DocumentCode :
515231
Title :
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
Link To Document :
بازگشت