Nicolás Toro-García
Universidad Nacional de Colombia-Sede Manizales

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PID controller using rapid control prototyping techniques Odair A. Trujillo; Nicolás Toro-García; Fredy E. Hoyos
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.85 KB) | DOI: 10.11591/ijece.v9i3.pp1645-1655

Abstract

To analyze the performance of the PID controller in a buck type converter implemented in real time. We begin by designing a continuous controller using the analytical method for calculating PIDs. Pulse width modulation is then used and bifurcation diagrams analyzed to reveal some problems of switching and sampling time. The model converter is then implemented with a PID controller in dSPACE. The experimental results provide detailed requirements of sampling frequency and switching speed, and show the performance of the PID controller. Converters are used in power generation solar systems and conmuted power sources for feed telecommunication devices, smart grids, and other applications.
Fall risk in the aging population: fall prevention using smartphones technology and multiscale sample entropy Yeison Alberto Garcés-Gómez; Paula Andrea Duque; Angela Viviana Alzate-García; Nicolás Tóro-García
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 6: December 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i6.15980

Abstract

Falls are an important aspect of older people's health because they trigger major injuries and even death in one-third of fallen patients, making them  a major public health problem. Given the risk of physical and psychological injury, if serious injuries occur as a result of a fall, prevention is an important consideration in today's health care landscape, where the population is predominantly adult world wide. This paper presents the applicability ofa simple technique of analysis of gait signals capturedby mobile devices with the objective to the generation of early warnings on the risk of falls in older adults, which correlates with subjective scales. The technique is tested in a population of patients showing results of the significant risk of falls inpatients that the subjective scales could not detect, demonstrating that mobile devices and signal processing can become important tools in the service of elderly care in fall risk prevention.