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- 저자 : Sourav Bose (검색결과 2 건)
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Internal Model Control of DFIG Based Micro Wind Energy Conversion System
Sourav Bose,S.P.Singh 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Amongst the alternative renewable energy sources, the micro wind energy conversion system promises of reliability, cost effectiveness in rural areas where grid power is unavailable for electrification calling for sustainable development. Numerous studies on the control schemes are being conducted to generate electrical energy from the available wind energy using doubly fed induction generator (DFIG). In this paper, the internal model control (IMC) method is used to control rotor currents, speed and stator reactive power of DFIG based wind energy conversion system(WECS). The result is stator flux reference frame proportional integral (PI) or PI-type controllers, and the parameters of the controllers are directly expressed in certain parameters of the DFIG and the desired bandwidth of the close loop. This Process eliminates the trial and error steps to tune the PI controllers during vector control of DFIG. A 1 hp wound type induction generator coupled with 1 kW dc motor is used for the experiment. Performance of the propose single VSC based DFIG has been analyzed under different conditions.
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Jaideep Sur,Sourav Bose,Fatima Khan,Deeplaxmi Dewangan,Ekta Sawriya,Ayesha Roul 대한영상치의학회 2020 Imaging Science in Dentistry Vol.50 No.3
Purpose: This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among dental specialists in central India. Materials and Methods: An online survey was conducted consisting of 15 closed-ended questions using Google Forms and circulated among dental professionals in central India. The survey consisted of questions regarding participants’ recognition of and attitudes toward AI, their opinions on directions of AI development, and their perceptions regarding the future of AI in oral radiology. Results: Of the 250 participating dentists, 68% were already familiar with the concept of AI, 69% agreed that they expect to use AI for making dental diagnoses, 51% agreed that the major function of AI would be the interpretation of complicated radiographic scans, and 63% agreed that AI would have a future in India. Conclusion: This study concluded that dental specialists were well aware of the concept of AI, that AI programs could be used as an adjunctive tool by dentists to increasing their diagnostic precision when interpreting radiographs, and that AI has a promising role in radiological diagnosis.
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