Peak Power Optimization Research Articles

Design of Spontaneous Emission Spectra Amplified by S-Band Fiber and Optimization of Output Spectral Peak Power

The thulium-doped fiber amplifier stands out as the most promising amplifier within the S-band spectrum. This paper delves into the exploration of a 1.47um Tm^(3+)-doped fluorinated fiber amplifier as the primary subject of research. This paper approach begins by establishing the rate equation and power propagation equation for the thulium ion level structure, followed by rigorous mathematical analysis and solutions. Subsequently, we employ MATLAB programming to perform comprehensive calculations, scrutinizing the amplified spontaneous emission spectra's variation concerning Thulium-Doped Fiber Amplifier (TDFA) length and pump power. In a quest for optimal performance, this paper turn to the simulated annealing algorithm to fine-tune the doping concentration and fiber length, ultimately achieving the most favorable output spectral gain. Through systematic experimentation and parameter manipulation, we've unveiled a substantial breakthrough, with our research yielding an impressive optimal gain of 31.71 dB. The ramifications of this work extend far beyond the confines of this study. It sets a solid foundation for advancements in fiber fabrication and paves the way for the realization of fiber lasers, promising significant contributions to the expansion of S-band fiber communication systems. Our findings hold great promise and are poised to drive innovation in this critical area of telecommunications.

Design of U-Band Fiber Amplifying Spontaneous Emission Spectra and Optimization of Output Spectral Peak Power

Design of U-Band Fiber Amplifying Spontaneous Emission Spectra and Optimization of Output Spectral Peak Power

Design and output spectral peak power optimization of E-band fiber-amplified spontaneous emission spectra

Design and output spectral peak power optimization of E-band fiber-amplified spontaneous emission spectra

Energy and Peak Power Optimization of Time-Bounded Robot Trajectories

This paper, as an outcome of the EU project AREUS, heralds an optimization procedure that reduces up to 30% of energy consumption and up to 60% in peak power for the trajectories that have been tested on real industrial robots. We have evaluated a number of cost functions and tested our algorithm for a variety of scenarios such as varying cycle times, payloads, and single/multirobot cases in both ac- and dc-operated robot cells. The significance of our work is not only in the impressive savings, simplicity of implementation, and preserving path and cycle time, but also in the variety of test scenarios that include different kinds of KUKA robots. We have carried out the optimization and experiments in as realistic conditions as possible.

Peak Power Optimization of Solid Oxide Fuel Cells with Particle Size and Porosity Grading

Solid oxide fuel cells (SOFCs) are blessed with high efficiency, the capability of using a variety of hydrocarbon fuels, and high impurity tolerance. Functionally graded electrodes have previously been investigated to improve SOFCs performance with controlled microstructure. However, little investigation has been focused on the cell-level optimization of power output for nonlinearly graded electrode microstructures. In this work, a multiscale electrode polarization model of SOFCs has been expanded and developed to a cell-level model. The cell-level SOFCs model has been utilized to disclose the complex relationship among the transport phenomena, which include the transports of electron, ion and gas molecules through the electrode and the electrochemical reaction at the triple phase boundaries. The work advances the understanding of the cell performance with graded microstructures. The performance of functionally graded electrodes has been analyzed to understand the effects of tailored electrode microstructures on cell power output.

Multiple Word Length based low power digital base band receiver

In recent years power consumption in CMOS VLSI circuits has become a major design constraint. This is in particular important for mobile wireless communication systems, due to the limited life time of the batteries to power wireless communication equipment. The circuit designers came with suitable low power strategies to achieve low power design. These circuit level techniques are readily available in the form of standard cells to the Register Transfer Level (RTL) designer. Currently designers are exploring the algorithm level and architecture level techniques towards arriving at low power communication Integrated Circuits (ICs). The Word Length Optimization (WLO) is an algorithmic approach with promising power saving levels, suitable for communication applications. The work presented here demonstrates power optimized RTL design for wireless base band receiver using Quadrature Phase Shift Keying (QPSK) modulation scheme. The novel method of arriving at suitable word lengths based on system level parameters at each signal stage is demonstrated. The Symbol Error Rates (SER) for given energy per symbol are analyzed. The Xilinx Zynq-7 Family FPGA is used for area, power and performance analysis. The peak power optimization of 40% is reported for Es/No = 8 dB, in comparison to the normal design.

