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针对核电站稳压器非线性、时变和多扰动的特点,基于内模控制理论设计了内模PID控制系统,为进行内模PID控制器参数整定,提出了一种高速收敛的量子粒子群算法,经典型函数测试验证了算法的有效性并应用于参数寻优.仿真结果表明:所提出的内模PID控制系统的控制效果优于常规PID控制系统,在对象模型特性改变或模型具有扰动的情况下,内模PID控制器仍能取得较好的控制效果,在鲁棒性和抗干扰能力方面均具有较强优势.
In view of the non-linearity, time-varying and multi-disturbance characteristics of NPP regulators, an internal model PID control system is designed based on the internal model control theory. In order to set the parameters of the internal model PID controller, a fast convergence quantum particle swarm optimization , The classical function test verifies the effectiveness of the algorithm and applies it to the parameter optimization.The simulation results show that the proposed PID control system is superior to the conventional PID control system in the control performance of the object model or the model has disturbances In the case, the inner model PID controller still can obtain the better control effect, has the strong superiority in the robustness and the anti-interference ability aspect.