Abstract
This chapter describes the development and application of an innovative virtual sensor. The application is explained following the example of an automated guided vehicle. The explanation covers the mathematical model, the experimental verification and the experimental results.
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References
Alessandri, A., Baglietto, M., Battistelli, G.: Design of state estimators for uncertain linear systems using quadratic boundedness. Automatica 42(3), 497–502 (2006)
Aouaouda, M., Chadli, S., Shi, P., Karimi, H.: Discrete-time H\(\_\) / H-inf sensor fault detection observer design for nonlinear systems with parameter uncertainty. Int. J. Robust Nonlin. Control. 25(3), 339–361 (2015)
Cai, J., Ferdowsi, H., Sarangapani, J.: Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems. Automatica 66, 122–131 (2016)
Ding, S.X.: Model-based Fault Diagnosis Techniques: Design Schemes. Algorithms and Tools. Springer, Berlin (2008)
Foo, G., Zhang, X., Vilathgamuwa, M.: A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended Kalman filter. IEEE Trans. Ind. Electron. 60(8), 3485–3495 (2013)
Kiencke, U., Nielsen, L.: Automotive Control Systems. Springer, Berlin (2000)
López-Estrada, F., Ponsart, J., Astorga-Zaragoza, C., Camas-Anzueto, J., Theilliol, D.: Robust sensor fault estimation for descriptor-lpv systems with unmeasurable gain scheduling functions: Application to an anaerobic bioreactor. Int. J. Appl. Math. Comput. Sci. 25(2), 233–244 (2015)
Ponsart, J.-C., Theilliol, D., Aubrun, C.: Virtual sensors design for active fault tolerant control system applied to a winding machine. Control. Eng. Pract. 18, 1037–1044 (2010)
Pourbabaee, B., Meskin, N., Khorasani, K.: Sensor fault detection, isolation, and identification using multiple-model-based hybrid Kalman filter for gas turbine engines. IEEE Trans. Control. Syst. Technol. 24(4), 1184–1200 (2016)
Pratama, P.S., Jeong, J.H., Jeong, S.K., Kim, H.K., Kim, H.S., Yeu, T.K., Hong, S., Kim, S.B.: Adaptive backstepping control design for trajectory tracking of automatic guided vehicles. In: AETA: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol. 371, 2016 (2015)
Rajamani, R., Phanomchoeng, G., Piyabongkarn, D., Lew, J.Y.: Algorithms for real-time estimation of individual wheel tire-road friction coefficients. IEEE/ASME Trans. Mechatron. 17(6), 1183–1195 (2012)
Schulze, L., Wullner, A.: The approach of automated guided vehicle systems. In: Proceedings of the IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI ’06)
Stetter, R., Paczynski, A.: Intelligent steering system for electrical power trains. In: Emobility Electrical Power Train. IEEEXplore, pp. 1–6. IEEE (2010)
Stetter, R., Witczak, M., Pazera, M.: Virtual diagnostic sensors design for an automated guided vehicle. Appl. Sci. 8(5) (2018)
Wictzak, M., Stetter, R., Buciakwoski, M., Theilliol, D.: Virtual diagnostic sensors design for an automated guided vehicle. In: Proceedings of the 10th SAFEPROCESS 2018: IFAC International Symposium on Fault Detection, Supervision and Safety for Technical Processes (2018)
Witczak, M.: Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems. Springer, Analytical and Soft Computing Approaches (2014)
Witczak, M., Buciakowski, M., Puig, V., Rotondo, D., Nejjari, F.: An LMI approach to robust fault estimation for a class of nonlinear systems. Int. J. Robust Nonlin, Control (2015)
Wu, S., Wu, Y., Chi, C.: Development and application analysis of AGVS in modern logistics. Revista de la Facultad de Ingeniera U.C.V., 32(5), 380–386 (2015)
Zhang, H.: Software Sensors and Their Applications in Bioprocess. Springer, Berlin/Heidelberg (2009)
Ziemniak, P., Stania, M., Stetter, R.: Mechatronics engineering on the example of an innovative production vehicle. In: Norell Bergendahl, Grimheden, M., Leifer, L., Skogstad, P., Lindemann, U. (Eds.) Proceedings of the 17th International Conference on Engineering Design (ICED’09), vol. 1, pp. 61–72 (2009)
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Stetter, R. (2020). Design of Virtual Diagnostic Sensors for an Automated Guided Vehicle . In: Fault-Tolerant Design and Control of Automated Vehicles and Processes. Studies in Systems, Decision and Control, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-030-12846-3_5
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DOI: https://doi.org/10.1007/978-3-030-12846-3_5
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