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    Damage-Mitigating Control of Mechanical Systems: Part I—Conceptual Development and Model Formulation

    Source: Journal of Dynamic Systems, Measurement, and Control:;1994:;volume( 116 ):;issue: 003::page 437
    Author:
    Asok Ray
    ,
    Carl F. Lorenzo
    ,
    Min-Kuang Wu
    ,
    Marc Carpino
    DOI: 10.1115/1.2899239
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A major goal in the control of complex mechanical systems such as advanced aircraft, spacecraft, and power plants is to achieve high performance with increased reliability, availability, component durability, and maintainability. The current state-of-the-art of control systems synthesis focuses on improving performance and diagnostic capabilities under constraints that often do not adequately represent the dynamic properties of the materials. The reason is that the traditional design is based upon the assumption of conventional materials with invariant characteristics. In view of high performance requirements and availability of improved materials, the lack of appropriate knowledge about the properties of these materials will lead to either less than achievable performance due to overly conservative design, or over-straining of the structure leading to unexpected failures and drastic reduction of the service life. The key idea of the research reported in this paper is that a significant improvement in service life can be achieved by a small reduction in the system dynamic performance. This requires augmentation of the current system-theoretic techniques for synthesis of decision and control laws with governing equations and inequality constraints that would model the properties of the materials for the purpose of damage representation and failure prognosis. The major challenge in this research is to characterize the damage generation process in a continuous-time setting, and then utilize this information for synthesizing algorithms of robust control, diagnostics, and risk assessment in complex mechanical systems. Damage mitigation for control of mechanical systems is reported in the two-part paper. The concept of damage mitigation is introduced and a continuous-time model of fatigue damage dynamics is formulated in this paper which is the first part. The second part which is a companion paper presents the synthesis of the open-loop control policy and the results of simulation experiments for transient operations of a reusable rocket engine.
    keyword(s): Dynamics (Mechanics) , Control systems , Reliability , System dynamics , Service life (Equipment) , Maintainability , Algorithms , Design , Durability , Power stations , Robust control , Aircraft , Equations , Failure , Fatigue damage , Risk assessment , Rocket engines , Simulation results AND Space vehicles ,
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      Damage-Mitigating Control of Mechanical Systems: Part I—Conceptual Development and Model Formulation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/113346
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorAsok Ray
    contributor authorCarl F. Lorenzo
    contributor authorMin-Kuang Wu
    contributor authorMarc Carpino
    date accessioned2017-05-08T23:43:45Z
    date available2017-05-08T23:43:45Z
    date copyrightSeptember, 1994
    date issued1994
    identifier issn0022-0434
    identifier otherJDSMAA-26207#437_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/113346
    description abstractA major goal in the control of complex mechanical systems such as advanced aircraft, spacecraft, and power plants is to achieve high performance with increased reliability, availability, component durability, and maintainability. The current state-of-the-art of control systems synthesis focuses on improving performance and diagnostic capabilities under constraints that often do not adequately represent the dynamic properties of the materials. The reason is that the traditional design is based upon the assumption of conventional materials with invariant characteristics. In view of high performance requirements and availability of improved materials, the lack of appropriate knowledge about the properties of these materials will lead to either less than achievable performance due to overly conservative design, or over-straining of the structure leading to unexpected failures and drastic reduction of the service life. The key idea of the research reported in this paper is that a significant improvement in service life can be achieved by a small reduction in the system dynamic performance. This requires augmentation of the current system-theoretic techniques for synthesis of decision and control laws with governing equations and inequality constraints that would model the properties of the materials for the purpose of damage representation and failure prognosis. The major challenge in this research is to characterize the damage generation process in a continuous-time setting, and then utilize this information for synthesizing algorithms of robust control, diagnostics, and risk assessment in complex mechanical systems. Damage mitigation for control of mechanical systems is reported in the two-part paper. The concept of damage mitigation is introduced and a continuous-time model of fatigue damage dynamics is formulated in this paper which is the first part. The second part which is a companion paper presents the synthesis of the open-loop control policy and the results of simulation experiments for transient operations of a reusable rocket engine.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDamage-Mitigating Control of Mechanical Systems: Part I—Conceptual Development and Model Formulation
    typeJournal Paper
    journal volume116
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.2899239
    journal fristpage437
    journal lastpage447
    identifier eissn1528-9028
    keywordsDynamics (Mechanics)
    keywordsControl systems
    keywordsReliability
    keywordsSystem dynamics
    keywordsService life (Equipment)
    keywordsMaintainability
    keywordsAlgorithms
    keywordsDesign
    keywordsDurability
    keywordsPower stations
    keywordsRobust control
    keywordsAircraft
    keywordsEquations
    keywordsFailure
    keywordsFatigue damage
    keywordsRisk assessment
    keywordsRocket engines
    keywordsSimulation results AND Space vehicles
    treeJournal of Dynamic Systems, Measurement, and Control:;1994:;volume( 116 ):;issue: 003
    contenttypeFulltext
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