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

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.

[1]  Liu Guoquan.  The compensation method for the random time-delay of the feedback channel and the forward channel in the networked control system , 2012 .

[2]  Hui Zhang,et al.  Robust Static Output Feedback Control and Remote PID Design for Networked Motor Systems , 2011, IEEE Transactions on Industrial Electronics.

[3]  Hui Zhang,et al.  Robust ℋ︁∞ PID control for multivariable networked control systems with disturbance/noise attenuation , 2012 .

[4]  Chen Hong.  Mixed H_2/H_∞ control of networked control systems with long time-delay , 2008 .

[5]  Mo-Yuen Chow,et al.  Gain scheduler middleware: a methodology to enable existing controllers for networked control and teleoperation-part II: teleoperation , 2004, IEEE Transactions on Industrial Electronics.

[6]  Chen Jin.  PD control of networked control system based on Smith compensation and neural network , 2012 .

[7]  Thomas Parisini,et al.  Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis , 2011, IEEE Transactions on Automatic Control.

[8]  Mo-Yuen Chow,et al.  Gain scheduler middleware: a methodology to enable existing controllers for networked control and teleoperation - part I: networked control , 2004, IEEE Transactions on Industrial Electronics.

[9]  Zhen Li,et al.  Simulation of Networked Control System based on Smith Compensator and Single Neuron Incomplete Differential Forward PID , 2011, J. Networks.

[10]  Linda Bushnell,et al.  Stability analysis of networked control systems , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[11]  Li Zhang,et al.  A novel controller design and evaluation for networked control systems with time-variant delays , 2006 .

[12]  Johan Nilsson,et al.  Stochastic Analysis and Control of Real-Time Systems with Random Time Delays , 1996 .