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Filtering and fault tolerant control...
~
Mohammadpour Velni, Javad.
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Filtering and fault tolerant control of parameter-varying time-delay systems and applications.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Filtering and fault tolerant control of parameter-varying time-delay systems and applications./
作者:
Mohammadpour Velni, Javad.
面頁冊數:
152 p.
附註:
Source: Dissertation Abstracts International, Volume: 69-01, Section: B, page: 0630.
Contained By:
Dissertation Abstracts International69-01B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3300020
ISBN:
9780549443476
Filtering and fault tolerant control of parameter-varying time-delay systems and applications.
Mohammadpour Velni, Javad.
Filtering and fault tolerant control of parameter-varying time-delay systems and applications.
- 152 p.
Source: Dissertation Abstracts International, Volume: 69-01, Section: B, page: 0630.
Thesis (Ph.D.)--University of Houston, 2007.
This dissertation addresses some open problems in control systems theory. The problems considered include the dynamic controller and filter design for Linear Parameter Varying (LPV) time-delay systems, the reconfigurable control design in Fault Tolerant Control Systems (FTCS) and fault diagnostics in Diesel engines.
ISBN: 9780549443476Subjects--Topical Terms:
1018395
Engineering, Aerospace.
Filtering and fault tolerant control of parameter-varying time-delay systems and applications.
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This dissertation addresses some open problems in control systems theory. The problems considered include the dynamic controller and filter design for Linear Parameter Varying (LPV) time-delay systems, the reconfigurable control design in Fault Tolerant Control Systems (FTCS) and fault diagnostics in Diesel engines.
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In the first part of this thesis, we investigate the problem of designing parameter-dependent filters for output estimation of LPV time-delay systems. The filters are designed such that the filtering error system guarantees an optimum level of H2 or Hinfinity performance. A state-delay term is included in the filter dynamics to reduce the design conservatism and improve the performance. The Linear Matrix Inequality (LMI)-based synthesis conditions developed for the filter design purposes are categorized into the rate-dependent and delay-dependent conditions which could handle the time-varying state-delay and bounded small delay cases, respectively. Among these two, the latter one is shown to provide a significant reduction in the conservativeness in the filter design.
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The second part of the thesis examines the analysis and synthesis of Fault Tolerant Control (FTC) systems in an LPV framework. For reconfigurable control design purposes, the information from Fault Detection and Isolation (FDI) module, that provides an estimate of the fault parameters, is utilized to schedule the controller matrices. We will also present a formulation that incorporates the factor of detection delay in the FTC supervisory system. It is shown that including this delay in the synthesis conditions leads to improved performance and reduced control effort. For analysis of the FTC systems including time-delay, where the fault parameters might be identified inaccurately, we first introduce the notion of brief instability for LPV time-delay systems. In these systems it is possible that the output trajectory converges to zero even though there are parameter trajectories for which the system is locally unstable for a short period of time. Using the analysis conditions for LPV time-delay systems including brief instability, we develop analysis conditions that lead to an explicit formulae that indicates how the FTC closed-loop system performance is degraded under the false identification of the fault parameters. The results are validated on a model of a Highly Maneuverable Aircraft Technology (HiMAT) vehicle.
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The last part of this thesis presents a model-based diagnostic algorithm for the detection and estimation of the internal leak and restriction in the Exhaust Gas Recirculation (EGR) system of Diesel engines. The initial step in the proposed method is the identification of two parameters in a static relationship. As soon as a fault occurs, the identification algorithm provides a change in the coefficients of the static equation. The results of the experimental validation of the diagnostic algorithm are illustrated on data collected from a test cell and using different trucks during the transient cycle. A statistical analysis is also performed to determine the thresholds that capture the normal variability of the healthy system.
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