Networked control system with network time-delay compensation

Author(s):  
Zaiping Chen ◽  
Liang Liu ◽  
Xunlei Yin
2021 ◽  
Vol 69 (1) ◽  
pp. 41-51
Author(s):  
Zhongda Tian

AbstractThe network-induced time-delay caused by the introduction of the communication network in a networked control system has a great negative impact on the stability and performance of the system. In order to compensate for the performance degradation of the networked control system caused by time-delay, a time-delay compensation method based on PI-based dynamic matrix control for networked control system is proposed. In this study, autoregressive integrated moving average model is used to predict the future time-delay. The predictive time-delay replaces the actual time-delay as a parameter of the controller. In order to improve the compensation effect of dynamic matrix control, the feedback structure of the PI control and the predictive ability of dynamic matrix control are combined. The new objective function of dynamic matrix control is combined with PI structure to obtain the optimal control increment value. The PI controller can correct the output of dynamic matrix control and reduce the deviation between the actual output and the predicted output. The effect of the model mismatch and interference on the system is reduced. The robustness and anti-interference performance of the system is improved. The controller can select the appropriate control value to transmit to the actuator to compensate for the effect of the random time-delay in the networked control system. The stability of the compensation method is proved. Through the simulation results, the effectiveness of the proposed time-delay compensation method is verified.


2020 ◽  
Vol 1577 ◽  
pp. 012031
Author(s):  
R Panuntun ◽  
O Wahyunggoro ◽  
S Herdjunanto ◽  
A R Rafsanzani ◽  
N Setiawan

Author(s):  
Zhongda Tian ◽  
Yanhong Wang

This study proposes a novel predictive control compensation method to deal with random time-delay in networked control system. Different from other compensation strategies, this study adopts different compensation strategies for input time-delay and output time-delay to improve the control effect. First, for the input channel time-delay, the corresponding buffer is set by the time-stamp in the packet. Combining the historical output value and the control variable, the fast implicit generalized predictive control algorithm is adopted to design the predictive controller to compensate for the input channel time-delay. Second, for the output channel time-delay, the controller cannot measure it. A control compensator is designed by adding a feedback loop. The output control variable of the predictive controller is adjusted by predicting the error between the actual control signal and the controller output at the historical sampling time, so as to compensate for the time-delay of the output channel. In addition, the stability of the proposed time-delay compensation method is analyzed. Finally, simulation and experimental results show that the proposed method has good control and compensation effect, and improves the output performance of the system. The networked control system with random time-delay is stable. Furthermore, the simulation results also show that this time-delay compensation method needs less computing time and is more suitable for the practical applications.


2014 ◽  
Vol 971-973 ◽  
pp. 1266-1271
Author(s):  
Tie Jun Chen ◽  
Ke Yi Liu

A new delay compensation control algorithm is applied to the networked control system (NCS), in which the characters of random time-delay and packet loss involved. Firstly, the ideal model of networked control system is considered as a reference model, and then the Lyapunov stability theory is used to design an adaptive control algorithm which generates a bounded control input, it is guaranteed that generalized output error is closing to zero. Narandra stability adaptive controller is used in the networked control system, which has many advantages including simple algorithm, less time computing, fast response. The simulation results are shown that the networked control system is well controlled by this method.


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