Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional
En el presente documento se muestra el proceso de sintonización de los parámetros de un control PID que regule el voltaje de salida en un convertidor DC-DC Bidireccional. Se realiza una investigación sobre métodos implementados para la sintonización automática de controladores PID y se buscan distin...
- Autores:
-
Callejas Lopez, Alvaro David
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/52382
- Acceso en línea:
- http://hdl.handle.net/11634/52382
- Palabra clave:
- Algorithm
DC-DC Converter
PID
Clonal selection
Bioinspired
Ingeniería Electrónica
Algoritmo
Programación Informática
Algoritmo
Bioinspirado
Convertidor DC-DC
PID
Selección Clonal
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 2.5 Colombia
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Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| title |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| spellingShingle |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional Algorithm DC-DC Converter PID Clonal selection Bioinspired Ingeniería Electrónica Algoritmo Programación Informática Algoritmo Bioinspirado Convertidor DC-DC PID Selección Clonal |
| title_short |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| title_full |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| title_fullStr |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| title_full_unstemmed |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| title_sort |
Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional |
| dc.creator.fl_str_mv |
Callejas Lopez, Alvaro David |
| dc.contributor.advisor.none.fl_str_mv |
Mojica Casallas, Carlos Javier |
| dc.contributor.author.none.fl_str_mv |
Callejas Lopez, Alvaro David |
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https://orcid.org/0000-0002-3757-9410 |
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https://scholar.google.com/citations?hl=es&user=r9kpTz0AAAAJ |
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https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000639214 |
| dc.contributor.corporatename.spa.fl_str_mv |
Universidad Santo Tomás |
| dc.subject.keyword.spa.fl_str_mv |
Algorithm DC-DC Converter PID Clonal selection Bioinspired |
| topic |
Algorithm DC-DC Converter PID Clonal selection Bioinspired Ingeniería Electrónica Algoritmo Programación Informática Algoritmo Bioinspirado Convertidor DC-DC PID Selección Clonal |
| dc.subject.lemb.spa.fl_str_mv |
Ingeniería Electrónica Algoritmo Programación Informática |
| dc.subject.proposal.spa.fl_str_mv |
Algoritmo Bioinspirado Convertidor DC-DC PID Selección Clonal |
| description |
En el presente documento se muestra el proceso de sintonización de los parámetros de un control PID que regule el voltaje de salida en un convertidor DC-DC Bidireccional. Se realiza una investigación sobre métodos implementados para la sintonización automática de controladores PID y se buscan distintos tipos de algoritmos Bioinspirados que permitan dar una solución al problema. Se realizan simulaciones para poner en práctica el algoritmo inmune artificial que se basa en la selección clonal y que se ejecuta junto a la planta en el programa de MATLAB y Simulink, para la sintonización de los dos modos operación del convertidor DC-DC Bidireccional. En el algoritmo implementado, las ganancias del controlador PID son representadas como la población de antígenos. Se propone escoger una población inicial de 30 antígenos que toman un valor preliminar entre un rango de cero a uno. La función objetivo a minimizar está representada por el error cuadrático de su sobrepaso máximo, tiempo de establecimiento y del error de estado de estacionario que se obtienen del voltaje de salida. La población obtenida por el algoritmo logra minimizar el error para cada operación, por lo que se realiza la comprobación de las ganancias conseguidas en un prototipo de la planta. |
| publishDate |
2023 |
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2023-09-25T22:49:36Z |
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2023-09-25T22:49:36Z |
| dc.date.issued.none.fl_str_mv |
2023-09-25 |
| dc.type.local.spa.fl_str_mv |
