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09:00 | Passivity-Based Control Applied of a Reaction Wheel Pendulum: an IDA-PBC Approach PRESENTER: Oscar Danilo Montoya Giraldo ABSTRACT. This paper presents the development of a nonlinear controller for the reaction wheel pendulum (RWP) via an interconnection and damping assignment passivity-based control (IDA-PBC) approach. The IDA-PBC approach works with the port-Hamiltonian open-loop dynamics of the RWP to propose a nonlinear controller that preserves the Hamiltonian structure in closed-loop by guaranteeing stability properties in the sense of Lyapunov. Numerical results confirm the theoretical development presented throughout simulations in Simulink package from MATLAB. Comparison with a Lyapunov-based approach is also provided. |
09:20 | Research Facilities for Renewable Energy Management Considering Distributed Generation based on Microgrids ABSTRACT. The aim of this work is to establish a guideline for the design of research facilities in the field of Energy Management in Distributed Generation in Electric Power Systems. First, a National trend towards the implementation of the main Renewables Energies Technologies is identified, yielding Wind and Photovoltaic Energy as the vanguard. A short review of the Architecture of the Hierarchical control of Microgrids is then presented to continue to analyze the future trends in research on Distributed Generation based on Microgrids. Finally, after the introduction of the existing facilities at FIE-UMSNH in the field of Renewables Energies, a proposal of Architecture of research facilities for the integration of Microgrids in the Grid Network is shown. All the process has been carried out considering IEEE standards related to Microgrids as well as considering the Mexican Regulatory framework related to the Energy Transition |
09:40 | HIL Implementation of Prony-Based Parametric Modal Identification-Pilot Test Results and Analysis ABSTRACT. This paper presents a hardware-in-the-loop implementation of the Prony’s method in a real-time digital simulator (RTDS), an industrial real-time automatic controller (RTAC), and a commercial phasor measurement unit (PMU). The obtained results demonstrate the proper performance of Prony’s method to identify the dominant modes and eliminate trivial modes. The conducted experiments suggest the potential and further applications of this method in real systems using industrial equipment. |
10:00 | Analysis of Electric Energy Consumption in High School Buildings in the State of Michoacán ABSTRACT. This paper presents the analysis of electrical energy consumption of 76 high school buildings in the state of Michoacán, through linear regression analysis, energy audits and benchmarks. The energy consumption is compared for each campus, obtaining a breakdown of consumption per student, m2 and turnover. Also, energy efficiency and savings opportunities that improve the energy performance of these high schools are analyzed. |
10:20 | Optimal Preventive Control of Transient Instabilities of Rotor Angles and Nodal Voltage Magnitudes ABSTRACT. This paper addresses the fundamental issue regarding how to perform the preventive control of transient dynamics associated with rotor angles and nodal voltage magnitudes to obtain a transiently stable operating point for a given contingency scenario. The problem is formulated as a single contingency transient stability-constrained optimal power flow (TSC-OPF) model, in which the optimization and the transient stability problems are sequentially solved until a suitable generation dispatch that provides a transiently stable equilibrium point is assessed. A relevant feature of the proposed approach is its formulation in the form of a conventional OPF problem, which includes two power redispatch constraints that are only a function of the steady state active power output of generators. Hence, the control objective is achieved by constraining the direction and magnitude of the steady-state active power re-dispatch of the generators. The effectiveness of the proposed approach is demonstrated on the WSCC 3-machine-9 bus test system. |
09:00 | Computationally-efficient algorithm for applying motion-controlled kinematics in stepper motors PRESENTER: Rigoberto Rafyani Torres-Camacho ABSTRACT. The motion control of most industrial systems (such as Computer Numerical Control (CNC) machines and robots) require to consider the physical limitations in position, speed and acceleration. A kinematic motion profile describes the desired movement considering such constraints. The profile generator is in charge of generating the motion controlled kinematics for being applied to the mechatronic system. Several works have been proposed for achieving this task; however, most of them use either complex algorithms or pre-calculated profiles. In this work a low-computational-cost algorithm for the generation of motion-controlled kinematics that can be implemented in low-cost microcontrollers is proposed. The effectiveness of the proposed algorithm is validates through simulation and experimentation |
