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@article{185630, author = {Tanushree Chandekar and Yash Wasankar and Hitesh chourewar and Khushbu Bhaisare and Prof. Kalpesh Kanphade}, title = {Analyzing the BLDC Motor for Automatic Gate}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {12}, number = {5}, pages = {2203-2211}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=185630}, abstract = {This comprehensive review examines the current state of brushless DC (BLDC) motor technology in automatic gate systems, analyzing over 250 research publications, patents, and industry reports spanning the period 2010-2024. The review systematically evaluates BLDC motor applications, performance characteristics, control strategies, and integration challenges specific to gate automation systems. Through detailed analysis of published research, this study identifies key technological trends, performance benchmarks, and implementation barriers that influence BLDC motor adoption in gate automation applications. The review reveals that BLDC motor implementation in gate systems has increased by 420% over the past decade, driven primarily by superior energy efficiency (85-92% vs. 55-65% for conventional systems), enhanced reliability (>15,000-hour operational life), and precise control capabilities. Current research focuses on sensorless control techniques, advanced safety integration, IoT connectivity, and cost reduction strategies. The analysis identifies three primary BLDC motor topologies employed in gate applications: surface-mounted permanent magnet (SPM), interior permanent magnet (IPM), and hybrid configurations, with IPM designs showing 15-20% superior torque density but 25-35% higher manufacturing costs. Key challenges include initial cost barriers (40-60% premium over conventional systems), technical complexity requiring specialized expertise, and electromagnetic interference considerations. Emerging trends include artificial intelligence integration for predictive maintenance, wireless power transfer systems, machine learning-based control optimization, and sustainable material development for environmental compliance. The review concludes with identification of critical research gaps and recommendations for future development priorities to accelerate BLDC motor adoption in gate automation systems.}, keywords = {BLDC motor review, automatic gate systems, motor technology trends, gate automation, brushless motor applications, performance analysis, control strategies, market analysis}, month = {October}, }
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