Abstract
For conventional ships, the mono-variable autopilot controls the heading of the ship in the presence of disturbances. During the heading control, there are many moments of time when the rudder command to control the yaw angle has a negative influence on roll oscillations. The prediction of the wave influence on the roll motion can be used to implement an intelligent heading control system, which is added to the mono-variable autopilot, generating only rudder commands with damping or non-increasing effects over roll movements. In this paper, aspects of roll angle and roll rate prediction using feed-forward neural networks are discussed. A neural network predictor of the roll rate, based on measured values of the roll angle, is proposed. The neural architecture is analyzed using different training data sets and noise conditions. The predictor has on-line adaptive characteristics and is working well even if both training and testing sets are affected by measurement noise.
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References
Fossen, T.I.: Guidance and Control of Ocean Vehicles. John Wiley and Sons, New York (1994)
Nicolau, V., Ceangă, E.: Wave Spectrum Correction with the Ship’s Speed and the Incidence Angle. In: IFAC Conf. CAMS, Glasgow, UK, pp. 331–336 (2001)
Blanke, M., Christensen, A.C.: Rudder-Roll Damping Autopilot Robustness to Sway-Yaw-Roll Couplings. In: Proc. of the 10th Int. SCSS’93, vol. A, Ottawa, Canada, pp. 93–119 (1993)
Hearns, G., Blanke, M.: Quantitative Analysis and Design of a Rudder Roll Damping Controller. In: Proc. of IFAC Conference CAMS’98, Fukuoka, Japan (1998)
Van Amerongen, J., van der Klugt, P.G.M., Van Nauta Lempke, H.: Rudder Roll Stabilization for Ships. Automatica AUT-26(4), 679–690 (1990)
Tzeng, C.Y., Wu, C.Y., Chu, Y.L.: A Sensitivity Function Approach to the Design of Rudder Roll Stabilization Controller. J. Marine Science and Tech. 9(2), 100–112 (2001)
Nicolau, V., Miholcă, C., Puşcaşu, G. Judele, S.: Rudder–Roll Damping Effect by Control of the Rudder Command Time Moments. In: IFAC Conference on Control Applications in Marine Systems (CAMS 2004) Ancona, Italy pp. 167–172 (2004)
Nicolau, V., Ceangă, E.: Fuzzy Rudder–Roll Damping System Based on Analysis of the Autopilot Commands. IFAC Conf. CAMS 2004 Ancona, Italy pp. 285–290 (2004)
Yang, S.-S., Tseng, C.-S.: An orthogonal neural network for function approximation. IEEE Trans. Syst. Man. Cybern. B 26, 779–783 (1996)
Leung, H., Haykin, S.: Rational function neural network. Neural Computing 5, 928–938 (1993)
Hornik, K.: Approximation capabilities of multilayer feedforward networks. Neural Networks 4, 251–257 (1991)
Leshno, M., Lin, V.Y., Pinkus, A., Schocken, S.: Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. Neural Networks 6, 861–867 (1993)
Leung, H., Lo, T., Wang, S.: Prediction of noisy chaotic time series using an optimal radial basis function neural network. IEEE Trans. on Neural Networks 12, 1163–1172 (2001)
Medeiros, M.C., Veiga, A.: A hybrid linear-neural model for time series forecasting. IEEE Trans. on Neural Networks 11(6), 1402–1412 (2000)
Ding, A.A.: Neural network prediction with noisy predictors. IEEE Trans. on Neural Networks 10(5), 1196–1203 (1999)
Reyhanoglu, M.: Control and stabilization of an underactuated surface vessel. In: Proc. of 35th Conf. Decision Control, Kobe, Japan, pp. 2371–2376 (1996)
Van der Klugt, P.G.M.: Rudder Roll Stabilization. Ph.D.Thesis. Delft University of Technology, The Netherlands (1987)
Nicolau, V.: The Influence of the Ship’s Steering Machine over Yaw and Roll Motions, Annals of Dunarea de Jos University of Galati, Fascicle III, Galati, pp. 76–81 (2003) ISSN 1221-454X
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Nicolau, V., Palade, V., Aiordachioaie, D., Miholca, C. (2007). Neural Network Prediction of the Roll Motion of a Ship for Intelligent Course Control. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_35
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DOI: https://doi.org/10.1007/978-3-540-74829-8_35
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