Analysis, Monitoring and Control of Speed Variations for Various Applications of SRM Motor with ESP32 and Thing speak

• Published in: E3S web of conferences Vol. 391; p. 1105
• Main Authors: Devi P, Sri Vidya, G, Akhila, K, Manasa, G, Revathi, S, Deekshitha
• Format: Journal Article
• Language: English
• Published: EDP Sciences 01.01.2023
• ISSN: 2267-1242; 2267-1242
• DOI: 10.1051/e3sconf/202339101105

Due to the growing demand for and growth in the electric vehicle (EV) market in a future civilization with advanced technology. Electric vehicles outperform traditional ones in terms of performance. Because they are environmentally friendly, EVs can help create a green and sustainable environment. They provide convenience with eco-friendliness that conventional cars cannot. Over the past 20 years, the switching reluctance motor (SRM) drive has been created and researched as a revolutionary electrical drive. The brushless switching reluctance motor drive has developed to the point that it may be used in the industrial sector as a reliable, durable, and cost- effective brushless drive with a wide speed range. In this paper, artificial intelligent controllers like Fuzzy Logic Controllers (FLC), and PID are discussed where SRM speed fluctuations are monitored and controlled by a controller using simulation analysis. Experimental analysis is carried out with prototype model. Here various speed variations are controlled and monitored using the ESP32 and Thing Speak cloud platform.