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Controlling period-doubling route to chaos phenomena of roll oscillations of a biased ship in regular sea waves

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Abstract

Dynamics, control, and stability of roll oscillations of a biased ship in regular sea waves are investigated. The ship under roll oscillation is modelled as the classical Helmholtz–Duffing oscillator with strongly nonlinear asymmetric restoring moment characteristics. The incremental harmonic balance method, amended with a pseudo-arc-length continuation approach, is employed to obtain the uncontrolled and controlled frequency responses. The primary and subharmonic responses of the uncontrolled system are examined through the period-doubling route to chaos path. The same ship roll model is then investigated under state feedback control with time delay. In the control scheme, a moving weight is actuated by the delay controller to generate the anti-rolling moment. The stability of periodic responses is studied using the semi-discretization method with extended Floquet theory. Bifurcation points on periodic response branches are identified from the eigenvalue study. The effect of gains and time delay in the feedback loop in controlling the primary and subharmonic responses is investigated. Several chaotic responses obtained through period-doubling route to chaos paths are successfully controlled. Stable, periodic, and steady-state solutions obtained from the IHB method are verified by numerical integration of the equation of motion as and when applicable. Solutions are aided with phase portrait, Poincaré map, time history, and Fourier spectrum for better clarity. It is shown that appropriate selections of control parameters can effectively reduce the roll amplitude to a great extent with the improved measure of stability.

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Data availability

The datasets generated and/or analysed during the current study are not publicly available due to its proprietary nature. Supporting data cannot be made openly available, but are available from the corresponding author on reasonable request.

References

  1. Perez, T., Blanke, M.: Ship roll damping control. Annu. Rev. Control 36, 129–147 (2012)

    Article  Google Scholar 

  2. Awad, T., Elgohary, M.A.E., Mohamed, T.E.: Ship roll damping via direct inverse neural network control system. Alex. Eng. J. 57(4), 2951–2960 (2018)

    Article  Google Scholar 

  3. Yin, J.C., Perakis, A.N., Wang, N.: A real-time ship roll motion prediction using wavelet transform and variable RBF network. Ocean Eng. 160, 10–19 (2018)

    Article  Google Scholar 

  4. Avalos, G.O.G., Wanderley, J.B.: Numerical study of forced roll oscillation of FPSO with bilge keel. Ocean Eng. 147, 304–317 (2018)

    Article  Google Scholar 

  5. Irkal, M.A., Nallayarasu, S., Bhattacharyya, S.K.: Numerical prediction of roll damping of ships with and without bilge keel. Ocean Eng. 179, 226–245 (2019)

    Article  Google Scholar 

  6. Jiang, Y., Ding, Y., Sun, Y., Shao, Y., Sun, L.: Influence of bilge-keel configuration on ship roll damping and roll response in waves. Ocean Eng. 216, 107539 (2020)

    Article  Google Scholar 

  7. Crossland, P.: The effect of roll-stabilisation controllers on warship operational performance. Control. Eng. Pract. 11(4), 423–431 (2003)

    Article  Google Scholar 

  8. Alarçin, F., Demirel, H., Su, M.E., Yurtseven, A.: Conventional PID and modified PID controller design for roll fin electro-hydraulic actuator. Acta Polytechnica Hungarica. 11(3), 233–248 (2014)

    Google Scholar 

  9. Li, R., Li, T., Bai, W., Du, X.: An adaptive neural network approach for ship roll stabilization via fin control. Neuro-Comput. 173, 953–957 (2016)

    Google Scholar 

  10. Jin, Z., Zhang, W., Liu, S., Gu, M.: Command-filtered backstepping integral sliding mode control with prescribed performance for ship roll stabilization. Appl. Sci. 9(20), 4288 (2019)

    Article  Google Scholar 

  11. Liang, L., Sun, M., Shi, H., Luan, T.: Design and analyze a new measuring lift device for fin stabilizers using stiffness matrix of Euler-Bernoulli beam. PLoS ONE 12(1), e0168972 (2017)

    Article  Google Scholar 

  12. Sun, M., Luan, T., Liang, L.: RBF neural network compensation-based adaptive control for lift-feedback system of ship fin stabilizers to improve anti-rolling effect. Ocean Eng. 163, 307–321 (2018)

