No abstract

In recent years, electric vehicles are the large-scale spread of the transportation field has led to the emergence of Brushless DC motors (BLDC), which are mostly utilized in propulsion systems. However, the sector information (rotor position) required by BLDC motors is used for power electronic converters based on BLDC drives to perform external commutation.The BLDC motor is a synchronous motor driven by unstable parallel connection because it does not slip due to the permanent magnet synchronous motor (PMSM). A different control method is to improve by using the BLDC motor the performance, to drive this BLDC motor have been in this system. In this proposed Enhanced Fuzzy Nonlinear Power Control (EFNPC) system is a simple and effective way for BLDC motor current control technology, a proposed control strategy is intended to stabilize the wheel power supply through the control of BLDC motor drive. The proposed Enhanced Fuzzy Nonlinear Power Control (EFNPC) method is called using a hall-based sensor. It is modified for BLDC motor drive based on a reference positive current to produce positive current control. The modulation method is implemented. To assess the theory, the proposed procedure is first actualized in an open circle structure. It is given to be equivalent; the performance is comparable to the traditional, ensuring a simplified development. Finally, the Enhanced Fuzzy Nonlinear Power Control (EFNPC) for controlling BLDC motor operation was verified by simulation using the MATLAB2017b software.

Water is the primary resource for all living beings globally and its efficient harnessing is key to achieve a rational and fair distribution. In this work, a smart drinking water management strategy for water supply based on sensors, comparator circuits, PLC (Programmable logic control) and fuzzy logic is suggested to control the water supply in order to reduce water usage and achieve an equative sharing. In the previous methods in the field, the conventional algorithm technique based on the water distribution and management system cannot easily interface with sensor devices in the water distribution method. Therefore, an improved fuzzy rule set distributed algorithm based smart water management system using programmable logic control is proposed in this work. More specifically, the suggested technique integrates a flow meter, a solenoid valve and IoT (Internet of thing) based digital code algorithm. In order to analyzed its validity, the proposed smart water management system is simulated and also, a hardware prototype is developed. Results show that this system can manage the monthly usage of water levels with 90% efficiency compared to the existing method. Also, the system integrates a pH sensor to test the water quality and distribution and support clean water-oriented processes.

No abstract

In this paper, an area-efficient low power fast fourier transform (FFT) processor is proposed for multi input multi output-orthogonal frequency division multiplexing (MIMO-OFDM) in wireless communication system. It consists of a modified architecture of radix-2 algorithm which is described as modified radix-2 multipath delay commutation (MOD-R2MDC). The OFDM receiver with modified R2MDC (MOD-R2MDC) FFT was designed by Hardware Description Language (HDL) coding The Xilinx ISE Design Suite 10.1 is used as a synthesis tool for getting the power and area. The Model-Sim 6.3c is used for simulation. Also the existing OFDM system has been tested with these FFT algorithms and their performances were analyzed with respect to occupancy area in FPGA and power consumption. A low-power and area efficient architecture enables the real-time operations of MIMO OFDM system.