基于互联网的过程控制系统的时延补偿

为了克服不确定性变化的时延影响，基于互联网的过程控制系统的动态性能，在传统的控制系统结构中设计了带时延预测器的网络时延补偿环节．该时延预测器采用AR模型对互联网的传输时延进行在线预测，仿真结果表明在时延变化不太剧烈、稳定性比较好的情况下，有85．3％的时延预测值预测误差在5％以内，利用AR模型取得了很好的预测效果．通过基于互联网的水箱控制系统实验表明：采用该网络时延补偿环节既能保证控制系统的稳定性，又能缩短控制系统稳定的调节时间和减少超调量，改善控制系统的动态性能．

Time-delay compensation for Internet-based process control systems

A time-delay compensator was designed based on traditional control system architecture to overcome the uncertain transmission time-delay influencing the dynamic performance of Internet-based process control systems. The autoregressive (AR) model was adopted to implement the time-delay predictor, utilized to predict the dynamic Internet time-delay online. The simulation results showed that the proportion of time-delay prediction values, with prediction error of less 5?%, reached 85.3?% and the AR model can achieve ideal efficacy if time-delay has no variety abnormally. An Internet-based water tank control system was used to demonstrate the validity of the designed time-delay compensator. The experimental results illustrated that the time-delay compensator can maintain the stability of the process of the control system, shorten setting time, and decrease overshoot of the system, to improve dynamic performance of the system markedly.