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Research On Predictive Control Methodology Of The Secondary System Of The Marine Nuclear Power Plant

Posted on:2009-06-30Degree:DoctorType:Dissertation
Country:ChinaCandidate:J SuFull Text:PDF
GTID:1102360272979602Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The control of the secondary system of the integrated nuclear power plant is challenging since 1) the control is a multi-objective task for which many manipulated variables are coordinated to achieve satisfactory plant transients; 2) the system is a nonlinear system; 3) the dynamic characteristics of the plant change with operating conditions. With the performance of digital devices is improved, digital devices and network technology is applied into the control system of nuclear power system, which makes advanced control arithmetic applying into the nuclear power system turn true. The predictive control is advanced control arithmetic of late years. It is noticed with its low depend on the real system math model and the well control result in the nuclear power system. Therefore, in the basis of studying deeply characteristic of the integrated nuclear power plant, modeling and predictive control of the integrated nuclear-powered system are researched in this paper.In the basis of researching the structure and heat transfer features of once-through steam generator, and then according to the mass, energy and momentum balance equation, the steam generator's model is built by lumped parameters with moving boundary. With the built model, static and dynamic characteristics are analyzed. Accomplishing control system of the secondary system of the integrated nuclear power plant base these researches.Aimed at the specialty of the integrated nuclear power plant, in the basis of the built once-through steam generator and turbine model, simulation system of the secondary system of the integrated nuclear power plant is built. The analysis of dynamic characteristic shows the intrinsic features. By the invariableness project of the pressure of outlet steam, the nonlinear model predictive coordinated control arithmetic is applied into the secondary system of the integrated nuclear power plant. The simulation results show the parameters of system fluctuate more greatly during dynamic variety of load, especially operating over a wide power range, which is not in favor of the security of nuclear power plant.Aimed at nonlinear model predictive coordinated control arithmetic is lack of solving coupling and variety of load, in the base of predictive control arithmetic, the turbine speed and outlet steam pressure multi-variable fuzzy model predictive model is designed applying fuzzy control theory, which synthesizes the fuzzy recognition and predictive control arithmetic, and then multi-variable fuzzy model predictive control system is gotten. Compare with nonlinear model predictive coordinated control system, the simulation results show that multi-variable fuzzy model predictive control improves performance of control of the secondary system of the integrated nuclear power plant.Because of serious coupling, nonlinearity and different dynamic characteristic, the multi-variable predictive control of the secondary system of the integrated nuclear power plant based on the integration model is presented. It synthesizes the artificial neural networks model and multi-variable linear predictive model which ameliorates the predictive model in line. The simulation results show that it improve the control capability of the whole system during dynamic variety of load, especially operating over a wide power range. Thereby, the feasibility of this control arithmetic is proved. But there is fluctuation in the control course.Aimed at the lack of being fluctuation in the multi-variable nonlinear predictive control based on the integration model, the multi-variable fuzzy predictive control of the secondary system of the integrated nuclear power plant based on the integration model is designed applying fuzzy theory, which built the fuzzy control capability evaluate form of the input of the control system, selected the best input during fuzzy decision. The simulation results show that the multi-variable fuzzy predictive control based on the integration model improves briefly the dynamic feature of the secondary system of the integrated nuclear power plant and reduced the breadth of the fluctuation of the control system.
Keywords/Search Tags:Integrated nuclear power plant, Nonlinear predictive control, Integration model, Multi-variable fuzzy model predictive control
PDF Full Text Request
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