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Permanent URI for this communityhttps://axces.info/handle/10.18687/46
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Item Controller Design for Induction and Brushless Motors Using Matlab with Digital Signal Processor (DSP)(LACCEI Inc., 2021-07) Claros Poveda, Bianca Rashell; Castro Castro, RigobertoThe automation process is a very important pillar for Industry 4.0. One of the first steps is the control of motors to improve production efficiency and generate energy savings. In mass production industries, techniques such as digital signal processing (DSP) systems are implemented to control motors. These systems are efficient but very expensive for certain applications. From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption. This project presents the design of an adaptive control system for brushless AC induction and DC motors, which is functional to any type of plant in the industry. The design was possible by implementing Matlab software and tools such as digital signal processor (DSP) and Simulink. Through an extensive investigation of the state of the art, three models needed to represent the control system have been specified. The first model for the AC motor, the second for the DC motor and the third for the DSP control; this is done in this way so that the probability of failure is lower. Subsequently, these models have been programmed in Simulink, integrating the three main models into one. In this way, the design of a controller for use in AC induction motors, specifically squirrel cage and brushless DC motors, has been achieved. The final model represents a response time of 0.25 seconds, which is optimal for this type of application, where response times of 2e-3 to 3 seconds are expected.Item Water Quality Parameter Monitoring System Using Low Power Wide Area Network Technology (LPWAN) and Internet of Things (IOT)(LACCEI Inc., 2020-07) Retes Calix, Sebastián; Castro Castro, RigobertoAccess to drinking water has been one of the basic needs of the human being, in addition to being considered a fundamental human right. The measurement, analysis and control in real time and remotely of the parameters that determine whether it is suitable for human consumption has meant a need in water purification systems in rural areas of difficult access. The project has focused on the development of a system for measuring water parameters that guarantee the safety of its consumption, these data are the potential of hydrogen (pH), reduction-oxidation potential (ORP) and parts per million of chlorine residual in water. This system uses an intelligent interface for data transmission in conjunction with the Internet of Things (IOT). The parameters measured in the water are identified as fundamental for the determination of the quality of water suitable for human use, thereby promoting food security in the Central American region. The project has proposed the integration of low cost technologies, low energy consumption, internet of things and long range communication technologies. It was determined that Low Power Wide Area Network (LPWAN) technology and LoRa devices meet the necessary requirements for the execution of the system, in addition, The Things Network platform was used to visualize real-time water parameters and cloud storage. The project presents an innovative proposal for its implementation in rural communities that have water purification systems, with this, it is sought to have greater control and effective management of water purification systems to improve the food security in rural communities of difficult access.