Modelo de sistema multisensor con enfoque de muestreo multifrecuencia
DOI:
https://doi.org/10.32870/recibe.v10i1.163Keywords:
Esquemas de muestreo, modelo sistemas multifrecuencia, multisensor, simulación.Abstract
En la fase temprana de diseño de un multisensor están las especificaciones funcionales que establecen el comportamiento sus señales, donde es importante analizar la influencia de los tiempos de muestreo en el despliegue temporal entre los datos de entrada y salida disponibles del multisensor, como del enlace de comunicación que pudieran utilizar. Por tanto, en este trabajo se desarrolla un modelo de sistema multisensor considerando múltiples señales con periodos de muestreo que pueden ser diferentes del proceso y datos de estado, incluyendo la limitación temporal del enlace de comunicación. El sistema consta de los componentes: multisensor y estación base. Además, se desarrolló un modelo de simulación en Scilab/Xcos para ejercitar diferentes escenarios. El modelo ofrece un perfil temporal de la secuencia de datos sensoriales bajo diferentes esquemas de muestreo, permitiendo presentar la evolución de las señales con pérdidas o ausencias de muestras, las cuales al ser tratadas sistemáticamente con operadores multifrecuencia y funciones de interpolación para su reconstrucción, conducen a resultados utilizables para la abstracción del mundo real. Finalmente, la efectividad del modelo se ilustra mediante simulaciones numéricas.References
Akyildiz, I. F. y Kasimoglu, I. H. (2004). Wireless Sensor and Actor Networks: Research Challenges. Ad Hoc Networks Journal, 2(4), 351-367. https://doi.org/10.1016/j.adhoc.2004.04.003
Albertos, P. y Salt, J. (2011). Non-Uniform Sampled-Data Control of Mimo Systems. Annual Reviews in Control, 35(1), 65–76. https://doi.org/10.1016/j.arcontrol.2011.03.004
Aranda-Escolástico, E., Salt, J., Guinaldo, M., Chacón, J. y Dormido, S. (2018). Optimal Control for Aperiodic Dual-Rate Systems With Time-Varying Delays. Sensors (Basel, Switzerland), 18(5), 1-19. Article 1491. https://dx.doi.org/10.3390/s18051491
Bamieh, B. y Pearson, J.B. (1991). A lifting technique for linear periodic systems with applications to sampled-data control. Systems & Control Letters, 17(2), 79–88. https://doi.org/10.1016/0167-6911(91)90033-B
Chapra, S. y Canale, R. (2015). Métodos Numéricos para Ingenieros (7ª ed.). Mcgraw-Hill/Interamericana Editores, S.A. de C.V.
Cimino, M. y Pagilla, P. R. (2010). Design of linear time-invariant controllers for multirate systems. Automatica, 46, 1315-1319.
Coffey, T. C. y Williams, I. J. (1966). Stability Analysis of Multiloop, Multirate Sampled Systems. Journal of Guidance, Control, and Dynamics, 4(12), 2178–2190. https://doi.org/10.2514/3.3874
Crochiere, R. E. y Rabiner, L. R. (1981). Interpolation and decimation of digital signals—A tutorial review. Proceedings of the IEEE, 69(3), 300-331. https://doi.org/10.1109/PROC.1981.11969
Deb Majumder, B., Roy, J. K. y Padhee, S. (2019). Recent Advances in Multifunctional Sensing Technology on a Perspective of Multi-Sensor System: A Review. IEEE Sensors Journal, 19(4), 1204-1214. https://doi.org/10.1109/JSEN.2018.2882239
Ding, F., Qiu, L. y Chen, T. (2009). Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems. Automatica, 45(2), 324 – 332.
https://doi.org/10.1016/j.automatica.2008.08.007
Dorf, R. C. y Bishop, R. H. (2016). Modern Control Systems (13th ed.). Pearson Education Limited.
Ghosal, M. y Rao, V. (2019). Fusion of Multirate Measurements for Nonlinear Dynamic State Estimation of the Power Systems. IEEE Transactions on Smart Grid, 10(1), 216-226.
https://doi.org/10.1109/TSG.2017.2737359
Glasson, D. P. (1983). Development and Applications of Multirate Digital Control. IEEE Control Systems Magazine, 3(4), 2-8. https://doi.org/10.1109/MCS.1983.1104772
Godbout, L. F., Jordan, D. y Apostolakis, I. S. (1990) Closed-loop model for general multirate digital control systems. IEE Proceedings D - Control Theory and Applications, 137(5), 329-336. https://doi.org/10.1049/ip-d.1990.0043
Goyal, R. y Dhingra, M. (2019). Programming in Scilab. Alpha Science.
