Tapia-Olvera R.,National Autonomous University of Mexico |
Beltran-Carbajal F.,Metropolitan Autonomous University |
Aguilar-Mejia O.,Tulancingo Polytechnic University |
Valderrabano-Gonzalez A.,University of Guadalajara
Energies | Year: 2016
A B-spline neural networks-based adaptive control technique for angular speed reference trajectory tracking tasks with highly efficient performance for direct current shunt motors is proposed. A methodology for adaptive control and its proper training procedure are introduced. This algorithm sets the control signal without using a detailed mathematical model nor exact values of the parameters of the nonlinear dynamic system. The proposed robust adaptive tracking control scheme only requires measurements of the velocity output signal. Thus, real-time measurements or estimations of acceleration, current and disturbance signals are avoided. Experimental results confirm the efficient and robust performance of the proposed control approach for highly demanding motor operation conditions exposed to variable-speed reference trajectories and completely unknown load torque. Hence, laboratory experimental tests on a direct current shunt motor prove the viability of the proposed adaptive output feedback trajectory tracking control approach. © 2016 by the authors; licensee MDPI.
Mendez-Aguilar E.M.,National Institute of Astrophysics, Optics and Electronics |
Berriel-Valdos L.R.,National Institute of Astrophysics, Optics and Electronics |
Delgado-Atencio J.A.,Tulancingo Polytechnic University
Biomedical Optics Express | Year: 2017
A modified computational model of the human eye was used to obtain and compare different probability density functions, radial profiles of light pattern distributions, and images of the point spread function formed in the human retina under the presence of different kinds of particles inside crystalline lenses suffering from cataracts. Specifically, this work uses simple particles without shells and multilamellar bodies (MLBs) with shells. The emergence of such particles alters the formation of images on the retina. Moreover, the MLBs change over time, which affects properties such as the refractive index of their shell. Hence, this work not only simulates the presence of such particles but also evaluates the incidence of particle parameters such as particle diameter, particle thickness, and shell refractive index, which are set based on reported experimental values. In addition, two wavelengths (400 nm and 700 nm) are used for light passing through the different layers of the computational model. The effects of these parameters on light scattering are analyzed using the simulation results. Further, in these results, the effects of light scattering on image formation can be seen when single particles, early-stage MLBs, or mature MLBs are incorporated in the model. Finally, it is found that particle diameter has the greatest impact on image formation. © 2017 Optical Society of America.
Mocholi-Salcedo A.,Polytechnic University of Valencia |
Arroyo-Nunez J.H.,Tulancingo Polytechnic University |
Milian-Sanchez V.M.,Polytechnic University of Valencia |
Verdu-Martin G.J.,Polytechnic University of Valencia |
Arroyo-Nunez A.,Chiapas Polytechnic University
IEEE Transactions on Intelligent Transportation Systems | Year: 2017
From previous studies, mathematical models of magnetic fields generated by different kinds of magnetic loops are known, as well as the high correlation between those models and the real values. On this occasion, we intend to determine the effect on the buried magnetic loop response when vehicles pass over them. Specifically, a theoretical model that reflects the values of the magnetic induction in the loop is presented, as well as the changes it undergoes due to mutual induction phenomena occurring between the loop and the vehicle, when the latter passes over the former. The theoretical values are compared with the actual measurements and the accuracy of the model is checked. Besides, we present a new oscillator circuit; a component being the loop. This circuit has outstanding advantages in comparison with the currently existing ones. Finally, this induction change is used to cause the oscillation frequency modification of a resonant circuit, which in turn is one of the changes used for vehicles detection, identification, and classification. A program is designed and used to obtain the magnetic profile of several vehicles when passing over a rectangular loop. © 2000-2011 IEEE.
Ramirez J.M.,CINVESTAV |
Gonzalez J.M.,Technological University of Mexico |
Ruben T.O.,Tulancingo Polytechnic University
International Journal of Electrical Power and Energy Systems | Year: 2011
With the advent of new technology based on power electronics, power systems may attain better voltage profile. This implies the proposition of careful strategies to dispatch reactive power in order to take advantage of all reactive sources, depending on size, location, and availability. This paper proposes an optimal reactive power dispatch strategy taking care of the steady state voltage stability implications. Two power systems of the open publications are studied. Power flow analysis has been carried out, which are the initial conditions for Transient Stability (TS), Small Disturbance (SD), and Continuation Power Flow (CPF) studies. Steady state voltage stability analysis is used to verify the impact of the optimization strategy. To demonstrate the proposal, PV curves, eigenvalue analyses, and time domain simulations, are utilized. © 2010 Elsevier Inc. All rights reserved.
Rivas-Cambero I.,Tulancingo Polytechnic University |
Sausedo-Solorio J.M.,Autonomous University of the State of Hidalgo
Meccanica | Year: 2012
We propose a general model for pendular systems with an arbitrary number of links arranged sequentially. The form of this model is easily adaptable to different settings and operating conditions. The main subject of analysis is a system obtained as a specific case taken from the general analysis, a three-links pendulum with damping subject to periodic perturbation. We performed a theoretical analysis of the frequency response and compared it with results from temporal integration. Moreover, a law was obtained explaining the behavior of the shift of the resonant frequencies due to a change in a parameter. © Springer Science+Business Media B.V. 2011.