Trabajo de grado |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_7a1f |
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info:eu-repo/semantics/bachelorThesis |
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http://purl.org/coar/resource_type/c_7a1f |
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acceptedVersion |
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Callejas López, A. D. (2023). Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional. |
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http://hdl.handle.net/11634/52382 |
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reponame:Repositorio Institucional Universidad Santo Tomás |
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instname:Universidad Santo Tomás |
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repourl:https://repository.usta.edu.co |
| identifier_str_mv |
Callejas López, A. D. (2023). Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional. reponame:Repositorio Institucional Universidad Santo Tomás instname:Universidad Santo Tomás repourl:https://repository.usta.edu.co |
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http://hdl.handle.net/11634/52382 |
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spa |
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S. Mumtaz, S. Ali, S. Ahmad, L. Khan, S. Z. Hassan, and T. Kamal, “Energy management and control of plug-in hybrid electric vehicle charging stations in a grid-connected hybrid power system,” Energies, vol. 10, no. 11, 2017. W. A. Shutnan and T. Y. Abdalla, “Artificial immune system based optimal fractional order pid control scheme for path tracking of robot manipulator,” in 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA), pp. 19–24, 2018. Q. Meng and T. Liu, “Study on immune pid control method of an in-wheel motor used in an electric car,” in 2017 36th Chinese Control Conference (CCC), pp. 9554–9559, 2017. R. Ferreiro Garcia and F. Perez Castelo, “Fuzzy adaptive pid controller using frequency techniques,” in 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), vol. 4, pp. 2581–2585 vol.4, 1996. P. M. Meshram and R. G. Kanojiya, “Tuning of pid controller using ziegler-nichols method for speed control of dc motor,” in IEEE- International Conference On Advances In Engineering, Science And Management (ICAESM -2012), pp. 117–122, 2012. H. Yazgan, F. Yener, S. Soysal, and A. G ̈ur, “Comparison performances of pso and ga to tuning pid controller for the dc motor,” Sakarya University Journal of Science, pp. 1–1, 04 2019. A. Saleem, H. Soliman, S. al ratrout, and M. Mesbah, “Design of a fractional order pid controller with application to an induction motor drive,” TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, vol. 26, pp. 2768–2778, 09 2018. J. Portillo, M. Marcos, and D. Orive, “Auto-tuner: Tuning commercial pid controllers on demand in industrial environments,” in 1999 European Control Conference (ECC), pp. 747–752, 1999. P. S. Malik, S. S. Gawas, I. A. Patel, N. P. Parsekar, A. A. Parab, and S. S. Parkar, “Transient response improvement of dc to dc converter by using auto-tuned pid controller,” in 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 546–549, 2018. R. Bhimte, K. Bhole, and P. Shah, “Fractional order fuzzy pid controller for a rotary servo system,” in 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 538–542, 2018. J. Ghaisari, M. Danesh, and N. Naderi Samani, “Parallel parking of a car-like mobile robot based on the p-domain path tracking controllers,” IET Control Theory & Applications, vol. 10, 02 2016. L. Fan and E. M. Joo, “Design for auto-tuning pid controller based on genetic algorithms,” in 2009 4th IEEE Conference on Industrial Electronics and Applications, pp. 1924–1928, 2009. L. R. Dos Santos, F. R. Durand, A. Goedtel, and T. Abrao, “Auto-tuning pid distributed power control for next-generation passive optical networks,” Journal of Optical Communications and Networking, vol. 10, no. 10, pp. D110–D125, 2018. G. Kasilingam and J. Pasupuleti, “Auto tuning of pid controller of a synchronous machine connected to a linear and non linear load,” in 2014 IEEE International Conference on Power and Energy (PECon), pp. 71–76, 2014. M. Katoh and A. Fujiwara, “Auto tuning on robust parameters of a pid controller for a 2nd-order adjusted system with one changeable parameter,” in SICE Annual Conference 2007, pp. 1624–1630, 2007. A. K. Sukede and J. Arora, “Auto tuning of pid controller,” in 2015 International Conference on Industrial Instrumentation and Control (ICIC), pp. 1459–1462, 2015. X.