Network Control System Fault Diagnosis Method Based on Sliding Mode Observer

2013 ◽  
Vol 846-847 ◽  
pp. 799-803
Author(s):  
Lei Han ◽  
Qi Hua Xu ◽  
Rui Ming Liu
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Sliding Mode ◽  
Network Control ◽  
Stability Theorem ◽  
Sliding Mode Observer ◽  
Lyapunov Stability Theorem ◽  
Network Control System ◽  
Diagnosis Method ◽  
Simulation Results

This paper constructs a sliding mode observer of fixed long delay network control system with an augmented modeling method, and then proves the feasibility of system residuals converging to zero by Lyapunov stability theorem. The network control system fault diagnosis is discussed in depth by detecting changes in the residuals. In addition, this paper takes Gradient faults and mutation faults of actuator as examples to conduct fault diagnosis simulation, and the simulation results show that this method can detect the system faults effectively.

Fault Diagnosis Method for a Network Control System with Long-Time Delay and Data Packet Loss Based on H∞ Filtering

2013 ◽  
Vol 846-847 ◽  
pp. 795-798
Author(s):  
Jiao Meng ◽  
Qi Hua Xu ◽  
Xiao Xiao
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Time Delay ◽  
Packet Loss ◽  
Estimation Error ◽  
Network Control ◽  
Data Packet ◽  
Practical Significance ◽  
Network Control System ◽  
Long Time

Improving network control system---NCS reliability and safety has important practical significance because NCS is a hot research subject in these years. Fault diagnosis methods are researched in this paper according to NCS with long-time delay and data packet loss. Firstly, given a NCS with long-time delay, a state observer is structured. Secondly, make the state estimation error equation equivalent to an asynchronous dynamical system having event incidence constraint according to whether the system having data packets loss. The problem of fault diagnosis is converted to filtering problem through structuring filtering residual system based on the observer, then giving a corresponding filter designing algorithm. The designed fault diagnosis filter system not only make sure the stability of the closed loop system but also make the residual systems norm less than given reduction level. Finally, the simulation results prove that the algorithm can diagnose faults effectively.

Backstepping sliding mode neural network control system for hypersonic vehicle

2019 ◽  
Vol 27 (11) ◽  
pp. 2392-2401
Author(s):  
刘 蓉 LIU Rong ◽  
黄大庆 HUANG Da-qing ◽  
姜定国 JIANG Ding-guo
Keyword(s):  
Neural Network ◽  
Control System ◽  
Sliding Mode ◽  
Hypersonic Vehicle ◽  
Network Control ◽  
Neural Network Control ◽  
Network Control System

Research on the Fault Diagnosis Method of the Reconfigurable Modular Robot Based on Second-Order Sliding Mode Observer

2014 ◽  
Vol 541-542 ◽  
pp. 1062-1066
Author(s):  
Liang Wu ◽  
Yuan Chun Li
Keyword(s):  
Fault Diagnosis ◽  
Sliding Mode ◽  
Lyapunov Stability Theory ◽  
Second Order ◽  
Sliding Mode Observer ◽  
Modular Robots ◽  
Modular Robot ◽  
Joint Friction ◽  
Diagnosis Method ◽  
Second Order Sliding Mode

This paper was concerned with the fault diagnosis method based on the second-order sliding mode observer (SOSMO) for reconfigurable modular robot systems with joint friction. The residual signal between given threshold and output of the SOSMO are utilized to directly and effectively detect the fault of reconfigurable modular robot. The stability of the SOSMO is proved by using Lyapunov stability theory. In order to demonstrate the effectiveness of the proposed method, two different 2-DOF reconfigurable modular robots are employed for simulation.

scholarly journals State Estimation for Wireless Network Control System with Stochastic Uncertainty and Time Delay Based on Sliding Mode Observer

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Pengfei Guo ◽  
Jie Zhang ◽  
Hamid Reza Karimi ◽  
Yurong Liu ◽  
Ming Lyu ◽  
...  
Keyword(s):  
Control System ◽  
Time Delay ◽  
State Estimation ◽  
Wireless Network ◽  
Sliding Mode ◽  
Network Control ◽  
Sliding Surface ◽  
Network Control System ◽  
Stochastic Uncertainty ◽  
System States

State estimation problem is considered for a kind of wireless network control system with stochastic uncertainty and time delay. A sliding mode observer is designed for the system under the situation that no missing measurement occurs and system uncertainty happens in a stochastic way. The observer designed for the system can guarantee the system states will be driven onto the sliding surface under control law, and the sliding motion of system states on sliding surface will be stable. By constructing proper Lyapunov-Krasovskii functional, sufficient conditions are acquired via linear matrix inequality. Finally, simulation result is employed to show the effectiveness of the proposed method.

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