Intelligent Scheduling Controller Design for Networked Control Systems Based on Estimation of Distribution Algorithm

The use of communication networks in control loops has gained increasing attention in recent years due to its advantages and flexible applications. The network quality-of-service （QoS） in those socalled networked control systems always fluctuates due to changes of the traffic load and available network resources, This paper presents an intelligent scheduling controller design approach for a class of NCSs to handle network QoS variations, The sampling period and control parameters in the controller are simultaneously scheduled to compensate for the network QoS variations. The estimation of distribution algorithm is used to optimize the sampling period and control parameters for better performance. Compared with existing networked control methods, the controller has better ability to compensate for the network QoS variations and to balance network loads. Simulation results show that the plant setting time with the intelligent scheduling controller is reduced by about 64.0% for the medium network load and 49.1% for high network load and demonstrate the effectiveness of the proposed approaches.     

不同覆冰状态下导线风致振动响应仿真

为研究动态风载作用下不同覆冰状态下输电导线的动力响应,利用谐波叠加法模拟多点相关的脉动风速时程曲线,得到不同覆冰形式下的风荷载,建立导线有限元模型,对不同覆冰状态下输电导线各特征参数和风速的相关性,并对导线振动特性以及动张力特性进行分析。结果表明：在随机风作用下,不均匀覆冰对风速的相关性最强;相同风速下,覆冰厚度和覆冰形式对导线振动特性影响不大;均匀覆冰时,导线张力峰值在15 mm覆冰时达到最大,张力峰值为69 180.4 N;不均匀覆冰状态下,中央重覆冰对导线张力的影响强于两侧重覆冰。