Integral Sliding Mode Controller for an Uncertain Network Control System with Delay

Author(s):  
Zhenbin Gao
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

2021 ◽  
Vol 18 (2) ◽  
pp. 88-97
Author(s):  
T.J. Shima ◽  
H.A. Bashir

An integral sliding mode controller (ISMC) which employs particle swarm optimization (PSO) algorithm to search for optimal values of the parameters of the integral sliding manifold as well as the gains of the controller is proposed in this work. We considered the swing-up and stabilization of the cart-inverted pendulum system which is assumed to be affected by uncertainties. First, we determined the swing-up and stabilization conditions of the control system by using the internal dynamics of the cart-inverted pendulum system and sliding mode dynamics. A PSO algorithm is then used to search for the optimal values of the ISMC design parameters that satisfy the stabilization condition with the aim of improving the transient performance of the control system. To mitigate the chattering phenomenon, a saturation function of the integral sliding variable was used in the discontinuous control law. Simulation results on swing-up and stabilization of the cart-inverted pendulum system revealed improvement in transient behaviour by reducing settling time (by 52.61%), overshoots (by 45.56%) and required track length for cart movement (by 68.34%).


2013 ◽  
Vol 846-847 ◽  
pp. 799-803
Author(s):  
Lei Han ◽  
Qi Hua Xu ◽  
Rui Ming Liu

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.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Pengfei Guo ◽  
Jie Zhang ◽  
Hamid Reza Karimi ◽  
Yurong Liu ◽  
Ming Lyu ◽  
...  

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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