Person:
Minchala Ávila, Luis Ismael

Birth Date

1963-11-27

ORCID

0000-0003-0822-0705

Scopus Author ID

56102775600

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)

Last Name

Minchala Ávila

First Name

Luis Ismael

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Search Results

Now showing 1 - 10 of 49

Evaluating the mindwave headset for automatic upper body motion classification
(Institute of Electrical and Electronics Engineers Inc., 2018) Palacio Baus, Kenneth Samuel; Minchala Ávila, Luis Ismael; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián; Astudillo Salinas, Darwin Fabián
This paper presents preliminary results on evaluating the NeuroSky Mindwave headset for upper body motion intention classification. An artificial neural network (ANN) is trained by using a data set built for two different feature extraction methods, one based on the wavelet transform (WT) and another based on the use of spectrograms. Since there are five different types of brain waves,(Î±, Î², Î³, Î”, Î¸) some data aggregation procedures are proposed to reduce the dimensionality of the data set. The classification results show that it is possible to attain a 73.1% of assertion rate. Â© 2017 IEEE.
Comparison of the performance and energy consumption index of model-based controllers
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2016-10-12) Minchala Ávila, Luis Ismael; Palacio Baus, Kenneth Samuel; Ortiz, J.P; Valladolid, J.D
This paper presents a comparison of the performance of different control algorithms in two types of systems; one exhibiting fast dynamics and the other slow dynamics. The first control system regulates the speed of a DC motor, while the second control system regulates the temperature of an electrical heater. This systems' performance comparison pretends to evaluate the energy consumption, as well as the controllers' transient response in order to identify the best control strategy for each system. System models are obtained through the responses to a pseudorandom binary signal (PRBS) and the least squares fit method using an auto-regressive model with an exogenous variable (ARX). The implemented control algorithms used in this study are: Pole placement regulator (state-space controller) with integral error processing, auto-tunable proportional-integral-derivative (PID) controller, neural PID controller, unconstrained model predictive control (MPC), fuzzy PID controller, neuro-fuzzy controller, bayesian controller and an optimal quadratic regulator (LQR). A detailed analysis of the performance and energy consumption index is performed, that allow the categorization of the control strategies in accordance with their performance.
A simple mapping methodology of gait biomechanics for walking control of a biped robot
(Institute of Electrical and Electronics Engineers Inc., 2018) Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián
This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. Â© 2018 IEEE.
An open source SCADA system to implement advanced computer integrated manufacturing
(IEEE COMPUTER SOCIETY, 2016-12-01) Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Ochoa, S; Velecela, E
The computer integrated manufacturing (CIM) approach allows the possibility to remotely and optimally control the entire production process in a plant. The implementation of CIM architectures demands the installation of several software platforms, which most of the cases are commercial and have high licensing prices. This research presents the development of an open software architecture for advanced CIM (OSACIM) by using two open software development platforms: Java and Python. The use of open software in the development of this solution allows the creation of a low price CIM approach. The results of using the system in laboratory tests show good results in comparison with commercial softwares for developing OPC communications and SCADA systems, which perform similar functionalities as the proposed OSACIM. The main features and limitations of the system are reported.
Water level monitoring system based on LoPy4 microcontroller with LoRa technology
(Institute of Electrical and Electronics Engineers Inc., 2018) Guamán Rivera, Jhonny Lenin; Astudillo Salinas, Darwin Fabián; Vázquez Rodas, Andrés Marcelo; Minchala Ávila, Luis Ismael; Placencia León, José Sebastián; Astudillo Salinas, Darwin Fabián
Modern weather stations allow real-time monitoring of several atmospheric variables. Wireless Sensor Networks (WSN) provide communication between nodes and the Network Coordinator (Gateway). This network uses transceivers to send the data generated by the stations. The use of WSN in remote locations involves the construction of repeaters because there is no cellular signal or an access network. This article presents the development of a datalogger for stations that measure river water levels of the andean region. The LoPy4 microcontroller is used. This solution combines easy sensor configuration via WiFi and long-range transceiver with LoRa (Long Range) technology. The proposed datalogger has a solar power supply and allows real-time data transmission using the SX1272 transceivers, while a GPRS module is integrated in the coordinator for transmission to the monitoring station server. A GPRS module is integrated into the gateway to forward the data from the stations to the data center.
Mean frequency and noise from patients with pathologies in lower limbs
(Institute of Electrical and Electronics Engineers Inc., 2020) Minchala Ávila, Luis Ismael; Mora Tola, Esteban Javier; Wong de balzan , Sara Null; Astudillo Salinas, Darwin Fabián; Vázquez Rodas, Andrés Marcelo; Cárdenas León, Verónica Vanessa; Ayavaca Tapia, Luz María
