摘要
一般来说,集中式预测控制问题可以用分布式预测控制方法求解,求解的精度与问题的性质有关。分布式控制系统需要通讯的数据,可以根据所得控制律的形式来确定。在网络环境下,采用集中式控制时,可能因为通讯的数据量过大造成网络通讯的各种问题。采用分布式的控制方法,是为了减少数据通讯量,从而有效地利用现有的网络资源,得到要求的控制效果。本文提供了实际应用中减少分布式预测控制系统的通讯量的方法。通过仿真验证了逻辑分析结果。
In general, a centralized predictive control problem can be solved by distributed predictive control method, for which the accuracy depends on the problem.The data to be communicated in a distributed control system can be seen according to the obtained control law. In networked environment, when the centralized control is adopted, it may incur various issues due to the oversized com- munication data. Using the distributed control method is to reduce the communication burden, so as to more effectively use the existing network resources, and obtain the desired control effect. This paper provides the methods to reduce the number of the communicating data in the practical distributed predictive control.The logical analysis results are validated through the simulation.
出处
《微计算机信息》
2009年第13期16-17,45,共3页
Control & Automation
基金
基金申请人:丁宝苍
项目名称:多速率采样
基金颁发部门:国家自然科学基金委(60504013)
关键词
预测控制
分布式控制
数据通讯
优化算法
predictive control
distributed control
data communication
optimization algorithm