A SUPERVISED FAULT TOLERANT CONTROL ARCHITECTURE FOR NONLINEAR SYSTEMS

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" A SUPERVISED FAULT TOLERANT CONTROL ARCHITECTURE FOR NONLINEAR SYSTEMS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149817
Doc. No	:	ET21609
Main Entry	:	PEDRO GERBASE DE LIMA
Title Proper	:	A SUPERVISED FAULT TOLERANT CONTROL ARCHITECTURE FOR NONLINEAR SYSTEMS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This report summarizes the research conducted with the goal developing a FaultTolerant Control (FTC) architecture capable of increasing the availability of complexnonlinear systems potentially subject to a wide range of fault scenarios. Motivated by anencompassing literature survey in the areas of fault information extraction and FTC itself,the proposed hierarchical architecture is composed of three levels.The lowest level is composed of a baseline nonlinear reconfigurable controllerthat generates identification models and new control solutions for previously unknownfaults. To implement such a controller as well as an identifier for fault modeling, anadaptive critic design known as Globalized Dual Heuristic Programming (GDHP)manages a set of three recurrent neural networks. The use of GDHP grants thearchitecture the power to preserve system stability and as much performance as possiblein the presence of faults that may extend the order or add crucial nonlinearities to thedynamics of the system.Operating on a middle level, a novel supervisor increases the reconfigurationspeed of the GDHP controller for abrupt faults known at design time as well as faultsautonomously modeled and addressed online during a previoustested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44784.pdf
Title and statement of responsibility and	:	A SUPERVISED FAULT TOLERANT CONTROL ARCHITECTURE FOR NONLINEAR SYSTEMS [Thesis]