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RISS 인기검색어
- 검색키워드
- 저자 : Arunshankar, J. (검색결과 5 건)
- 무료
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- 유료
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Arunshankar, J.,Umapathy, M.,Bandhopadhyay, B. Techno-Press 2013 Smart Structures and Systems, An International Jou Vol.11 No.6
This paper evaluates the closed loop performance of the reaching law based discrete sliding mode controller with multisensor data fusion (MSDF) in real time, by controlling the first two vibrating modes of a piezo actuated structure. The vibration is measured using two homogeneous piezo sensors. The states estimated from sensors output are fused. Four fusion algorithms are considered, whose output is used to control the structural vibration. The controller is designed using a model identified through linear Recursive Least Square (RLS) method, based on ARX model. Improved vibration suppression is achieved with fused data as compared to single sensor. The experimental evaluation of the closed loop performance of sliding mode controller with data fusion applied to piezo actuated structure is the contribution in this work.
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Investigations on state estimation of smart structure systems
J. Arunshankar 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.25 No.1
This paper aims at enlightening the properties, computational and implementation issues related to Kalman filter based state estimation algorithms and sliding mode observers, by applying them for estimating the states of a smart structure system. The Kalman based estimators considered in this work are Kalman filter and information filter and, the sliding mode observers considered are Utkin observer and higher order sliding mode observer. A fourth order linear time invariant model of a piezo actuated beam is used in this work. This structure is embedded with four number of piezo patches, of which two act as sensors, one as disturbance actuator and the other as control actuator. The performance of the state estimation algorithms is evaluated through simulation, for the first two vibrating modes of the piezo actuated structure, when the structure is maintained at first mode and second mode resonance.
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Data fusion based improved HOSM observer for smart structure control
J. Arunshankar 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.2
The benefit of data fusion in improving the performance of Higher Order Sliding Mode (HOSM) observer is brought out in this paper. This improvement in the performance of HOSM observer, resulted in the improvement of active vibration control of a piezo actuated structure, when controlled by a Discrete Sliding Mode Controller (DSMC). The structure is embedded with two piezo sensors for measuring the first two vibrating modes. The fused output of sensors is applied to the HOSM observer for generating state estimates, these states generated are applied to the DSMC, designed for the fourth order linear time invariant model of the structure. In the simulation study, the structure is excited at the first and second mode resonance. It is found that better vibration suppression is obtained, when the states generated by the fused output of sensors is applied as controller input, than the vibration suppression obtained by applying the states generated by using individual sensor output. The closed loop performance of DSMC obtained with HOSM observer is compared with the closed loop performance obtained with the conventional observer. Results obtained shows that better vibration suppression is obtained when the states generated by HOSM observer is applied as controller input.
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J. Arunshankar,M. Umapathy,B. Bandhopadhyay 국제구조공학회 2013 Smart Structures and Systems, An International Jou Vol.11 No.6
This paper evaluates the closed loop performance of the reaching law based discrete sliding mode controller with multisensor data fusion (MSDF) in real time, by controlling the first two vibrating modes of a piezo actuated structure. The vibration is measured using two homogeneous piezo sensors. The states estimated from sensors output are fused. Four fusion algorithms are considered, whose output is used to control the structural vibration. The controller is designed using a model identified through linear Recursive Least Square (RLS) method, based on ARX model. Improved vibration suppression is achieved with fused data as compared to single sensor. The experimental evaluation of the closed loop performance of sliding mode controller with data fusion applied to piezo actuated structure is the contribution in this work.
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Investigation of urea selective catalytic reduction system with catalyst coated ceramic monolith
Devakaran Karaiellapalayam Palanisamy,Arunshankar Jayabalan 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.1
The selective catalytic reduction (SCR) and fast-SCR retrofit systems effectively control the nitrogen oxides (NOx) emission forthe diesel engine exhaust, using adblue solution and catalyst. The performance characteristic of retrofit system with efficientcatalyst and optimum flow channel design, without affecting the engine performance is still a challenging factor. Theexperimental work is done on a stationary diesel engine test bench coupled to the retrofit system in its exhaust, at steady-statecondition. A pair of ceramic monolith coated with cerium oxide (CeO2) and zeolite (ZSM-5) catalysts are used for preoxidationand SCR chambers respectively. The catalysts are characterized by XRD method and dip coated over the ceramicmonolith. The static mixer blade inside the middle retrofit pipe is used for homogenization and complete evaporation of adbluesolution. The influences of NOx conversion efficiency of retrofit systems are investigated with the ZSM-5 catalyst and latercombined with CeO2 catalyst. From the experimental results, it is observed that the fast-SCR retrofit system with static mixerblade has a better NOx conversion efficiency, with marginal decrease in engine brake thermal efficiency than the other retrofitsystems at maximum brake power. The increase in brake specific fuel consumption (BSFC) of the retrofit system causes theengine brake thermal efficiency to decrease marginally with increase in brake power.
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