Modeling and Simulation of Two Axes Gimbal Using Fuzzy Control

The application of the guided missile seeker is to provide stability to the sensor’s line of sight toward a target by isolating it from the missile motion and vibration.The main objective of this paper is not only to present the physical modeling of two axes gimbal system but also to improve its performance through using fuzzy logic controlling approach.The paper is started by deriving the mathematical model for gimbals motion using Newton’s second law,followed by designing the mechanical parts of model using SOLIDWORKS and converted to xml file to connect dc motors and sensors using MATLAB/SimMechanics.Then,a Mamdani-type fuzzy and a Proportional-Integral-Derivative(PID)controllers were designed using MATLAB software.The performance of both controllers was evaluated and tested for different types of input shapes.The simulation results showed that self-tuning fuzzy controller provides better performance,since no overshoot,small steady-state error and small settling time compared to PID controller.

Integration of a Didactic Manufacturing Cell with Different Robot Configurations

The present work makes the exhibition of a manfacturing cell for didactic pulposes, implemented as part of evaluation in the last cycle of mechatronics engineering formation within Technological University of North Aguascalientes. It includes the motivation that led to plnning and subsequent implementation of manufacturing system described, the characteristics of particular processing operations that it was decided to include, methodology to achieve joint work and synchronization of each operation performed, the results of operation obtained and their comparison with initial expectations, as well as the conclusions derived from process, which lead to considering such a project as an ideal model to verify the formation of the future mechatroonics engineers, when faced with applications of their area of exercise, reviewing operating principle of mechanical, electronic, control and computing systems to achieve their synergy in a mechatronic system.

Adaptive Neuro-Fuzzy Modeling of Mechanical Behavior for Vertically Aligned Carbon Nanotube Turfs

Several characterization methods have been developed to investigate the mechanical and structural properties of vertically aligned carbon nanotubes （VACNTs）. Establishing analytical models at nanoscale to interpret these properties is complicated due to the nonuniformity and irregularity in quality of as-grown samples. In this paper, we propose a new methodology to investigate the correlation between indentation resistance of multi-wall carbon nanotube （MWCNT） turfs, Raman spectra and the geometrical properties of the turf structure using adaptive neuro-fuzzy phenomenological modeling. This methodology yields a novel approach for modeling at the nanoscale by evaluating the effect of structural morphologies on nanomaterial properties using Raman spectroscopy.

Laser Wavelength Estimation Method Based on a High-Birefringence Fiber Loop Mirror

A simple method for the estimation of the wavelength of a fiber laser system is proposed. The method is based on the use of a high-birefringence-fiber loop mirror(HBFLM).The HBFLM exhibits a periodic transmission/reflection spectrum whose spectral characteristics are determined by the length and temperature of the high-birefringence fiber(HBF).Then,by the previous characterization of the HBFLM spectral transmission response,the central wavelength of the generated laser line can be estimated.By using a photodetector,the wav.elength of the laser line is estimated during an HBF temperature scanning by measuring the temperature at which the maximum transmitted power of the HBFLM is reached.The proposed method is demonstrated in a linear cavity tunable Er/Yb fiber laser.This method is a reliable and low-cost alternative for laser wavelength determination in short wavelength ranges without the use of specialized and expensive equipment.