Sliding Mode Adaptive Control for Singular Stochastic Systems with Time-Delay and Uncertainty

2021 ◽  
Vol 11 (05) ◽  
pp. 776-789
Author(s):  
钟月 张
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Stochastic Systems ◽  
Sliding Mode ◽  
Singular Stochastic Systems

scholarly journals Enhanced Nonlinear Robust Control for TCSC in Power System

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Chao Zhang ◽  
Xing Wang ◽  
Zhengfeng Ming ◽  
Zhuang Cai
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Robust Control ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Uncertain Parameter ◽  
Adaptive Backstepping ◽  
External Disturbances ◽  
Backstepping Sliding Mode Control

This paper proposes an enhanced robust control method, which is for thyristor controlled series compensator (TCSC) in presences of time-delay nonlinearity, uncertain parameter, and external disturbances. Unlike conventional adaptive control methods, the uncertain parameter is estimated by using system immersion and manifold invariant (I&I) adaptive control. Thus, the oscillation of states caused by the coupling between parameter estimator and system states can be avoided. In addition, in order to overcome the influences of time-delay nonlinearity and external disturbances, backstepping sliding mode control is adopted to design control law recursively. Furthermore, robustness of TCSC control subsystem is achievable provided that dissipation inequality is satisfied in each step. Effectiveness and efficiencies of the proposed control method are verified by simulations. Compared with adaptive backstepping sliding mode control and adaptive backstepping control, the time of reaching steady state is shortened by at least 11% and the oscillation amplitudes of transient responses are reduced by at most 50%.

Time Delay and Uncertainty Compensation in Bilateral Telerobotic Systems

2013 ◽  
pp. 208-238
Author(s):  
Spyros G. Tzafestas ◽  
Andreas-Ioannis Mantelos
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Robust Control ◽  
Scattering Theory ◽  
Sliding Mode ◽  
Bilateral Teleoperation ◽  
Neural Learning ◽  
Neurofuzzy Control ◽  
State Of Art ◽  
Uncertainty Compensation

This chapter presents the state-of-art of the bilateral teleoperation field. It starts with a discusion of the early class of techniques, which are based on passivity and scattering theory. The main issue in bilateral telerobotic systems is the communication delay between the operator and the remote site (environment), which (if not treated) can lead the system to instability. The chapter continues by presenting the evolution of modern control techniques for stabilization and compensation of the time delay consequences. These techniques include predictive control, adaptive control, sliding-mode robust control, neural learning control, fuzzy control, and neurofuzzy control. Four case studies are reviewed that show what kind of results can be obtained.

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