-Y. Liu, Y.-P. Li, S.-X. Yan, and X.-S. Feng, “Adaptive attitude controller design of autonomous underwater vehicle focus on decoupling,” in 2017 IEEE Underwater Technology (UT), pp. 1–7, 2017. Y. Olmez, G. O. Koca, and Z. H. Akpolat, “Clonal selection algorithm based control for two-wheeled self-balancing mobile robot,” Simulation Modelling Practice and Theory, vol. 118, 2022. S. F. Toha, A. F. A. Rahim, H. Mansor, and R. Akmeliawati, “Pid tuned artificial immune system hover control for lab-scaled helicopter system,” in 2015 10th Asian Control Conference (ASCC), pp. 1–4, 2015. D. H. Kim and J. H. Cho, “Robust tuning for disturbance rejection of pid controller using evolutionary algorithm,” in IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS ’04., vol. 1, pp. 248–253 Vol.1, 2004. D.-H. Yu, Y.-X. Wang, and Y. B. Kim, “Robust control for bi- directional dc/dc converter for increase of battery state of charge,” in 2013 CACS International Automatic Control Conference (CACS), pp. 527–531, 2013. R. P. Eviningsih, R. I. Putri, M. Pujiantara, A. Priyadi, and M. H. Purnomo, “Controlled bidirectional converter using pid for charging battery in the stand-alone wind turbine system with modified p amp;o to obtain mppt,” in 2017 International Conference on Green Energy and Applications (ICGEA), pp. 69–73, 2017. R. Das and M. A. UddinChowdhury, “Pi controlled bi-directional dc-dc converter (bdddc) and highly efficient boost converter for electric vehicles,” in 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pp. 1–5, 2016. R. Das, H. Rashid, and I. U. Ahmed, “A comparative analysis of pi and pid controlled bidirectional dc-dc converter with conventional bidirectional dc-dc converter,” in 2017 3rd International Conference on Electrical Information and Communication Technology (EICT), pp. 1–6, 2017. H. Riazmontazer, J. Moghani, M. Taheri, and H. Bayat, “Averaged modeling of a new bi-directional dc-dc converter,” in 2011 2nd Power Electronics, Drive Systems and Technologies Conference, pp. 574–580, 2011. J. Aguila-Leon, C. Vargas-Salgado, C. Chi ̃nas-Palacios, and D. D ́ıaz- Bello, “Solar photovoltaic maximum power point tracking controller optimization using grey wolf optimizer: A performance comparison between bio-inspired and traditional algorithms,” Expert Systems with Applications, vol. 211, 2023. K. P. Vittal, S. Bhanja, and A. Keshri, “Comparative study of pi, pid controller for buck-boost converter tuned by bio-inspired optimization techniques,” pp. 219–224, Institute of Electrical and Electronics Engineers Inc., 2021. E. D. P. Puchta, H. V. Siqueira, and M. D. S. Kaster, “Optimization tools based on metaheuristics for performance enhancement in a gaussian adaptive pid controller,” IEEE Transactions on Cybernetics, vol. 50, pp. 1185–1194, 3 2020. B. Popadic, B. Dumnic, D. Milicevic, V. Katic, and Z. Corba, “Tuning methods for pi controller - comparison on a highly modular drive,” 2013. K. K. Mishra, S. Tiwari, and A. K. Misra, “A bio inspired algorithm for solving optimization problems,” pp. 653–659, 2011. Z. Tang, “Comparison between hierarchical distributed evolutionary algorithms and general distributed evolutionary algorithms,” pp. 2158–2161, Institute of Electrical and Electronics Engineers Inc., 2013. R. Jangra and R. Kait, “Analysis and comparison among ant system; ant colony system and max-min ant system with different parameters setting,” Institute of Electrical and Electronics Engineers Inc., 7 2017. K. Loubna, B. Bachir, and Z. Izeddine, “Optimal digital iir filter design using ant colony optimization,” pp. 1–5, Institute of Electrical and Electronics Engineers Inc., 5 2018. M. Anantathanavit and M. A. Munlin, “Radius particle swarm optimization,” pp. 126–130, 2013. C. D. Investigaci ́on, E. N. Computaci ́on, J. Carlos, H. Lozada, F. Hiram, C. Castro, D. Hind, and T. M ́exico, “Instituto polit ́Ecnico nacional sistema inmune artificial con poblaci ́on reducida para optimizaci ́on num ́erica,” 2011. L. C. Payo, “Implementaci ́on de algoritmo de scan-matching basado en clonalg,” 7 2015. |