Ha, S. y Teich, J. (Ed). (2017). Handbook of Hardware/Software Codesign. Springer Science+Business Media. https://doi.org/10.1007/978-94-017-7267-9
ISO/IEC/IEEE. (2010a). ISO/IEC/IEEE 21451-1: 2010. Information technology -- Smart transducer interface for sensors and actuators -- Part 1: Network Capable Application Processor (NCAP) information model. http://doi.org/10.1109/IEEESTD.2010.5668469
ISO/IEC/IEEE. (2010b). ISO/IEC/IEEE 21450: 2010. Information technology -- Smart transducer interface for sensors and actuators. Common functions, communication protocols, and Transducer Electronic Data Sheet (TEDS) formats. https://doi.org/10.1109/IEEESTD.2010.5668466
Jia, X., Ma, W., Yang, F. y Zhang, D. (2017). Matching mechanism for networked control systems with multirate sampling. Institution of Engineering & Technology Control Theory & Applications, 11(16), 2848-2857. https://doi.org/10.1049/iet-cta.2017.0039
Kakarla J., Majhi, B. y Battula, R. B. (2015). "Comparative Analysis of Routing Protocols in Wireless Sensor–Actor Networks: A Review". International Journal of Wireless Information Networks, 22, 220–239. https://doi.org/10.1007/s10776-015-0271-2
Kordestani, M., Dehghani, M., Moshiri, B. y Saif, M. (2020). A New Fusion Estimation Method for Multi-Rate Multi-Sensor Systems With Missing Measurements. IEEE Access, 8, 47522-47532. https://doi.org/10.1109/ACCESS.2020.2979222
Kranc, G. (1957). Input-output Analysis of Multirate Feedback Systems. Institute of Radio Engineers Transactions Automatic Control, 3(1), 21–28. https://doi.org/10.1109/TAC.1957.1104783
Laszlo, C. y Zhexembayeva, N. (2011). Embedded Sustainability. The Next Big Competitive Advantage. Stanford University Press. https://doi.org/10.4324/9781351278324
Lathi, B. P. y Green, R. A. (2019). Essentials of Digital Signal Processing. Cambridge University Press.
Liu, Y., Peng, Y., Wang, B. L., Yao, S. R. y Liu, Z. H. (2017). Review on Cyber-physical Systems. IEEE/CAA Journal of Automatica Sinica, 4(1), 27-40. https://doi.org/10.1109/JAS.2017.7510349
Meinsma, G. y Mirkin, L. (2010a). Sampling from a system-theoretic viewpoint: part I concepts and tools. IEEE Transactions on Signal Processing, 58(7), 3578–359. https://doi.org/10.1109/TSP.2010.2047641
Meinsma, G. y Mirkin, L. (2010b). Sampling from a system-theoretic viewpoint: Part II - Noncausal solutions. IEEE transactions on signal processing, 58(7), 3591-3606.
https://doi.org/10.1109/TSP.2010.2047642
Muangprathuba, J., Boonnam, N., Kajornkasirata, S., Lekbangpong, N., Wanichsombata, A. y Nillaor, P. (2019). IoT and Agriculture Data Analysis for Smart Farm. Computers and Electronics in Agriculture, 156, 467-474. https://doi.org/10.1016/j.compag.2018.12.011
Nwe, M. S. y Tun, H. M. (2017). Implementation of Multisensor Data Fusion Algorithm. International Journal of Sensors and Sensor Networks, 5(4), 48–53. https://doi.org/10.11648/j.ijssn.20170504.11
Oppenheim, A. V., Willsky, A. S. y Hamid Nawab, S. (2013). Signals and Systems: Pearson New International Edition (2nd ed.). Pearson Education Limited.
Pradilla J., Esteve, M. y Palau, C. (2018). SOSFul: Sensor Observation Service (SOS) for Internet of Things (IoT). IEEE Latin American Transactions, 16(4), 1276-1283. https://doi.org/10.1109/TLA.2018.8362168
Roehm, H., Oehlerking, J., Woehrle, M. y Althoff, M. (2019). Model Conformance for Cyber-physical Systems: A Survey. ACM Transactions on Cyber-Physical Systems, 3(3), Article 30, 26p. https://doi.org/10.1145/3306157
Salt J. y Albertos P. (2005). Model-based Multirate Controllers Desing. IEEE Transactions on Control Systems Tecnology, 13(6), 988-997. https://doi.org/10.1109/TCST.2005.857410
Salt, J., Casanova, V., Cuenca, A. y Pizá, R. (2008). Sistemas de Control Basados en Red. Modelado y Diseño de Estructuras de Control. Revista Iberoamericana de Automática e Informática Industrial, 5(3), 5-20. https://polipapers.upv.es/index.php/RIAI/article/view/8290
Salt, J., Cuenca, A., Palau, F. y Dormido, S. (2014). Multirate Control Strategy to the Slow Sensors Problem: An Interactive Simulation Tool for Controller Assisted Design. Sensors, 3, 4086-4110. https://doi.org/10.3390/s140304086
Scilab. (2020). Scilab (Versión 6.1.0) [Software de Análisis Numérico Computacional, Código Abierto en Línea]. Engineering System International Group. https://www.scilab.org/
Tan, L. y Jiang, J. (2018). Digital Signal Processing: Fundamentals and Applications (3rd ed.). Elsevier Science Publishing.
Teich, J. (2012). Hardware/Software Codesign: The Past, the Present, and Predicting the Future. Proceeding of the IEEE, 100, 1411-1430. https://doi.org/10.1109/JPROC.2011.2182009
Thompson, P. M. (1985). Gain and Phase Margins of Multirate Sampled-Data Feedback Systems. International Journal of Control. 44(3), 833-846. https://doi.org/10.1080/00207178608933635
Yan, L., Li, X. R., Xia Y. y Fu M. (2015). Modeling and estimation of asynchronous multirate multisensor system with unreliable measurements. IEEE Transactions on Aerospace and Electronic Systems, 51(3), 2012-2026. https://doi.org/10.1109/TAES.2015.140462.
Zhang, D., Bai, W. y Jia, X. (2015). Periodic Switched Control of Dual-Rate Sampled-Data Systems. Mathematical Problems in Engineering, 2015, Article ID 515232.
http://dx.doi.org/10.1155/2015/515232
Zhu, Q., Lu, K. Zhu, Y. y Xie, G. (2016). Modelling and State Feedback Control of Multi-Rate Networked Control Systems with Both Short Time Delay and Packet Dropout. International Journal of Innovative Computing, Information and Control, 12(3), 779-793. https://doi.org/10.24507/ijicic.12.03.779
