scholarly journals Fault Diagnosis of Networked Control Systems

2008 ◽  
Vol 18 (4) ◽  
pp. 525-538 ◽  
Author(s):  
Christophe Aubrun ◽  
Dominique Sauter ◽  
Joseph Yamé
Keyword(s):  
Fault Diagnosis ◽  
Control Systems ◽  
Communication Networks ◽  
Networked Control Systems ◽  
Data Communication ◽  
Networked Control ◽  
Fault Detection And Isolation ◽  
Packet Dropout ◽  
Closed Loop Systems ◽  
Controlled Systems

Fault Diagnosis of Networked Control Systems Networked Control Systems (NCSs) deal with feedback control systems with loops closed via data communication networks. Control over a network has many advantages compared with traditionally controlled systems, such as a lower implementation cost, reduced wiring, simpler installation and maintenance and higher reliability. Nevertheless, the network-induced delay, packet dropout, asynchronous behavior and other specificities of networks will degrade the performance of closed-loop systems. In this context, it is necessary to develop a new theory for systems that operate in a distributed and asynchronous environment. Research on Fault Detection and Isolation (FDI) for NCSs has received increasing attention in recent years. This paper reviews the state of the art in this topic.

A modification of PI controller based on online adaptive approach to use in networked control systems for remote surgery

2019 ◽  
Vol 14 ◽  
Author(s):  
Benyamin Haghniaz Jahromi ◽  
Seyed Mohammad Taghi Almodarresi ◽  
Pooya Hajebi
Keyword(s):  
Control Systems ◽  
Communication Networks ◽  
Time Delays ◽  
Networked Control Systems ◽  
Data Communication ◽  
Networked Control ◽  
Proportional Integral ◽  
Integral Controller ◽  
Medical Plants ◽  
Proportional Integral Controller

: Networked control systems (NCSs) are used to control industrial and medical plants via data communication networks. These systems have many wide applications in broad range of area such as remote surgery, industrial and space sciences. Two important challenging problems in these systems are stochastic time delays and packet dropouts. Classic proportional-integral controllers due to their simple inherent design and implementation have many applications in controlling industrial and medical plants. However these simple controllers do not have high performance in NCS because of communication networks induced time-varying delays and so this causes instability in NCS. In this paper an adaptive proportional-integral controller is proposed using online estimation of network time delay technique in node application layer. The coefficients of this new controller change according to the values of estimated time delays online. Therefore, the proposed controller causes stability in NCS loop. The performance of proposed method is simulated for a DC motor that can be used in remote surgery. The simulation results show the proposed controller is better at least about 1000 times according to IAE performance index rather than classic proportional-integral controller. Also the results of practical implementation show that the proposed controller causes the stability of NCS.

Robust H∞ Control for Uncertain Discrete Networked Control Systems

2013 ◽  
Vol 380-384 ◽  
pp. 393-397
Author(s):  
Long Chen ◽  
Bai Da Qu
Keyword(s):  
Control Systems ◽  
Closed Loop ◽  
Networked Control Systems ◽  
Networked Control ◽  
Linear Matrix ◽  
Packet Dropout ◽  
Time Varying ◽  
Data Packet Dropout ◽  
Closed Loop Systems ◽  
Cone Complementarity Linearization

This study is concerned with the robust H control for a class of uncertain discrete Networked Control Systems (NCSs). The NCSs with bounded network-induced delay and data packet dropout are modeled as closed-loop systems with time-varying input delay. By using new Lyapunov-Krasovskii function and combining Jessen inequality and reciprocal convex technique, a sufficient condition which asymptotically robust stabilizes closed-loop systems and satisfies H performance index is derived. This study needs fewer Linear Matrix Inequality (LMI), compared with the existing literature. Therefore, the result obtains lower conservativeness. Finally, the robust H controller is obtained with an improved cone complementarity linearization (ICCL).Simulation results show the effectiveness of the proposed method.

Optimal Fault Diagnosis for Networked Control Systems with Large Time-delays and Noises

2012 ◽  
Vol 38 (5) ◽  
pp. 858-864 ◽  
Author(s):  
Juan LI ◽  
You-Gang ZHAO ◽  
Yang YU ◽  
Peng ZHANG ◽  
Hong-Wei GAO
Keyword(s):  
Fault Diagnosis ◽  
Control Systems ◽  
Time Delays ◽  
Large Time ◽  
Networked Control Systems ◽  
Networked Control

α-Stabilization Criterion for Networked Control Systems

2013 ◽  
Vol 321-324 ◽  
pp. 1858-1862 ◽  
Author(s):  
Li Sheng Wei ◽  
Zhi Hui Mei ◽  
Ming Jiang
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Optimization Problem ◽  
Networked Control Systems ◽  
Lyapunov Stability Theory ◽  
Networked Control ◽  
Linear Matrix ◽  
Packet Dropout ◽  
Lmi Approach ◽  
Network Transmission

This study focus on α-Stability constraints for uncertain networked control systems (NCSs) subject to disturbance inputs, where the network transmission is connected with time-delay and packet dropout. The overall NCSs model is derived. In order to obtain much less conservative results, the sufficient condition for feasibility is presented in term of 2nd Lyapunov stability theory and a set of linear matrix inequalities (LMIs). This LMI approach can be the optimization problem of computation of the maximal allowed bound on the time-delay for NCSs.

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