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Mojica Casallas, Carlos JavierCallejas Lopez, Alvaro Davidhttps://orcid.org/0000-0002-3757-9410https://scholar.google.com/citations?hl=es&user=r9kpTz0AAAAJhttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000639214Universidad Santo Tomás2023-09-25T22:49:36Z2023-09-25T22:49:36Z2023-09-25Callejas López, A. D. (2023). Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC Bidireccional. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.http://hdl.handle.net/11634/52382reponame:Repositorio Institucional Universidad Santo Tomásinstname:Universidad Santo Tomásrepourl:https://repository.usta.edu.coEn el presente documento se muestra el proceso de sintonización de los parámetros de un control PID que regule el voltaje de salida en un convertidor DC-DC Bidireccional. Se realiza una investigación sobre métodos implementados para la sintonización automática de controladores PID y se buscan distintos tipos de algoritmos Bioinspirados que permitan dar una solución al problema. Se realizan simulaciones para poner en práctica el algoritmo inmune artificial que se basa en la selección clonal y que se ejecuta junto a la planta en el programa de MATLAB y Simulink, para la sintonización de los dos modos operación del convertidor DC-DC Bidireccional. En el algoritmo implementado, las ganancias del controlador PID son representadas como la población de antígenos. Se propone escoger una población inicial de 30 antígenos que toman un valor preliminar entre un rango de cero a uno. La función objetivo a minimizar está representada por el error cuadrático de su sobrepaso máximo, tiempo de establecimiento y del error de estado de estacionario que se obtienen del voltaje de salida. La población obtenida por el algoritmo logra minimizar el error para cada operación, por lo que se realiza la comprobación de las ganancias conseguidas en un prototipo de la planta.This document shows the process of tuning the parameters of a PID control that regulates the output voltage in a Bidirectional DC-DC converter. An investigation is carried out on methods implemented for the automatic tuning of PID controllers and different types of Bioinspired algorithms are sought to provide a solution to the problem. Simulations are carried out to put into practice the artificial immune algorithm that is based on clonal selection and that is executed together with the plant in the MATLAB and Simulink program, for tuning the two operating modes of the Bidirectional DC-DC converter. In the implemented algorithm, the gains of the PID controller are represented as the population of antigens. It is proposed to choose an initial population of 30 antigens that take a preliminary value between a range of zero to one. The objective function to be minimized is represented by the squared error of its maximum overshoot, establishment time and steady state error obtained from the output voltage. The population obtained by the algorithm manages to minimize the error for each operation, so the verification of the gains achieved in a prototype of the plant is carried out.Ingeniero ElectronicoPregradoapplication/pdfspaUniversidad Santo TomásPregrado Ingeniería ElectrónicaFacultad de Ingeniería ElectrónicaAtribución-NoComercial-SinDerivadas 2.5 Colombiahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Sintonización Automática de Controlador PID Implementando un Algoritmo Bioinspirado para un Convertidor DC-DC BidireccionalAlgorithmDC-DC ConverterPIDClonal selectionBioinspiredIngeniería ElectrónicaAlgoritmoProgramación InformáticaAlgoritmoBioinspiradoConvertidor DC-DCPIDSelección ClonalTrabajo de gradoinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisCRAI-USTA BogotáS. Mumtaz, S. Ali, S. Ahmad, L. Khan, S. Z. Hassan, and T. Kamal, “Energy management and control of plug-in hybrid electric vehicle charging stations in a grid-connected hybrid power