Una metodología para la identificación integrada con el diseño de controladores imc-pid
Revista Iberoamericana de Automática e Informática Industrial RIAI, ISSN: 1697-7912, Vol: 4, Issue: 4, Page: 5-18
2007
- 19Citations
- 21Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Este artículo describe, en forma de tutorial, una metodología integrada para la identificación y diseño de controladores comenzando con el modelado dinámico basado en datos de planta, y concluyendo con la sintonía de parámetros para controladores de tipo PID de elevadas prestaciones. Al integrar el paso de identificación con el diseño de controladores, el método logra demostrar una funcionalidad que es muy deseada por la comunidad de control industrial. Los pasos principales en esta metodología son: diseño experimental, estimación de modelos tipo ARX de alto orden, y reducción de modelos relevantes al control que están de acuerdo con leyes de sintonía IMC-PID. Cuando se utiliza una entrada de excitación persistente, el estimado del modelo ARX de alto orden es consistente, lo cual hace que el método sea atractivo como modelo intermedio para estimación de modelos de bajo orden relevantes al control. Además, el bajo esfuerzo computacional asociado con la estimación de modelos ARX significa que se pueden usar eficazmente métodos estadísticos sencillos (tales como la validación cruzada) para determinar una estructura adecuada para el modelo ARX sin mucha intervención por parte del usuario. La metodología se ilustra en el caso de una planta con retardo sujeta a una perturbación con elevada deriva.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1697791207702406; http://dx.doi.org/10.1016/s1697-7912(07)70240-6; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=38549146911&origin=inward; http://linkinghub.elsevier.com/retrieve/pii/S1697791207702406; http://api.elsevier.com/content/article/PII:S1697791207702406?httpAccept=text/xml; http://api.elsevier.com/content/article/PII:S1697791207702406?httpAccept=text/plain; http://dx.doi.org/10.1016/s1697-7912%2807%2970240-6; https://dx.doi.org/10.1016/s1697-7912%2807%2970240-6
Universitat Politecnica de Valencia
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know