Abstract
In case of flooding, the underwater flight vehicle (UFV) usually executes the emergency blowing by blowing ballast tanks off using high pressure air (HPA) while it also uses control planes and a propulsion unit to reduce the overshoot depth caused by a flooding and blowing sequence. However, the conventional whole HPA blow-off method lets the body on the surface after blowing despite a slight flooding. This results in the unnecessary mission failure or body exposure. Therefore, it is necessary to keep the body at the near surface by the blowing control while reducing the overshoot depth. To solve this problem, an intelligent blowing controller (IBC) using expert knowledge and the fuzzy basis function expansion (FBFE) is proposed here. To verify the performance of the proposed controller, the blowing control of UFV is performed. Simulation results show that the proposed algorithm effectively solves the problems in the UFV blowing control system online.
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References
Antonelli, G.: Underwater robots. Springer (2006)
Lea, R.K., Allen, R., Merry, S.L.: A comparative study for control techniques for an underwater flight vehicle. International Journal of System Science 30, 947–964 (1999)
DeBitetto, P.A.: Fuzzy logic for depth control of unmanned undersea vehicles. IEEE Journal of Oceanic Engineering 20(3), 242–248 (1995)
Xu, M., Smith, S.M.: Fuzzy rule based depth controller for variable ballast system of autonomous underwater vehicles. In: Proceedings of the 2005 Systems and Information Engineering Design Symposium, vol. 30, pp. 947–964 (1999)
Jalving, B.: The NDRE-AUV flight control system. IEEE Journal of Oceanic Engineering 19(4), 497–501 (1994)
Cristi, R., Papoulias, F.A., Healey, A.J.: Adaptive sliding mode control of autonomous underwater vehicles in the dive plane. IEEE Journal of Oceanic Engineering 15(3), 152–160 (1990)
Liceaga-Castro, E., van der Molen, G.M.: A Submarine depth control system design. International Journal of Control 61(3), 279–308 (1995)
Kim, H.S., Shin, Y.K.: Expanded adaptive fuzzy sliding mode controller using expert knowledge and fuzzy basis function expansion for UFV depth control. Ocean Engineering 34, 1080–1088 (2007)
Yuh, J.: Modeling and control of underwater robotic vehicles. IEEE Transactions on Man and Cybernetics 20(6), 1475–1483 (1990)
Gertler, M., Hagen, G.R.: Standard equation of motion for submarine simulation. Naval Ship Research and Development Center Report 2510 (1967)
Lino, P., Maione, B., Amorese, C.: Modelling and predictive control of a new injection system for compressed natural gas engines. Control Engineering Practice 16, 1216–1230 (2008)
Zucrow, M., Hoffman, J.: Gas dynamics. Wiley, New York (1976)
Leondes, C.T.: Fuzzy theory systems. Academic Press (1999)
Takagi, T., Sugeno, M.: Fuzzy identification of system and its applications to modeling and control. IEEE Transactions on Man and Cybernetics SMC-15, 116–132 (1985)
Kim, H.S.: Adaptive blowing control algorithm for autonomous control of underwater flight vehicle. Journal of Fuzzy and Intelligent Systems 18(4), 482–487 (2008)
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Kim, HS. (2013). Intelligent Blowing Controller for Autonomous Underwater Flight Vehicle. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_78
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DOI: https://doi.org/10.1007/978-3-642-37374-9_78
Publisher Name: Springer, Berlin, Heidelberg
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