Adaptive Predictive Functional Control for Networked Control Systems with Random Delays

Nowadays, more and more field devices are connected to the central controller through a serial communication network such as fieldbus or industrial Ethernet. Some of these serial communication networks like controller area network （CAN） or industrial Ethernet will introduce random transfer delays into the networked control systems （NCS）, which causes control performance degradation and even system instability. To address this problem, the adaptive predictive functional control algorithm is derived by applying the concept of predictive functional control to a discrete state space model with variable delay. The method of estimating the networkinduced delay is also proposed to facilitate the control algorithm implementing. Then, an NCS simulation research based on TrueTime simulator is carried out to validate the proposed control algorithm. The numerical simulations show that the proposed adaptive predictive functional control algorithm is effective for NCS with random delays.

基于动态价格调控策略的电动车微网有序充电控制

大量电动汽车的随机无序充电行为将会对配电网络的运行安全造成一定负面效应,扩大电网峰谷差率。本文结合V2G(Vehicle-to-grid)理念,提出微网动态调控策略引导电动车辆充电行为,制定动态电价引导方案。实验仿真结果表明:该动态电价调控策略能从充电经济效益角度,引导车辆参与有序充电调控、满足用户多样的充电诉求、增强应对突发应急充电事件的响应度。