Neural Networks-Based Active Fault-Tolerant Control for a Class of Switched Nonlinear Systems With Its Application to RCL Circuit

2020 ◽  
Vol 50 (11) ◽  
pp. 4270-4282
Author(s):  
Li Tang ◽  
Dan Ma ◽  
Jun Zhao
Keyword(s):  
Neural Networks ◽  
Nonlinear Systems ◽  
Active Fault ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Switched Nonlinear Systems ◽  
Active Fault Tolerant Control

scholarly journals Active fault tolerant control of nonlinear systems: The cart-pole example

2011 ◽  
Vol 21 (3) ◽  
pp. 441-445 ◽  
Author(s):  
Marcello Bonfè ◽  
Paolo Castaldi ◽  
Nicola Mimmo ◽  
Silvio Simani
Keyword(s):  
Nonlinear Systems ◽  
Measurement Errors ◽  
Active Fault ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Classical Model ◽  
Design Procedure ◽  
Fault Tolerant Control ◽  
Fault Detection And Diagnosis ◽  
Active Fault Tolerant Control

Active fault tolerant control of nonlinear systems: The cart-pole exampleThis paper describes the design of fault diagnosis and active fault tolerant control schemes that can be developed for nonlinear systems. The methodology is based on a fault detection and diagnosis procedure relying on adaptive filters designed via the nonlinear geometric approach, which allows obtaining the disturbance de-coupling property. The controller reconfiguration exploits directly the on-line estimate of the fault signal. The classical model of an inverted pendulum on a cart is considered as an application example, in order to highlight the complete design procedure, including the mathematical aspects of the nonlinear disturbance de-coupling method based on the nonlinear differential geometry, as well as the feasibility and efficiency of the proposed approach. Extensive simulations of the benchmark process and Monte Carlo analysis are practical tools for assessing experimentally the robustness and stability properties of the developed fault tolerant control scheme, in the presence of modelling and measurement errors. The fault tolerant control method is also compared with a different approach relying on sliding mode control, in order to evaluate benefits and drawbacks of both techniques. This comparison highlights that the proposed design methodology can constitute a reliable and robust approach for application to real nonlinear processes.

Sign in / Sign up

Export Citation Format

Share Document