• Journal of the Earthquake Engineering Society of Korea
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• v.3 no.3
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• pp.63-74
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• 1999

A sliding mode fuzzy control (SMFC) algorithm is presented for vibration of large structures. Rule-base of the fuzzy inference engine is constructed based on the sliding mode control, which is one of the nonlinear control algorithms. Fuzziness of the controller makes the control system robust against the uncertainties in the system parameters and the input excitation. Non-linearity of the control rule makes the controller more effective than linear controllers. Design procedure based on the present fuzzy control is more convenient than those of the conventional algorithms based on complex mathematical analysis, such as linear quadratic regulator and sliding mode control(SMC). Robustness of presented controller is illustrated by examining the loop transfer function. For verification of the present algorithm, a numerical study is carried out on the benchmark problem initiated by the ASCE Committee on Structural Control. To achieve a high level of realism, various aspects are considered such as actuator-structure interaction, modeling error, sensor noise, actuator time delay, precision of the A/D and D/A converters, magnitude of control force, and order of control model. Performance of the SMFC is examined in comparison with those of other control algorithms such as $H_{mixed 2/{\infty}}$ optimal polynomial control, neural networks control, and SMC, which were reported by other researchers. The results indicate that the present SMFC is an efficient and attractive control method, since the vibration responses of the structure can be reduced very effectively and the design procedure is simple and convenient.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.39 no.6
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• pp.505-511
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• 2015

Solid oxide fuel cell operate at high temperature ($800{\sim}1000^{\circ}C$). High temperature have an advantage of system efficiency, but a weak durability. In this study, linear state space controller is designed to handle the temperature of solid oxide fuel cell system for proper thermal management. System model is developed under simulink environment with Thermolib$^{(R)}$. Since the thermally optimal system integration improves efficiency, very complicated thermal integration approach is selected for system integration. It shows that temperature response of fuel cell stack and catalytic burner are operated at severe non-linearity. To control non-linear temperature response of SOFC system, gain scheduled linear quadratic regulator is designed. Results shows that the temperature response of stack and catalytic burner follows the command over whole ranges of operations.

• Journal of Bio-Environment Control
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• v.19 no.4
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• pp.397-402
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• 2010

This study was conducted to find out the appropriate type and concentration of plant growth regulator for mass production of wild type Hydrangea serrata. And the optimal soaking time for rooting of the cuttings was also investigated. When the cuttings of Hydrangea serrata were cultivated for 6 weeks after immersing in $50mg{\cdot}L^{-1}$ of IBA for 3 hrs, the number of roots was 90.6. However the number was significantly decreased when the cuttings were treated with $10mg{\cdot}L^{-1}$ of IBA. The rooting ratio was 100% when the cuttings was immersed in 1,000, 2000 and $3000mg{\cdot}L^{-1}$ of NAA solution for 5, 3 and 10 sec., respectively. Despite the perfect rooting, the number of roots was decreased. The number of roots was 105.5 when the cuttings were treated in $2,000\;mg{\cdot}L^{-1}$ of NAA for 5 sec., which was the highest number in NAA treatment. Overall, the rooting ratio and growth was better when the cutting was treated with low concentration of IBA ($50{\sim}250\;mg{\cdot}L^{-1}$) than the treatment of NAA. And the most appropriate concentration and time fot the treatment of IBA was $50mg{\cdot}L^{-1}$ and 3 hrs, respectively.