Análisis comparativo de controladores PID y PI con lógica difusa para el control de velocidad en motores DC
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Fecha
2023
Autores
Llinás Cervera, Juan Felipe
Mendoza Donado, Obed David
Sierra Sabalza, Hans Steven
Valencia Valencia, Nagid Fernando
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Ediciones Universidad Simón Bolívar
Facultad de Ingenierías
Facultad de Ingenierías
Resumen
Para el control de velocidad en motores de corriente directa se puede utilizar un controlador PID tradicional, pero este controlador presenta problemas tales como un sobreimpulso, un tiempo de estabilización grande y no presenta el 100% de estabilización, una forma de mejorar el desempeño del controlador es aplicando una lógica difusa el cual varie la K proporcional de controlador PID de tal manera que este no presente los problemas mencionados anteriormente. Este estudio comparativo está centrado en contrastar dos enfoques utilizados para el control de velocidad de motores de corriente continua (DC) los cuales son el control PID y el control PID con lógica difusa, esto mediante una metodología aplicada con un enfoque cuantitativo con varias etapas de investigación. El análisis de resultados nos permitirá obtener conclusiones sobre el rendimiento de los controladores PID y PID con lógica difusa en el control de motores DC. Se identificarán las fortalezas y debilidades de cada controlador y se proporcionará recomendaciones para su implementación práctica, determinando así el mejor controlador de velocidad para un motor DC. Donde se logra evidenciar la optimización que brinda el controlador al implementar la lógica difusa, además, se sugerirán posibles áreas de mejora y direcciones para futuras investigaciones.
For speed control in direct current motors, a traditional PID controller can be used, but this controller has problems such as overshoot, long stabilization time and does not have 100% stabilization, a way to improve controller performance. It is by applying a fuzzy logic which varies the proportional K of the PID controller in such a way that it does not present the problems mentioned above. This comparative study is focused on contrasting two approaches used for the speed control of direct current (DC) motors, which are PID control and PID control with fuzzy logic, this through a methodology applied with a quantitative approach with several stages of investigation. The analysis of results will allow us to draw conclusions about the performance of PID and PID controllers with fuzzy logic in the control of DC motors. The strengths and weaknesses of each controller will be identified and recommendations for their practical implementation will be provided, thus determining the best speed controller for a DC motor. Where it is possible to demonstrate the optimization provided by the controller when implementing fuzzy logic, in addition, possible areas for improvement and directions for future research will be suggested.
For speed control in direct current motors, a traditional PID controller can be used, but this controller has problems such as overshoot, long stabilization time and does not have 100% stabilization, a way to improve controller performance. It is by applying a fuzzy logic which varies the proportional K of the PID controller in such a way that it does not present the problems mentioned above. This comparative study is focused on contrasting two approaches used for the speed control of direct current (DC) motors, which are PID control and PID control with fuzzy logic, this through a methodology applied with a quantitative approach with several stages of investigation. The analysis of results will allow us to draw conclusions about the performance of PID and PID controllers with fuzzy logic in the control of DC motors. The strengths and weaknesses of each controller will be identified and recommendations for their practical implementation will be provided, thus determining the best speed controller for a DC motor. Where it is possible to demonstrate the optimization provided by the controller when implementing fuzzy logic, in addition, possible areas for improvement and directions for future research will be suggested.
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Palabras clave
Controlador PID, Controlador Fuzzy, Control de velocidad, Análisis comparativo, PID controller, Fuzzy controller, Speed control, Comparative analysis
