The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Multi-drive power converters have been developed to control two or more machines using a single device. However, they require complex multi-objective and reliable control schemes. Based on the above, this paper presents a proposal of multi-drive topology based on an indirect matrix converter using a predictive control scheme operating at fixed switching frequency to control two independent three-phase...
The classic model predictive control presents a variable switching frequency which could produce high ripple in the controlled waveforms or resonances in the input filter of the matrix converter, affecting the performance of the system. This paper presents two model predictive control strategies with fixed switching frequency operation which allow a better performance of the system. The operation...
This paper describes the procedure for controlling a non-linear process of Continuous Stirred Tank heater with Adaptive PID control and NEPSAC control. In particular, the interest is centered on analysis strategies to calculate a mathematical model, that later will be designed in the simulink software. The values shown in the analysis were selected from a CSTH with jacket implemented at the facilities...
Lately, it has been developed many studies related to the control of uncertain systems, one reason for this studies is because it is hard to precisely describe a system, therefore the process is expressed as uncertain systems. One way to represent an uncertain system is by describing the model as a convex combination of several knownmodels. In this paper a state feedback controller is designed for...
Magnetic levitator is a challenging problem to address complex control systems in control teaching. In this paper the magnetic levitator model is synthetized using a Port Hamiltonian approach and with this model, an observed state gain feedback is tuned with a LQG technique. Then a SMC that used the observed state gain feedback in the sliding zone is developed, establishing the requirements for feedback...
The Indoor flights of UAV (Unmanned Aerial Vehicle) are susceptible to impacts of multiples obstacles and walls. The most basic controller that a drone requires in order to achieve indoor flight, is a controller that can maintain the drone flying in the same site, this is called hovering control. This paper presents a fuzzy PID controller for hovering. The control system to modify the gains of the...
This paper presents a proposal of working method for the development of Virtual Instruments. The method is valid with the design of an open source graphical user interface and its implementation as a virtual instrument to acquire the variables of a prototype of an industrial process for stamping parts. The method is developed in four stages: analysis and modeling, design, construction and validation...
The presence of both electronic-converter-based and rotating-machine-based energy sources in microgrids poses a challenge for its stable operation. Most of the stability studies in microgrids have been focused on the electronic converters interfacing a renewable energy source to an AC microgrid. However, the rotating machines are still a key component of many microgrids. This paper presents an induction...
This work proposes the use of a fleet of drones (quadcopter/optocopter) inside a production plant of plastic products for the home, in the transport of the materials and components necessary for the personalization of products in the last phases of the production process in a Mass Customization System. A computational tool is designed to configure the fleet to perform certain logistic operations under...
The new ecosystems of ICTs are changing, dynamic and diverse, so that traditional networks must evolve towards a new centralized, scalable and resilient management that is beyond the boundaries of the data center, reaching the wide area network service providers. However, this transition entails the deployment of new scenarios in which traditional technology and software-defined networks (SDNs) converge,...
This paper presents a comparison between the performances of LBP and Haar features in a Cascade Classifier, which aims automatically to count immature whiteflies (nymphs). The relevance of counting these nymphs is related to pest management, which leads to an increase in food production. Evaluate differences in weak classifiers can lead to better understanding and implementation of object detection...
This paper considers the development of a monitoring tool based on citizen science, smart-phones and web applications, which allows the community to share information about geolocated wildlife sightings. The data is managed in a web platform, so that various sectors of the community can access, visualize, share and benefit of the generated information. Wildlife sighting data can be used for promoting...
In the context of the educational quality evaluation measured through standardized tests, this article aims to select the context variables that have a greater contribution in the differentiation of the categories of the 2015 SIMCE math score, for eighth grade students of the region of La Araucanía, Chile. Based on a cross-sectional research, a supervised classification design was implemented, defining...
The use of dual arm robots for human like operations such as the peg-in-hole tasks can be facilitated by learning contact states during manipulation. In this paper, we propose a control scheme that includes the learning of contact states during operations. The approach includes the use of a Motoman SDA-20 dual-arm robot equipped with two three-fingered gripper and a force/torque sensing capability...
This article shows development of a fixed wing Unmanned Aerial Vechicle (UAV) prototype with multi rotor control system. This model pretends increase flight time of multi rotor system using aerodynamic characteristics. The lift force generated by a wing reduce the required power of the motors to raise up the structure during horizontal forward flight. For airfoil selection and sizing of the wing,...
In this paper an indirect model predictive current control strategy is proposed. The proposed method simplifies the computational cost while avoiding the use of weighting factors. Weighting factors are an issue for model predictive control in a direct matrix converter due to the large number of available switching states and necessity to control both input and output sides of the converter.
This paper presents preliminary results on the development of a vision-based controller with a smart phone in the loop for autonomous vehicles. Our approach involves the use of the low cost vision sensors available on a smart phone to implement speed control for a lead-follower application, under stop-and-go traffic conditions. The controller uses fuzzy logic to determine commands based on estimated...
The objective of this work is to analyze and understand the operation of the elevators system, simulating and optimizing the traffic of individuals in elevators. Passive elements (queues) and active (processors/servers) are analyzed. A simulation methodology is developed for passive and active elements using the system methodology to discrete events. The heuristic method is used in an attempt to find...
A neuro-fuzzy identification procedure is presented with application in a density sensor for liquid mixed flows, using the inferential method, where data collection is retrieved from the process image data, which can overcome the difficulties of measuring system of this variable to control the efficiency of hydro-transport in mixed flows in chemical industry. Shows a hybrid neural network (SOM-LVQ)...
In this paper we do staircase detection with a stereo vision based algorithm through NAO robot, using one of this cameras. Robot programming was implemented in Python language using ROS software. The detection algorithm is divided in two parts: line detection and depth perception. In line detection process we use Hough transform and vanishing point criteria for line segmentation. Respecting depth...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.