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RISS 인기검색어
- 검색키워드
- 저자 : C. Ramadas (검색결과 2 건)
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Attenuation modelling of bulk waves generated by a point source in an isotropic medium
C. Ramadas 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.10
Attenuation of a bulk wave, generated by a point source, propagating in an isotropic medium, is due to the geometry and nature of the material involved. In numerical simulations, if the complete domain of propagation is modeled, then it captures the attenuation of a wave caused due to its geometry. To model the attenuation of the wave caused due to the nature of the material, it is required to know the material’s attenuation coefficient. Since experimental measurement on attenuation of a wave involves both the effects of geometry and material, a method based on curve fitting to estimate the material’s attenuation coefficient from effective attenuation coefficient, is proposed. Using the material’s attenuation coefficient in the framework of Rayleigh damping model, numerical modeling on attenuation of both the bulk waves - longitudinal and shear excited by a point source was carried out. It was shown that the proposed method captures the attenuation of bulk waves caused on account of geometry as well as nature of the material.
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PSO Based Fuzzy Logic Controller for Load Frequency Control in EV Charging Station
Vinitha J. C.,Ramadas Geetha,Rani P. Usha 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1
Electric vehicles are highly preferred in today's scenario to provide an environmentally friendly nature and preserve natural resources such as petroleum and diesel. Many studies on the technical and economic feasibility of electric vehicle charging stations have been conducted. The majority of the research does not focus on power fuctuations in the charging station caused by load variations. Only a few studies have looked into this issue and proposed a static frequency control method for power fuctuation control. However, they used a predefned solver feasp to fnd the best value for controlling the primary and secondary frequency controls in this method. Within its local optimal region, this technique fnds its solution. As a result, an optimization-based feasp for controlling power fuctuations in charging stations is proposed. The Enhanced Particle Swarm Optimization based Fuzzy Logic Controller (FLC) is suggested here for fnding the best solution to reduce power fuctuations using feasp. This optimized approach efectively reduces power fuctuations by determining the best value for controlling the primary and secondary charging frequency in electric vehicles. The system becomes stable in the shortest time with PSO-based FLC, according to simulation results. Furthermore, the magnitude of frequency oscillations, peak overshoot, and settling time are reduced. A comparison of the PSO-FLC method with the conventional method and the Linear–Quadratic Regulator method are compared to justify controller tuning.
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