针对大规模、实时性要求较高的集散工业控制环境,建立了闭环控制回路用网络来实现的网络化系统.针对网络化系统,提出了一种多时延系统模型.考虑到模型的不确定因素,推出了无记忆状态反馈、鲁棒保性能控制器的存在条件.给出了如何利用MATLAB软件进行控制器设计并给出性能优化的方法.仿真结果表明,该控制器有很好的鲁棒性,对所有允许的网络不确定延迟和模型不确定性,具有良好的性能指标,可以用于分散环境下的大型工业控制系统.
The chief object of this study is to deal with the control of distributed industry environment to meet the large scale and real time requirements. A networked system with close loops was proposed through a real-time network. On the basis of the networked system, a model with multiple delays was presented. Owing to the uncertainty of the model, the sufficient existence condition of un-memory state feedback and robust guaranteed cost controller was proved. The method for designing and optimizing the controller which would use the software MATLAB was also given. The simulation results showed that this controller could robustly preserve the performance in terms of the network delays and the model uncertainty in large scale and distributed industry control systems.