Peak Power Optimization of Optical Pulses Using Low-Doped Gain-Medium in Femtosecond Fiber Laser

We have investigated both theoretically and experimentally a method to increase the peak power in femto-second fiber laser by using a low-doped long-length gain medium. The accumulated nonlinear phase shift as well as its threshold value for single pulse operation was studied and used to explain the robustness of such cavity against multipulsing and optical wave breaking.

Power monitoring system for university buildings: Architecture and advanced analysis tools

Nowadays, our dependence on electricity is strong because power consumption has increased considerably in the last years. For that reason, an efficient use of electricity is necessary, especially in public buildings. In order to manage the power consumption, it is vital to measure and monitor the electrical systems. Monitoring can provide advanced visualization and data analysis tools which can help us to achieve energy savings and peak power optimization. In this work, we present a power monitoring system developed for the campus buildings at the University of León (ULE) in Spain. This system is based on a three-layer structure. In the server layer, data are acquired from meters installed in the campus buildings. In the middle layer, data are stored and processed. In the client layer, monitoring interfaces, accessible remotely through the Internet, provide both traditional and advanced monitoring tools, based on statistical and data mining techniques. These techniques exploit data in order to find electrical patterns, detect faults and deviations, predict future power consumption, optimize peak power, etc. The data acquired by the monitoring system during 2010 are analyzed. The results from the visualization and data analysis tools, implemented in the monitoring system, are presented. The application of the proposed tools led to economic savings of around 15% and deeper knowledge about the electrical system.

Pulse width and peak power optimization in a mode‐locked fiber laser with a semiconductor saturable absorber mirror

AbstractIn this comprehensive study, we report on the pulse characteristics of a mode‐locked fiber laser comprised of an ytterbium (Yb)‐doped fiber and a semiconductor saturable absorber mirror (SESAM). We show experimentally that the pulse width and peak power of a mode‐locked fiber laser were continuously changed by moving the axial position of the SESAM in the laser cavity. The principle of this pulse width adjustment is explained and demonstrated with a simple numerical simulation. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:2256–2261, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27077

Optimization of peak power of doubly Q-switched lasers with both an acousto-optic modulator and a Cr^4+-doped saturable absorber

A doubly Q-switched laser can obtain a shorter pulse with a stable repetition rate and high pulse peak power, which has been experimentally proved. By taking into account the Gaussian spatial distributions of the intracavity photon density and the initial population-inversion density as well as the influence of the acousto-optic (AO) Q switch, we introduce the coupled rate equations for a doubly Q-switched laser with both an AO modulator and a Cr(4+)-doped saturable absorber. These coupled rate equations are solved numerically. The key parameters of an optimally coupled doubly Q-switched laser are determined based on maximizing the peak power, which include the optimal normalized coupling parameter, the optimal normalized saturable absorber parameters, and the normalized parameters of the AO Q switch. The optimal normalized peak power, the corresponding normalized energy, and the normalized pulse width are also given, and a group of general curves are generated for the first time to our knowledge. The curves can give us a good understanding of the dependence of the optimal key parameters on the parameters of the gain medium, the saturable absorber, the AO Q switch, the resonator, and the spatial distributions of the intracavity photon density. The optimal calculations for a diode-pumped Nd(3+):YVO(4) laser with both an AO modulator and a Cr(4+):YAG saturable absorber are presented to demonstrate the use of the curves and the related formulas.

Optimization of peak power of passively Q-switched lasers by taking into account intracavity laser spatial distribution

The intracavity photon density and the initial population-inversion density in the diode-pumped passively Q-switched lasers are assumed to be Gaussian spatial distributions. The space-dependent rate equations are solved numerically. The key parameters of an optimally coupled passively Q-switched laser under Gaussian approximation are determined, and a group of general curves are generated for the first time. These key parameters include the optimal normalized coupling parameter and the optimal normalized saturable absorber parameter that maximize the peak power, and the corresponding normalized energy, normalized peak power, and normalized pulse width. The curves clearly show the dependence of the optimal key parameters on the parameters of the gain medium, the saturable absorber, and the resonator. In addition, the importance including the space variation is also shown. The optimal calculations for a diode-pumped passively Nd : YVO 4 laser are presented to demonstrate the use of the curves and the related formulas.

Peak power optimization based on nonlinear prediction and fuzzy logic

A new peak power optimization algorithm of the electric energy consumption with nonlinear prediction is presented in this paper. The system parameters for optimization are adjusted using fuzzy logic.