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Research on Fuzzy Immune Self-Adaptive PID Algorithm Based on New Smith Predictor for Networked Control System

机译:网络控制系统的基于新Smith预估器的模糊免疫自适应PID算法研究

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摘要

We first analyze the effect of network-induced delay on the stability of networked control systems (NCSs). Then, aiming at stochastic characteristics of the time delay, we introduce a new Smith predictor to remove the exponential function with the time delay in the closed-loop characteristic equation of the NCS. Furthermore, we combine the fuzzy PID algorithm with the fuzzy immune control algorithm and present a fuzzy immune self-adaptive PID algorithm to compensate the influence of the model deviation of the controlled object. At last, a kind of fuzzy immune self-adaptive PID algorithm based on new Smith predictor is presented to apply to the NCS. The simulation research on a DC motor is given to show the effectiveness of the proposed algorithm.
机译:我们首先分析网络引起的延迟对网络控制系统(NCS)稳定性的影响。然后,针对时间延迟的随机特性,我们引入了一种新的Smith预估器,以消除NCS闭环特征方程中具有时间延迟的指数函数。此外,我们将模糊PID算法与模糊免疫控制算法相结合,提出了一种模糊免疫自适应PID算法来补偿受控对象模型偏差的影响。最后,提出了一种基于新型史密斯预测器的模糊免疫自适应PID算法,以应用于NCS。通过对直流电动机的仿真研究,证明了该算法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第1期|343416.1-343416.6|共6页
  • 作者单位

    Henan Univ Sci & Technol, Informat Engn Coll, Luoyang 471023, Henan, Peoples R China.;

    Henan Univ Sci & Technol, Informat Engn Coll, Luoyang 471023, Henan, Peoples R China.;

    Henan Univ Sci & Technol, Informat Engn Coll, Luoyang 471023, Henan, Peoples R China.;

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