NDLI: Adaptive decentralised dynamic surface control for non-linear large-scale systems against actuator failures

Content Provider	IET Digital Library
Author	Hashemi, Mahnaz Askari, Javad Ghaisari, Jafar
Abstract	This study presents an adaptive decentralised dynamic surface control (DSC) approach for a class of large-scale non-linear systems with unknown non-linear functions, unknown control gains, time-varying delays and in the presence of unknown actuator failures. The considered actuator failures are modelled to cover both loss of effectiveness and stuck at some time-varying values where the values, patterns and time occurrences of the failures are unknown. With the help of neural networks to approximate the unknown non-linear functions, a novel adaptive actuator failure compensation controller is developed based on the backstepping method and the DSC approach. The appropriate Lyapunov–Krasovskii functionals are introduced to design new adaptive laws to compensate the unknown actuator failures as well as uncertainties from unknown non-linearities and time delays. The proposed design method does not require a priori knowledge of the bounds of the unknown time delays and actuator failures. The boundedness of all the closed-loop signals is guaranteed and the tracking errors are proved to converge to a small neighbourhood of the origin. The proposed approach is employed for a double inverted pendulums benchmark and a chemical reactor system. The simulation results show the effectiveness of the proposed method.
Starting Page	44
Ending Page	57
Page Count	14
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 1, Jan (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0418
Journal	IET Control Theory & Applications
Publisher Date	2016-01-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Actuator Failure Compensation Controller Adaptive Control Adaptive Decentralised Dynamic Surface Control Adaptive Law Design Backstepping Method Chemical Reactor System Closed-loop Signal Control Nonlinearities Control System Analysis Control System Synthesis Decentralised Control Delay Distributed Parameter Control System Double Inverted Pendulums Benchmark DSC Approach Large-scale System Lyapunov Method Lyapunov-Krasovskii Functionals Multivariable Control System Neural Network Neurocontrol Neurocontrollers Nonlinear Control System Nonlinear Function Nonlinear Large-scale System Nonlinearities Self Adjusting Control System Stability in Control Theory Synthesis Method Time-varying Delay Tracking Error
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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