인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Water pumping systems (WPSs) are vital to many elements of human life, including drinking, agriculture, and industrial use. In many areas, photovoltaic system (PVS)-powered WPSs are regarded as the most efficient means of water supply. Multiple WPSs may be required to accommodate demand. To pump out the water from underground, electric motors—specifically, brushless DC (BLDC) motors—are needed. In the proposed research, two separate WPSs that will interface with the single PVS to supply water to different locations with the two BLDC motors each. In order to reduce maintenance costs, this study examines a PVS interfaced with BLDC motor-driven WPS that does not require batteries leads to reduced maintenance. Furthermore, the sensor-less speed control by sliding mode controller (SMC) is employed instead of sensors to maintain the motor speed. Partial shading is a major issue in PVS, affecting power generation. With partial shading conditions (PSC), the perturbed and observe (P&O) method might not be enough to produce a voltage signal that corresponds to the maximum power point (MPP). Therefore, the modified invasive weed optimization (MIWO) approach integrated with P&O approach to improve performance under PSC. Results of proposed MIWO with P&O approach has been compared with other MPP approaches i.e., grey wolf optimization (GWO) approach, particle swarm optimization (PSO) approach, and genetic algorithm (GA) approaches for MPP tracking under different PSCs. By combining SMC with the suggested MPP, converter has the ability to serve as an MPP tracker. The suggested inverter control uses long short-term memory (LSTM) with artificial neural network (ANN) controller to obtain more accurate responses with various operational circumstances. The suggested single PVS with MIWO with P&O-based MPP approach for WPSs interfaced by two BLDC motors has been tested and validated on the Hardware in Loop (HIL) platform, which driven by OPAL-RT technology.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
