Abstract
According to the high control quality requirements of nuclear power plants and the features of the pressurizer pressure with large inertia, time-varying, nonlinear, multi-interference, difficulty in obtaining accurate mathematical model, and open-loop unstable dynamic characteristic, the advanced control strategy is needed for pressurizer pressure control performance optimization. To tackle the problem, an adaptive predictive control method for pressurizer pressure is devised in this paper. Firstly, the non-self-regulating system is stabilized and the adaptive dynamic matrix controller is designed by identifying the controlled object online. In order to realize the engineering application for this controller, then the control signal output is obtained. Finally, the control system simulation platform is built. Simulation results reveal a superior control performance, disturbance rejection, and adaptability. Furthermore, it provides a solution for the application of dynamic matrix control algorithm in non-self-regulating system.
Highlights
Load changes or core reactivity disturbances may cause pressure changes in the primary circuit of a nuclear power plant
The function of adaptive Dynamic Matrix Control (DMC) controller of pressurizer pressure control system in nuclear power plant is realized in Visual Studio2010
The results show that the disturbance rejection ability of adaptive predictive controller is better than that of ordinary dynamic matrix controller and PID controller, and it can achieve a faster and more stable control effect
Summary
Load changes or core reactivity disturbances may cause pressure changes in the primary circuit of a nuclear power plant. A pressurizer is a major component to control a system pressure in primary circuit for a nuclear power plant. Because of the high control quality requirements of nuclear power plants and the nonlinear characteristics of pressurizer pressure under different operating conditions, PID sometimes does not guarantee good control effect. The pressurizer pressure has the features of large inertia, time-varying, nonlinear, multi-interference, difficulty in obtaining accurate mathematical model, and open-loop unstable dynamic characteristic. All these features lead to problem of choosing an appropriate method for control performance optimization.
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