基于特征模型的NCSs灰预测黄金分割控制器设计

针对网络控制系统,提出了一种基于特征模型的灰预测黄金分割控制器。首先,通过建立被控对象的二阶特征模型,以设计系统黄金分割控制器,并在反馈通道引入自适应灰预测器,根据控制系统实际输出误差值,自适应调整预测步长以提高系统控制性能;其次,详细推导了整个闭环系统的数学模型,并利用李雅普诺夫理论,推导出系统的稳定性条件,从而为网络环境下的系统控制提供了一种新思路;最后,通过仿真验证了本文所提方法的有效性与可行性。

Design of NCSs grey prediction golden section adaptive controller based on feature model

The issue of grey prediction golden section adaptive control strategy based on feature model for NCSs was researched. Firstly, the golden section controller was constructed by using the two order characteristic model of the controlled plant, and a grey predictor was introduced in its feedback loop. In order to improve the control performance of NCSs, an on line switching mechanism was adopted to regulate appropriately the forecasting step size of the grey predictor by NCSs output error values. Then, the complete mathematical model is given. And the sufficient condition for stability was derived by using Lyapunov theory, which provided a new idea for the system control in the network environment. Finally, the efficacy and feasibility of the proposed method is shown by presenting simulation results.