RBF-ARX embedded fault tolerant control system

Author

Youssef, Rafi ; Hui, Peng

Author_Institution

Sch. of Inf. Sci.&Eng., Central South Univ., Changsha, China

Volume

1

fYear

2010

fDate

9-10 Jan. 2010

Firstpage

539

Lastpage

543

Abstract

Many techniques to handle fault tolerant control system still to be not general to every complex system, those motivate us to suggest a technique that combine an RBF_ARX model to identify the system and its estimation parameters, with discrete time sliding mode control (DTSMC), in way that its control law must run through the exact state vector and defining the sliding surface with respect to the tracking error, this paper show that the design of sliding surface could be independently of control law, an illustrating example with co-simulation platform: Amesim & Matlab.

Keywords

autoregressive processes; control system synthesis; discrete time systems; embedded systems; fault tolerance; neurocontrollers; parameter estimation; radial basis function networks; variable structure systems; vectors; Amesim; Matlab; RBF-ARX embedded fault tolerant control system; co-simulation platform; discrete time sliding mode control; parameter estimation; sliding surface design; state vector; tracking error; Control system synthesis; Control systems; Error correction; Fault diagnosis; Fault location; Fault tolerant systems; Mathematical model; Parameter estimation; Sliding mode control; State estimation; Co-simulation; Discrete Time Sliding Mode; Fault Tolerant; RBF-ARX; State Space RBF-ARX;

fLanguage

English

Publisher

ieee

Conference_Titel

Logistics Systems and Intelligent Management, 2010 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-7331-1

Type

conf

DOI

10.1109/ICLSIM.2010.5461365

Filename

5461365