09:20 | Design and implementation of an actuator with control interface for a distillation column boiler ABSTRACT. In this work the design of a distillation column actuator controlled by an interface to regulate the electrical power of the heating resistance in the column boiler is presented. The actuator is based on a AC-DC converter and a DC-DC converter, the actuator is regulated by the output voltage using a PI controller. An interface is developed in LabVIEW to monitor the system and operate the control in real time. The actuator is validated with experimental data from a distillation column boiler.s validated with experimental data from a distillation column boiler. |
09:40 | Correlation Study between Photovoltaic Power Output and Environmental Variables Using an Embedded IoT System ABSTRACT. The sunlight is the most important renewable source however, the systems designed for its usage are not a continuous power delivering option. A photovoltaic (PV) panel is the most common harvesting device for solar energy, despite having low efficiency. Moreover, its semiconductor-based nature makes its power delivering highly weather dependent. In the study, a correlation between the most significant weather variables and the power delivered by a PV panel is presented. In order to achieve confident results, an Embedded IoT system is proposed to collect and save data for further analysis, more than 40k samples were handled for this first stage correlation study. |
10:00 | Adaptive Modeling and Control Applied to a Hydraulic Motor ABSTRACT. In this paper a modeling of a hydraulic system composed by a hydromotor and a proportional valve is presented. Due to the non-linear characteristics of the analyzed system the modeling is obtained from experimental measurements for a specific range of operation, which allows to obtain output patterns as a response to input signals. The hydraulic system is represented by an adaptive linear model, whose coefficients have a dynamic behavior as a function of system’s input. Speed and position control loops with a linear PID with adaptive coefficients is implemented, which allows the PID reconfiguration as the operating point is changing. The proposed model is tested by simulations and in an experimental rig. |
09:00 | Comparative Analysis of Transformerless Multilevel Inverters for Renewable Systems ABSTRACT. Single-phase multi-level inverters are increasingly used in the industry, particularly in medium and high power applications. Multilevel inverters are considered very convenient configurations in applications of renewable energy sources. Their high power, efficiency, quality in the output voltage and performance make them interesting for photovoltaic applications. In this paper, a comparative analysis of seven-level multilevel inverter topologies is carried out that allows determining the most appropriate topology for the connection of photovoltaic systems to the power grid without a transformer. In this document two comparisons are made, the first comparison is based on the structures of multilevel inverters. The second comparison is made in terms of harmonic distortion, efficiency and common mode currents. An SL-PWM modulation scheme is implemented to make the comparisons and numerical results are presented to corroborate the presented analysis. |
09:20 | Active and Reactive Power Control based on an Inner Predictive Voltage Control Loop for AC generation systems with Direct Matrix Converter ABSTRACT. In order to satisfied the growing electrical energy demand around the world, renewable energy generation systems under distributed generation frame emerges as a plausible solution. In this context wind and micro-hydro generation systems consist of renewable AC sources that need efficient and totally controlled power conversion stages. In this work a novel active and reactive power control strategy based on two cascade control loops using a combination of classical PR controller and Model Based Predictive Voltage Control strategy for AC generation systems are presented. The performance of the system are analysed regarding tracking of reference and THD with satisfying transient results and THD lower than 1 % in the injected current widely accomplishing with international standards. |
