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- 저자 : Mansour Karkoub (검색결과 3 건)
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Design and experimental analysis of new industrial vibration dampers
Mohamed Gharib,Mansour Karkoub 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.8
Vibration dampers are the first line of defense against shock and impacts sustained by mechanical and structural systems. Consequently, for decades, new impact damping technologies have been developed and applied in several engineering fields to attenuate undesired vibrations. Linear particle chain (LPC) impact dampers are the latest category of impact dampers being developed for the mitigation of unwanted vibrations in many systems. However, the challenges associated with prototyping such devices made their application in practical systems very limited. This paper proposes five innovative designs for the LPC impact dampers satisfying a wide range of industry needs in terms of efficiency, cost, and sustainability. The proposed designs are fabricated and tested under the same conditions to assess their efficiency in attenuating the vibration of a simple structure. Each design showed consistent behavior, but some designs outperformed others depending on the geometry, physical characteristics, and type of structure. The detailed design, experimental study, and time response comparisons are presented here to provide an initial study towards the development of practical sustainable LPC vibration dampers for real engineering applications.
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Tzu-Sung Wu,Mansour Karkoub,Chien-Ting Chen,Wen-Shyong Yu,Ming-Guo Her,Jui-Yiao Su 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.6
It is proposed here to use a robust tracking design based on adaptive fuzzy control technique to control a class of multi-input-multi-output (MIMO) nonlinear systems with time delayed uncertainty in which each uncertainty is assumed to be bounded by an unknown gain. This technique will overcome modeling inaccuracies, such as drag and friction losses, effect of time delayed uncertainty, as well as parameter uncertainties. The proposed control law is based on indirect adaptive fuzzy control. A fuzzy model is used to approximate the dynamics of the nonlinear MIMO system; then, two on-line estimation schemes are developed to overcome the nonlinearities and identify the gains of the delayed state uncertainties, simultaneously. The advantage of employing an adaptive fuzzy system is the use of linear analytical results instead of estimating nonlinear system functions with an online update law. The adaptive fuzzy scheme uses a Variable Structure (VS) scheme to resolve the system uncertainties, time delayed uncertainty and the external disturbances such that H∞ tracking performance is achieved. The control laws are derived based on a Lyapunov criterion and the Riccati-inequality such that all states of the system are uniformly ultimately bounded (UUB). Therefore, the effect can be reduced to any prescribed level to achieve H∞ tracking performance. A two-connected inverted pendulums system on carts and a two-degree-of-freedom mass-spring-damper system are used to validate the performance of the proposed fuzzy technique for the control of MIMO nonlinear systems.
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Hsiu-Ming Wu,Mansour Karkoub 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
In this study, the hierarchical backstepping control (HBC) is used for the trajectory-tracking of autonomous underwater vehicles (AUV) subject to uncertainties (e.g., current disturbances). The proposed HBC utilizes hierarchical structures of the backstepping control based on the kinematic and dynamic models such that both the virtual velocity control and trajectory-tracking of the AUV lead to asymptotic stability. The robustness of the proposed control technique is demonstrated via injection of uncertainties into the closed-loop model. The overall closed-loop stability of the proposed control scheme is guaranteed to have uniformly ultimately bounded (UUB) performance based on the Lyapunov stability criteria. Finally, the feasibility and effectiveness of the proposed scheme are evaluated through computer simulations.
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