Abstract
The effect of the time delay in the actuation of the different agents of a fuzzy attitude control system for a nanosatellite is evaluated in this work. Previously a controller based on fuzzy logic and optimized by genetic algorithms had been designed. In that control system some components were idealized, that is, it was supposed that the system knew its real orientation at every moment, the controller commanded the orders instantaneously and the actuators responded to them immediately. However, the sensors take some time, called delay, to measure the attitude of the satellite and send it to the processor, the processor takes some time to order new actuations and the actuators also need some time to fulfill the order. The objective of this work is to evaluate how these delays affect the controller performance and to redesign the controller if necessary, by taking into account the effect of the delays in the control algorithms design.
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References
Harland, D.M., Lorenz, R.D.D.: Space Systems Failures. Praxis, Chichester (2005)
Sidi, M.J.: Spacecraft Dynamics and Control: A practical Engineering Approach. Cambridge University Press, Cambridge (2000)
Gadelha de Souza, L.C.: Design of satellite control system using optimal nonlinear theory. Mech. Based Des. Struc. Mach. 34(4), 351–364 (2006)
Ortega, G.: Fuzzy logic techniques for rendezvous and docking of two geostationary satellites. Telematics Inform. 12(3–4), 213–227 (1995)
Steyn, W.H.: Comparison of low-earth-orbit satellite attitude controllers submitted to controllability constraints. J. Guid. Control Dyn. 17(4), 795–804 (1994)
Nagi, F., Ahmed, S., Abidin, A., Nordin, F.: Fuzzy bang-bang relay controller for satellite attitude control system. Fuzzy Sets Syst. 161, 2104–2125 (2010)
Guana, P., Liub, X.-J., Liub, J.-Z.: Adaptive fuzzy sliding mode control for flexible satellite. Eng. Appl. Artif. Intel. 18, 451–459 (2005)
Walker, A.R., Putman, P.T., Cohen, K.: Solely magnetic genetic/fuzzy-attitude-control algorithm for a CubeSat. J. Spacecr. Rockets 52(6), 1627–1639 (2015)
Cheng, C., Shu, S., Cheng, P.: Attitude control of a satellite using fuzzy controllers. Expert Syst. Appl. 36, 6613–6620 (2009)
Zou, A., Dev Kumar, K., Hou, Z.: Quaternion-based adaptive output feedback attitude control of spacecraft using chebyshev neural networks. IEE Trans. Neural Networks 21(9), 1457–1471 (2010)
Fazlyab, A.R., Saberi, F.F., Kabganian, M.: Adaptive attitude controller for a satellite based on neural network in the presence of unknown external disturbances and actuator faults. Adv. Space Res. 57(1), 367–377 (2016)
Yadava, D., Hosangadi, R., Krishna, S., Paliwal, P., Jain, A.: Attitude control of a nanosatellite system using reinforcement learning and neural networks. In: Proceedings of the 2018 IEEE Aerospace Conference, pp. 1–7. IEEE, USA (2018)
Calvo, D., Avilés, T., Lapuerta, V., Laverón-Simavilla, A.: Fuzzy attitude control for a nanosatellite in Low Earth Orbit. Expert Syst. Appl. 58, 102–118 (2016)
Calvo, D., Bello, A., Lapuerta, V., Laverón-Simavilla, A.: Comparison of fuzzy and PID controllers for the attitude control of nanosatellites. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Intelligent Systems and Applications. Advances in Intelligent Systems and Computing, vol. 869, pp. 1062–1081. Springer, Cham (2019)
Del Castañedo, A., Calvo, D., Bello, A., Lapuerta, V.: Optimization of fuzzy attitude control for nanosatellites. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Intelligent Systems and Applications. Advances in Intelligent Systems and Computing, vol. 869, pp. 970–990. Springer, Cham (2019)
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del Castañedo, Á., Bello, Á., Olfe, K., Lapuerta, V. (2020). Effect of the Delay in Fuzzy Attitude Control for Nanosatellites. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_73
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DOI: https://doi.org/10.1007/978-3-030-29516-5_73
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