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Carlos Rodriguez-Donate  - - - 
Top co-authors See all
René De Jesús Romero-Troncoso

150 shared publications

Facultad de Ingenieria, Universidad Autonoma de Queretaro, San Juan del Rio, Mexico

Roque A. Osornio-Rios

37 shared publications

Facultad de Ingenieria, Universidad Autonoma de Queretaro, San Juan del Rio, Mexico

Gilberto Herrera-Ruiz

19 shared publications

Faculty of Engineering, Autonomous University of Queretaro, Santiago de Querétaro 76010, México

Luis Morales-Velazquez

14 shared publications

Universidad Autónoma de Querétaro

Jesus Rooney Rivera-Guillen

8 shared publications

Ingenieria, Universidad Autonoma de Queretaro, Río Moctezuma 249 Col. San Cayetano, San Juan del Rio, Queretaro, 76805, MEXICO

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Publication Record
Distribution of Articles published per year 
(2010 - 2012)
Total number of journals
published in
 
1
 
Publications
Article 4 Reads 0 Citations FPGA-Based Multiprocessor System for Injection Molding Control Benigno Muñoz-Barron, Luis Morales-Velazquez, Rene J. Romero... Published: 18 October 2012
Sensors, doi: 10.3390/s121014068
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
The plastic industry is a very important manufacturing sector and injection molding is a widely used forming method in that industry. The contribution of this work is the development of a strategy to retrofit control of an injection molding machine based on an embedded system microprocessors sensor network on a field programmable gate array (FPGA) device. Six types of embedded processors are included in the system: a smart-sensor processor, a micro fuzzy logic controller, a programmable logic controller, a system manager, an IO processor and a communication processor. Temperature, pressure and position are controlled by the proposed system and experimentation results show its feasibility and robustness. As validation of the present work, a particular sample was successfully injected.
Article 0 Reads 9 Citations Fused Smart Sensor Network for Multi-Axis Forward Kinematics Estimation in Industrial Robots Carlos Rodriguez-Donate, Roque Alfredo Osornio-Rios, Jesus R... Published: 13 April 2011
Sensors, doi: 10.3390/s110404335
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Flexible manipulator robots have a wide industrial application. Robot performance requires sensing its position and orientation adequately, known as forward kinematics. Commercially available, motion controllers use high-resolution optical encoders to sense the position of each joint which cannot detect some mechanical deformations that decrease the accuracy of the robot position and orientation. To overcome those problems, several sensor fusion methods have been proposed but at expenses of high-computational load, which avoids the online measurement of the joint’s angular position and the online forward kinematics estimation. The contribution of this work is to propose a fused smart sensor network to estimate the forward kinematics of an industrial robot. The developed smart processor uses Kalman filters to filter and to fuse the information of the sensor network. Two primary sensors are used: an optical encoder, and a 3-axis accelerometer. In order to obtain the position and orientation of each joint online a field-programmable gate array (FPGA) is used in the hardware implementation taking advantage of the parallel computation capabilities and reconfigurability of this device. With the aim of evaluating the smart sensor network performance, three real-operation-oriented paths are executed and monitored in a 6-degree of freedom robot.
Article 0 Reads 15 Citations FPGA-Based Fused Smart Sensor for Dynamic and Vibration Parameter Extraction in Industrial Robot Links Carlos Rodriguez-Donate, Luis Morales-Velazquez, Roque Alfre... Published: 26 April 2010
Sensors, doi: 10.3390/s100404114
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Intelligent robotics demands the integration of smart sensors that allow the controller to efficiently measure physical quantities. Industrial manipulator robots require a constant monitoring of several parameters such as motion dynamics, inclination, and vibration. This work presents a novel smart sensor to estimate motion dynamics, inclination, and vibration parameters on industrial manipulator robot links based on two primary sensors: an encoder and a triaxial accelerometer. The proposed smart sensor implements a new methodology based on an oversampling technique, averaging decimation filters, FIR filters, finite differences and linear interpolation to estimate the interest parameters, which are computed online utilizing digital hardware signal processing based on field programmable gate arrays (FPGA).
Article 1 Read 15 Citations FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts Miguel Trejo-Hernandez, Roque Alfredo Osornio-Rios, Rene De ... Published: 07 April 2010
Sensors, doi: 10.3390/s100403373
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Manufacturing processes are of great relevance nowadays, when there is a constant claim for better productivity with high quality at low cost. The contribution of this work is the development of a fused smart-sensor, based on FPGA to improve the online quantitative estimation of flank-wear area in CNC machine inserts from the information provided by two primary sensors: the monitoring current output of a servoamplifier, and a 3-axis accelerometer. Results from experimentation show that the fusion of both parameters makes it possible to obtain three times better accuracy when compared with the accuracy obtained from current and vibration signals, individually used.
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