system,” Energies, vol. 10, no. 11, 2017.W. A. Shutnan and T. Y. Abdalla, “Artificial immune system based optimal fractional order pid control scheme for path tracking of robot manipulator,” in 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA), pp. 19–24, 2018.Q. Meng and T. Liu, “Study on immune pid control method of an in-wheel motor used in an electric car,” in 2017 36th Chinese Control Conference (CCC), pp. 9554–9559, 2017.R. Ferreiro Garcia and F. Perez Castelo, “Fuzzy adaptive pid controller using frequency techniques,” in 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), vol. 4, pp. 2581–2585 vol.4, 1996.P. M. Meshram and R. G. Kanojiya, “Tuning of pid controller using ziegler-nichols method for speed control of dc motor,” in IEEE- International Conference On Advances In Engineering, Science And Management (ICAESM -2012), pp. 117–122, 2012.H. Yazgan, F. Yener, S. Soysal, and A. G ̈ur, “Comparison performances of pso and ga to tuning pid controller for the dc motor,” Sakarya University Journal of Science, pp. 1–1, 04 2019.A. Saleem, H. Soliman, S. al ratrout, and M. Mesbah, “Design of a fractional order pid controller with application to an induction motor drive,” TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, vol. 26, pp. 2768–2778, 09 2018.J. Portillo, M. Marcos, and D. Orive, “Auto-tuner: Tuning commercial pid controllers on demand in industrial environments,” in 1999 European Control Conference (ECC), pp. 747–752, 1999.P. S. Malik, S. S. Gawas, I. A. Patel, N. P. Parsekar, A. A. Parab, and S. S. Parkar, “Transient response improvement of dc to dc converter by using auto-tuned pid controller,” in 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 546–549, 2018.R. Bhimte, K. Bhole, and P. Shah, “Fractional order fuzzy pid controller for a rotary servo system,” in 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 538–542, 2018.J. Ghaisari, M. Danesh, and N. Naderi Samani, “Parallel parking of a car-like mobile robot based on the p-domain path tracking controllers,” IET Control Theory & Applications, vol. 10, 02 2016.L. Fan and E. M. Joo, “Design for auto-tuning pid controller based on genetic algorithms,” in 2009 4th IEEE Conference on Industrial Electronics and Applications, pp. 1924–1928, 2009.L. R. Dos Santos, F. R. Durand, A. Goedtel, and T. Abrao, “Auto-tuning pid distributed power control for next-generation passive optical networks,” Journal of Optical Communications and Networking, vol. 10, no. 10, pp. D110–D125, 2018.G. Kasilingam and J. Pasupuleti, “Auto tuning of pid controller of a synchronous machine connected to a linear and non linear load,” in 2014 IEEE International Conference on Power and Energy (PECon), pp. 71–76, 2014.M. Katoh and A. Fujiwara, “Auto tuning on robust parameters of a pid controller for a 2nd-order adjusted system with one changeable parameter,” in SICE Annual Conference 2007, pp. 1624–1630, 2007.A. K. Sukede and J. Arora, “Auto tuning of pid controller,” in 2015 International Conference on Industrial Instrumentation and Control (ICIC), pp. 1459–1462, 2015.X.-Y. Liu, Y.-P. Li, S.-X. Yan, and X.-S. Feng, “Adaptive attitude controller design of autonomous underwater vehicle focus on decoupling,” in 2017 IEEE Underwater Technology (UT), pp. 1–7, 2017.Y. Olmez, G. O. Koca, and Z. H. Akpolat, “Clonal selection algorithm based control for two-wheeled self-balancing mobile robot,” Simulation Modelling Practice and Theory, vol. 118, 2022.S. F. Toha, A. F. A. Rahim, H. Mansor, and R. Akmeliawati, “Pid tuned artificial immune system hover control for lab-scaled helicopter system,” in 2015 10th Asian Control Conference (ASCC), pp. 1–4, 2015.D. H. Kim and J. H. Cho, “Robust tuning for disturbance rejection of pid controller using evolutionary algorithm,” in IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS ’04., vol. 1, pp. 248–253 Vol.1, 2004.D.-H. Yu, Y.-X. Wang, and Y. B. Kim, “Robust control for bi- directional dc/dc converter for increase of battery state of charge,” in 2013 CACS International Automatic Control Conference (CACS), pp. 527–531, 2013.R. P. Eviningsih, R. I. Putri, M. Pujiantara, A. Priyadi, and M. H. 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