Improved Dynamic Response of DC to DC Converter Using Hybrid PSO Tuned Fuzzy Sliding Mode Controller

DC/DC switching converters are widely used in numerous appliances in modern existence. In this paper, the dynamic and transient response of phase shift series resonant DC/DC converter are improved using hybrid particle swarm optimization tuned fuzzy sliding mode controller under starting and load step change conditions. The aim of the control is to regulate the output voltage beneath the load change. The model of the hybrid particle swarm optimization tuned fuzzy sliding mode controller is implemented using Sim Power Systems toolbox of MATLAB SIMULINK. Performance of the proposed dynamic novel control under step load change condition is investigated.

Joint Energy Predication and Gathering Data in Wireless Rechargeable Sensor Network

Wireless Sensor Network(WSNs)is an infrastructure-less wireless net-work deployed in an increasing number of wireless sensors in an ad-hoc manner.As the sensor nodes could be powered using batteries,the development of WSN energy constraints is considered to be a key issue.In wireless sensor networks(WSNs),wireless mobile chargers(MCs)conquer such issues mainly,energy shortages.The proposed work is to produce an energy-efficient recharge method for Wireless Rechargeable Sensor Network(WRSN),which results in a longer lifespan of the network by reducing charging delay and maintaining the residual energy of the sensor.In this algorithm,each node gets sorted using the K-means technique,in which the data gets distributed into various clusters.The mobile charges execute a Short Hamiltonian cycle opposite direction to reach each cluster’s anchor point.The position of the anchor points is calculated based on the energy distribution using the base station.In this case,the network will act as a spare MC,so that one of the two MCs will run out of energy before reaching the BS.After the current tours of the two MCs terminate,regression analysis for energy prediction initiates,enabling the updating of anchor points in the upcoming round.Based on thefindings of the regression-based energy prediction model,the recommended algorithm could effectively refill network energy.

An Improved Hybrid Space Vector PWM Technique for IM Drives

In this paper, an improved hybrid space vector pulse width modulation (HSVPWM) technique is proposed for IM (induction motor) drives. The basic principle involved in the proposed random pulse width modulation (RPWM) cuddled SVPWM is amalgamating the pre-calculated switching timings for various sections of hexagonal space vector boundary and the random selection of carrier between two triangular signals, in order to disband acoustic switching noise spectrum with improved fundamental component. The arbitrary selection between triangular carriers, which is decided by digital signal states (Low or High) of the linear feedback shift register (LFSR) based pseudo random binary sequence (PRBS) generator. The SVPWM offers a control degree of freedom in terms of positioning of vectors inside every sampling interval and hence it has six possible variants of the voltage vectors arrangements in each sector. The developed HSVPWM is thoroughly analyzed in using the MATLAB? based simulation for all SVPWM variants. From the simulation and experimental results viz. harmonic spectrum, harmonic spread factor (HSF), total harmonic distortion (THD) etc., and the superiority of the proposed scheme such as better utilization of DC bus and the randomization of the harmonic power are evidenced. For the practical implementation, Xilinx XC3S500E FPGA device has been used.

Morphological, Physical, Mechanical, Chemical and Thermal Characterization of Sustainable Indian Areca Fruit Husk Fibers （Areca Catechu L.） as Potential Alternate for Hazardous Synthetic Fibers

Natural fibers can play a major role in composite industry due to its renewable, biodegradable, and eco-friendly properties. Areca Fruit Husk （AFH） is rich in fiber, but is wasted in large quantity from tobacco industries. Comprehensive characterization of AFH fiber is done to examine its morphological, physical, mechanical, chemical and thermal properties. High cellulose content of the fiber （57.35 wt%） provides better tensile strength （231.66 MPa） whereas the porous surface morphology （40.8 %） ensures better bonding with the matrix. Moreover, the low density of the fiber （0.78 g.cm^-3） makes it an attractive alternative for hazardous synthetic fibers. The semi-crystalline nature and large crystalline size of the fiber reduce the water absorption char- acteristics. The thermo gravimetric analysis confirms its stability up to 240℃, which is higher than the polymerization tem- perature. The results confirm the potential of AFH fibers as a reinforcement in bio-reinforced polymer composites for automo- tive and structural applications.