The predictive control for the networked control system with long time-delay

The long time-delay will result in the performance degradation of the networked control system. In this paper, a time-delay compensation method based on time stamp and fast implicit generalized predictive control is proposed. Because the differential action is introduced, this fast implicit generalized predictive control algorithm reduces the computation time and improves the performance of the control system. The time-delay of the network will be obtained by the time stamp in the packet that transmitted in the network. Then, the proposed fast implicit generalized predictive control is used to calculate the control variable. Finally, some simulation experiments are given. The simulation results show that the proposed predictive control method has a good compensation effect for the networked control system with long time-delay. The performance and stability of networked control system is improved.

[1]  Jian Huang,et al.  Stochastic switched controller design of networked control systems with a random long delay , 2011 .

[2]  Wing Shing Wong,et al.  Hybrid event-time-triggered networked control systems: Scheduling-event-control co-design , 2015, Inf. Sci..

[3]  Dan Zhang,et al.  Analysis and synthesis of networked control systems: A survey of recent advances and challenges. , 2017, ISA transactions.

[4]  Jafar Zarei,et al.  Static-output feedback controller design for a class of nonlinear networked control systems with random delay and data packet dropout , 2016 .

[5]  Marcello Farina,et al.  Stochastic linear Model Predictive Control with chance constraints – A review , 2016 .

[6]  Zheng Yan,et al.  Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[7]  Huijun Gao,et al.  Robust $H_{\infty}$ Filtering for a Class of Nonlinear Networked Systems With Multiple Stochastic Communication Delays and Packet Dropouts , 2010, IEEE Transactions on Signal Processing.

[8]  Xianwen Gao,et al.  Time-delay compensation method for networked control system based on time-delay prediction and implicit PIGPC , 2015, Int. J. Autom. Comput..

[9]  Qing-Long Han,et al.  An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems , 2017, IEEE Transactions on Industrial Informatics.

[10]  Xinghuo Yu,et al.  Survey on Recent Advances in Networked Control Systems , 2016, IEEE Transactions on Industrial Informatics.

[11]  Zheng Yuan,et al.  Finite-time Control Synthesis of Networked Control Systems with Time-varying Delays , 2011 .

[12]  Jun Hu,et al.  Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects , 2016, Inf. Fusion.

[13]  Yanhong Wang,et al.  Networked Control System Time-Delay Compensation Based on Time-Delay Prediction and Improved Implicit GPC , 2015, Algorithms.

[14]  Huanshui Zhang,et al.  Stabilization of networked control systems with both network-induced delay and packet dropout , 2015, Autom..

[15]  Song Hongbo.  Guaranteed cost control for networked control systems with random long time-delay , 2010 .

[16]  Qing-Long Han,et al.  Distributed networked control systems: A brief overview , 2017, Inf. Sci..

[17]  Wen-an Zhang,et al.  New results on stabilization of networked control systems with packet disordering , 2015, Autom..

[18]  Khaled M. Abo-Al-Ez,et al.  Application of nonlinear model predictive control based on swarm optimization in power systems optimal operation with wind resources , 2017 .

[19]  Ling Huang,et al.  Improved H∞ control for networked control systems with network-induced delay and packet dropout , 2016 .

[20]  Yang Shi,et al.  Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains , 2009, IEEE Transactions on Automatic Control.

[21]  Fan Wu,et al.  Delay constraint energy efficient broadcasting in heterogeneous MRMC wireless networks , 2017, Comput. Commun..