Switching Control Method for Optimal State Feedback Controller of Nuclear Reactor Power System

Due to the nonlinearity of the reactor power system, the load tracking situation is closely related to the initial steady-state power and the final steady-state power after the introduction of the state feedback controller. Therefore, when the initial power and the final stable power are determined, the particle swarm optimization algorithm is used to find the optimal controller parameters to minimize the load tracking error. Since there are many combinations of initial stable power and final stable power, it is not possible to find the optimal controller parameters for all combinations, so the neural network is used to take the final stable power and the initial stable power as input, and the optimal controller parameters as the output. This method obtains the optimal state feedback controller switching control method can achieve a very excellent load tracking effect in the case of continuous power change, in the power change time point, the response is fast, in the controller parameter switching time point, the actual power does not fluctuate due to the change of controller parameters. .

不同结果状态下教师反馈对二语语法结构习得的影响

以107名非英语专业大一新生为研究对象,通过前测-实验-后测的方法,探究不同结果状态下,教师的表情性反馈与纠错式反馈对学生主谓一致习得的影响。研究发现:(1)在负向结果状态下,表扬反馈对目标结构的提高效果要优于批评反馈,直接反馈对目标结构的提高效果要优于间接反馈;(2)在正向结果状态下,表情性反馈和纠错式反馈存在交互效应。当教师为学习者提供表扬反馈时,直接反馈对目标结构的提高效果要优于间接反馈。研究表明,在学习结果状态引发的情境语境下,教师的表情性反馈能从认知资源优化和个体情绪调节等方面让学习者对纠错式反馈产生注意偏向或注意回避等效应,进而影响习得结果。