Raw electromyography (EMG) signals are useful for several purposes in the analysis of muscles in both clinical and engineering applications. For instance, muscles fatigue is, typically, assessed by the mean frequency (MNF) of the EMG signal. Previous research works have shown that there is a positive correlation between the signal to noise ratio (SNR) of the EMG signal and its MNF value. The aim of this work is to determine and compare MNF in subjects with impairments in the lower limbs. Measurements of the MNF and the SNR were performed in nine muscles of six pathologic subjects, which were compared with a similar database of subjects without apparent pathologies. The MNF value was estimated using the power spectral density. The SNR for pathologic patients database was higher (17.28±1.67 dB) with respect to the database of subjects without apparent pathologies (12.86±1.71 dB). Subjects with pathologies in the lower limbs presented a decrease in the average value of the MNF.
Open source SCADA system for advanced monitoring of industrial processes
(Institute of Electrical and Electronics Engineers Inc., 2018) Merchán Piedra, Daniel Felipe; Peralta Sisalima, Jonnathan Antonio; Vázquez Rodas, Andrés Marcelo; Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Merchán Piedra, Daniel Felipe
Modern industries demand reliable supervision and control of every process involved in the manufacturing. Computer integrated manufacturing (CIM) systems provide a reference frame for integrating the majority of entities of an automation process by using computers to control production systems. Integrating a fully operational CIM system implies high costs of licenses of specialized automation software, which limits its penetration to low and medium size industries. This paper presents the development of an open source supervisory control and data acquisition (SCADA) system by using the general purpose programming platform, Python. The SCADA system offers communication capabilities through an open source OPC-UA server, which solves data exchange with control devices such as PLC, PAC, etc. The system also provides fault-tolerance features thanks to the implementation of an active fault tolerant …
A simple reliable wireless bus design for home automation systems
(Institute of Electrical and Electronics Engineers Inc., 2018) Flores, Pablo; Moscoso Martínez, Marlon; Minchala Ávila, Luis Ismael; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián; Minchala Ávila, Luis Ismael
This paper presents the design and development of a simple wireless bus for domotics (WBD). The architecture of the bus is based on a classical master/multi-slave configuration, where the beginning of any task in the network is initiated by the master unit. The proposed domotic bus shows a reliable performance thanks to the cyclic redundancy check (CRC) algorithm configured in a modified Modbus frame. The commands’ speed response of the proposed bus is increased in comparison with other domotic standards, such as X10, ZigBee, and LonWorks, which offers an affordable, yet reliable self-configurable network solution for home automation solutions (HAS).
Lower limbs motion intention detection by using pattern recognition
(Institute of Electrical and Electronics Engineers Inc., 2018) Astudillo Palomeque, Felipe Emmanuel; Charry Ramírez, José Ricardo; Minchala Ávila, Luis Ismael; Wong de balzan , Sara Null
Electromyographic (EMG) signals processing allows to perform the detection of the intention of movement of the limbs of the human body in order to further use this decision to control wearable devices. For instance, robotic exoskeletons main objective consist of a human-robot interface capable of understanding the user’s intention and reacting appropriately to provide the required assistance in an opportune way. In this paper, we study the performance of superficial EMG intended to design a intent pattern recognition based on Artificial Neural Networks (ANN) trained by the Levenberg-Marquardt method. Experiments consisting in 231 EMG records corresponding to 13 lower limbs muscles from 21 healthy subjects were considered. The EMG signals were randomly divided into the following sets: 70 % for training, 15 % for validation and 15 % for evaluation. The ANN-based pattern recognition was evaluated sample per sample with the movement intention annotations (target) and after the traininig operation end, the performance was evaluated in relation to the events (number of steps). The results show an accuracy of 90,96% sample per sample and 94,88% for an based on events evaluation. These findings motivates the use of this methodology for the classification of the motion intention detection in subjects with pathologies in the lower limbs.
An explorative study of search algorithms applied to the gain scheduling in PID controllers
(IEEE, 2023) Minchala Ávila, Luis Ismael; Criollo Gordillo, Michael Alexander
The efficiency of a proportional-integral-derivative (PID) controller depends directly on the values of the gains Kp, Ki, and Kd. In this context, changes in the process dynamics imply degradation in the performance of the closed-loop control system. Several artificial intelligence techniques are used to adjust the PID parameters to improve the control system’s performance. However, there is little exploratory evidence about how primitive techniques with low computational costs can contribute to solve this gain calculation task. This paper explores and compares three algorithms applied to the real-time gain calculation of PID controllers: fuzzy logic (FGS-PID), simulated annealing (SA-PID), and the A⋆search method (A⋆PID). The validation of the operation of these schemes is carried out through simulations as well as by applying these controllers to a two-tank liquid-level control system. Experimental results show the algorithms’ effectiveness to improve the control system’s global performance and to add passive fault-tolerance capabilities.