Zaca-Moran P.,Autonomous University of Puebla |
Ramos-Garcia R.,National Institute of Astrophysics, Optics and Electronics |
Ortega-Mendoza J.G.,Tulancingo Polytechnic University |
Chavez F.,Autonomous University of Puebla |
And 2 more authors.
Optics Express | Year: 2015
In this work, the simultaneous presence of saturable (SA) and two-photon absorption (TPA) in zinc nanoparticles (ZnNPs) photodeposited onto the core of an optical fiber was studied in the nanosecond regime with the P-scan method using a high gain pulsed erbium-doped fiber amplifier. An analysis based on Mie theory was carried out to demonstrate the influence of the absorption coefficient with the particles sizes in the proximity of surface plasmon resonance (SPR). The shift from TPA to SA has been observed as the irradiance is increased. It was found that for irradiances lower than 5 MW/cm2, TPA is dominant, whereas for irradiances higher than 5 MW/cm2, the SA becomes dominant. Furthermore, the values of the nonlinear absorption coefficient and the imaginary part of third-order nonlinear optical susceptibility were calculated numerically from the transmittance measured. Such TPA makes ZnNPs a candidate for optical limiting applications, and SA makes them a candidate for applications in pulsed fiber laser systems. ©2015 Optical Society of America.
Enriquez C.,Tulancingo Polytechnic University |
Gomez P.,National Institute of Astrophysics, Optics and Electronics
IEEE Latin America Transactions | Year: 2015
Staff training is fundamental for small software organizations; their daily management depends upon its software engineers quickly dominate state-of-the-art methodologies. In this paper, we fully explain a recently introduced model for improving the capability and maturity of training processes in software methodologies. This model, known as CAAM (acronym in Spanish for: "Training Model of Agile Environments under Moprosoft"), is particularly suited for small companies that are willing to or have been verified in level 1 of the Mexican standard NMX-1-059/02-NYCE-2005. Such standard regulates software development companies and it is based on Moprosoft, a capability-maturity model specially developed for Mexico. CAAM focuses on areas related to planning activities for agile development environments, communications with customers and the use of agile testing tools. © 2015 IEEE.
Hernandez-Martinez E.G.,Tecnologico de Estudios Superiores |
Albino J.M.F.,Tulancingo Polytechnic University
Proceedings of the IEEE International Conference on Control Applications | Year: 2011
The main goal of formation control strategies is to coordinate a robot team to achieve a desired formation pattern. Some applications of formation control, for instance sensing coverage, searching and rescue, transportation of large objects, etc. require to establish the desired positions of the robots according to an strategic and equidistant spatial coverage within the work area or boundary. This paper presents a hybrid architecture where a SOM neural network establishes the strategic positions of a 2D area or perimeter using the formation graph of robots. This information is transmitted online to a low-level control strategy based on artificial potential functions which ensures the convergence to the desired formation and collision avoidance based on decentralized repulsive vector fields instead the common repulsive potential functions. Some numerical simulations with virtual reality show the performance of the control architecture. © 2011 IEEE.
Valdiviezo-N J.C.,Tulancingo Polytechnic University |
Urcid G.,National Institute of Astrophysics, Optics and Electronics
Applied Optics | Year: 2013
This paper introduces a lattice algebra procedure that can be used for the multispectral analysis of historical documents and artworks. Assuming the presence of linearly mixed spectral pixels captured in a multispectral scene, the proposed method computes the scaled min- and max-lattice associative memories to determine the purest pixels that best represent the spectra of single pigments. The estimation of fractional proportions of pure spectra at each image pixel is used to build pigment abundance maps that can be used for subsequent restoration of damaged parts. Application examples include multispectral images acquired from the Archimedes Palimpsest and a Mexican pre-Hispanic codex. © 2013 Optical Society of America.
Tapia R.,Tulancingo Polytechnic University |
Aguilar O.,Tulancingo Polytechnic University |
Minor H.,Tulancingo Polytechnic University |
Santiago C.,Tulancingo Polytechnic University
Electric Power Components and Systems | Year: 2012
This article aims to present the performance of a B-spline neural network scheme for tuning both the reactive power provision controller from synchronous machines and power system stabilizers in multi-machine power systems. The B-spline neural network is an efficient tool to implement the adaptive control voltage and power system stabilizer coordination, with the possibility of carrying out this task on-line, taking into account the systems' non-linearities. One of the main tasks within this context is to estimate the best power system stabilizer's parameters and adjust the proportional-integral parameters for reactive power provision. In this article, this is solved by a neural network algorithm. The applicability of the proposal is demonstrated by simulation on two test systems. Results show that the proposed coordination scheme is comparable to that obtained by a conventional design, without requiring a strict model analysis. © 2012 Taylor and Francis Group, LLC.