system),and applies the multi-variable GPC to the coordinated controlled object,and compares it with the ordinary Pid,and obtains the conclusion that the multi-variable GPC is obviously better than the ordinary PID,the multi-variable GPC is applied to a special simulator platform based on the nuclear power system,and the real-time simulation is carried out to verify the effectiveness of the control algorithm in this paper.