Performance Study of BLDC Motor Used in Wireless Medical Applications

Wireless network technology has created a new era of living, starting from day-to-day house hold appliances to space applications, wireless communication has its place. Especially in medical electronics wireless communication, has taken the patient monitoring and clinical diagnosis to next level, capsule endoscopy, remote repository system and gastrointestinal tract exploration are some samples. In most of these applications the wireless communication is used to control the position of the Brushless DC (BLDC) motor placed in these devices to move it to acquire the required data or control the speed of the motor. This paper deals with the study of the performance such BLDC motor employed in medical analyzer. The BLDC motor transfer function model is obtained from the motor parameters and analyzed with various soft computing algorithms, to understand which algorithm gives effective performance metrics

IoT Based Supervisory and Diagnosis System for Solar Farm

Simple gadgets in the physical world are controlled over the internet by Internet of Things (IoT). To manage our gadgets remotely in integration with the already available internet infrastructure, chance for the natural linking of physical devices internationally in a personal computer, gains performance, perfection and cost benefits beyond the limited transcend manual involvement. This generation has more implementations such as microgrids, solar hamlets, solar metropolis, solar lamps. Renewable energy sources have grown quicker than at any moment in the old days of this era. The recommended device mentions an online visualization of the use of solar power as sustainable energy. Supervision is done by the Arduino Nano microcontroller with Sim800l. Smart Supervision shows the day-to-day consumption of sustainable energy via the Android app. This assists the user to analyze energy consumption and alerts the user in case of failure. The rating affects the consumption of renewable energy and energy problems

Symmetrical Fault Detection During Power Swing Based on dq-Wavelet Packet Entropy

Distance relay trips unnecessarily under power swing condition and it is considered as the significant circumstance for power system blackouts. To prevent the hazard of misoperation of distance relay, a scheme is essential so as to block circuit breaker tripping during power swing and to detect a fault during power swing condition. In Power system faults, unsymmetrical faults are unbalanced signals which have negative & zero sequence components, and these sequence components help to identify the faults during the power swing. Whereas, these components are absent during symmetrical fault since power swing and symmetrical fault are balanced phenomena. Symmetrical fault detection under power swing condition is a critical issue. Hence, Power system protection due to symmetrical fault during power swing is difficult. In this regard, a proposed scheme based on Direct axis - Quadrature axis transformation and Wavelet packet entropy to identify symmetrical faults occurring with power swing is proposed. The proposed technique is investigated for various power swing and fault conditions on two-machine system, distribution system with distributed generation and WSCC 9-bus system using Matlab software. This scheme provides better results irrespective of various fault locations, fault inception angle, and power swing frequencies. This scheme can also detect asymmetrical faults with high impedance during power swing