09:40 | Mitigating fluctuations of wind power generation using superconducting magnetic energy storage: a passivity-based approach PRESENTER: Oscar Danilo Montoya Giraldo ABSTRACT. This paper presents the control of the active and reactive power of a superconducting magnetic energy storage (SMES) system for compensating fluctuations of a power system with high penetration of wind energy during extreme scenarios of wind gusts. The wind energy conversion system (WECS) is a Type-A turbine with squirrel cage induction generator (SCIG) and a capacitor bank. A passivity-based proportional-integral control (PI-PBC) is used that controls the power transfer of the SMES system to the power grid. The proposed controller is designed with two main objectives: First, to deliver (or absorb) a suitable active power to (or from) the power system, and second, to regulate the voltage of the WECS. The proposed PI-PBC guarantees asymptotically stability in closed-loop and exploits the advantages of the proportional-integral (PI) actions. Also, it presents a superior performance when it is compared to a conventional PI controller and a proportional feedback linearization controller. Simulation results carried-out in MATLAB/SIMULINK demonstrate the advantages of the proposed methodology. |
09:00 | Cumulative effect of electroporation pulses and drug transport in cancerous tissue PRESENTER: Luis Carlos Gutiérrez Cruz ABSTRACT. Cancer has reached worrying levels of proliferation. Research and the study of therapies that contribute to their treatment are increasingly necessary. It has been observed that using electroporation maximizes the entry of drugs into the cells, enhancing their effects, which is known as electrochemotherapy. In this work, experimental data describing the effect of pores accumulation in the cell membrane during the application of electrical pulses in a macroscopic mathematical model of drug transport using nonlinear regressions and the least squares method are implemented. The results show that the use of experimental data with mathematical models, allows to improve the predictions of drug entry, obtaining results closer to reality that can be used for the planning of treatments with electrochemotherapy. |
09:20 | Artificial Intelligence system to support the clinical decision for influenza ABSTRACT. Influenza is an acute disease of the respiratory tract. In Mexico, the influenza every year occurs with temporality and intensity is not known exactly[1]. This disease also represents a high cost for national public health. The goal of this research is to create an intelligent system to support by diagnosis of influenza using the relevant factors based on historical data of the Mexican population. Until now all patients who arrive at a health institution with symptoms of influenza are immediately diagnosed as Disease Type Influenza and the drug Oseltamivir is applied, for a minimal cases sends the molecular analysis using the real-time PCR technique to corroborate the diagnosis. The consequences are the amount of False Positive and False Negative, which implies a high cost for the Health Sector or for the patient in the application of the medication, the shortage in the market of the medicine that can not be enough for the whole season and, for the patient, also the secondary disorders that arise due to the use of the medication. We propose support the diagnosis with Machine learning methods, with data of data base of the Mexican Institution, INDRE, where there are registers of people who were diagnosed of Influenza an after taken a sample to PCR-RT test for the final result. We use 3473 registers of people are 7 years old and were taken care of in Mexico City. Performance evaluation observed, with a case study of 20% of patients from the database using as a test set, shows sensitivity and sensibility results of 90% with the best algorithm |
09:40 | Self-localization and positioning vehicle navigation system based on computer vision and PID control ABSTRACT. In this work a control system developed in Python is presented for the autonomous navigation of vehicles using a monocular vision system to detect reference patterns in a controlled environment. This control system is based on the data extraction from the vision system camera feed to generate position vectors which enable the localization of the vehicle in the environment, without having to depend purely on odometry avoiding the error that it generates. The infrastructure developed for this paper is a low cost 4 wheeled vehicle with a minimal quantity of sensors and a VGA camera for the computer vision system. |
10:00 | A Parallel Implementation of the Species Distribution Modeling Algorithm ABSTRACT. Climate change together with changes in the chemical composition of the atmosphere imply serious risks for ecosystems. These risks are mainly due to the concentration of greenhouse gases, the variation in rainfall periods, and the increase in the average temperature of the planet. The effects of these environmental problems have an impact on the distribution of species. A strategy to know the affectations and distribution of species derived from climate change is presented in this paper. This strategy is implemented as a parallel version of the supervised classification technique called MaxLike. This parallel code runs on a Quad-core Intel Xeon processor 8GB RAM OSX Yosemite 10.10.5 computer. It allows a more extensive analysis of distribution of species due to climate change while it allows a longer simulation over the time. |
10:40 | New Grid – When Past, Present and Future Collide |