    Article  Google Scholar 

  13. Perez, T., Mogens, B.: Ship roll damping control. Annu. Rev. Contr. 36(1), 129–147 (2012)

    Article  Google Scholar 

  14. Su, X., Gao, Y., Zhao, R.: Roll attitude controller design for ships at zero speed. Int. J. Fuzzy Syst. 20, 611–620 (2018)

    Article  MathSciNet  Google Scholar 

  15. Jiguang, S., Lihua, L., Songtao, Z., Jiming, W.: Design and experimental investigation of a GA-based control strategy for a low-speed fin stabilizer. Ocean Eng. 218, 108234 (2020)

    Article  Google Scholar 

  16. Marzouk, O.A., Nayfeh, A.H.: Control of ship roll using passive and active anti-roll tanks. Ocean Eng. 36, 661–671 (2009)

    Article  Google Scholar 

  17. Holden, C., Fossen, T.I.: A nonlinear 7-DOF model for U-tanks of arbitrary shape. Ocean Eng. 45, 22–37 (2012)

    Article  Google Scholar 

  18. Kapitanyuk, Y.A., Proskurnikov, A.V., Cao, M.: Optimal controllers for rudder roll damping with an autopilot in the loop. IFAC-PapersOnLine. 49(23), 562–567 (2016)

    Article  Google Scholar 

  19. Wang, Y.Y., Chai, S.H., Khan, F., Nguyen, H.D.: Unscented Kalman filter trained neural networks-based rudder roll stabilization system for ship in waves. Appl. Ocean Res. 68, 26–38 (2017)

    Article  Google Scholar 

  20. Fossen, T.I., Pettersen, K.Y., Galeazzi, R.: Line-of-sight Path following for Dubins Paths with adaptive sideslip compensation of drift forces. IEEE Trans. Contr. Syst. Technol. 23(2), 820–827 (2015)

    Article  Google Scholar 

  21. Zhang, J., Sun, T.R., Liu, Z.L.: Robust model predictive control for path-following of underactuated surface vessels with roll constraints. Ocean. Eng. 143, 125–132 (2017)

    Article  Google Scholar 

  22. Peng, Z.H., Wang, J.: Output-feedback path-following control of autonomous underwater vehicles based on an extended state observer and projection neural networks. IEEE Trans. Syst. Man Cybern. Syst.. 48(4), 535–544 (2018)

    Article  Google Scholar 

  23. Liu, C., Li, C., Li, W.: Computationally efficient MPC for path following of underactuated marine vessels using projection neural network. Neural Comput. Appl. 32(11), 7455–7464 (2020)

    Article  Google Scholar 

  24. Yan, Z., Zhang, X., Zhu, H., Li, Z.: Course-keeping control for ships with nonlinear feedback and zero-order holder component. Ocean Eng. 209, 107461 (2020)

    Article  Google Scholar 

  25. Nayfeh, A.H., Khdeir, A.A.: Nonlinear rolling of ships in regular beam seas. Int. Slip Build. Progress. 33, 379–394 (1986)

    Google Scholar 

  26. Szemplinska-stupnicka, W.: Secondary resonances and approximate models of routes to chaotic motion in nonlinear oscillators. J. Sound Vib. 113, 155–172 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  27. Thompson, J.M.T.: Designing against capsize in beam seas: recent advances and new insights. Appl. Mech. Rev. 50, 307–327 (1997)

    Article  Google Scholar 

  28. Bhattacharya, R.: Dynamics of Marine Vehicles, pp. 1–12. Wiley, New Jersey (1978)

    Google Scholar 

  29. Wassermann, S., Feder, D.F., Abdel-Maksoud, M.: Estimation of ship roll damping—A comparison of the decay and the harmonic excited roll motion technique for a post panamax container ship. Ocean Eng. 120, 371–382 (2016)

    Article  Google Scholar 

  30. Chatterjee, S.: Vibration control by recursive time delayed acceleration feedback. J. Sound Vib. 317, 67–90 (2008)

    Article  Google Scholar 

  31. Yusuf, A., Inc, M., Aliyu, A.I.: Conservation laws, soliton-like and stability analysis for the time fractional dispersive long-wave equation. Adv. Differ. Equ. 319, 1024 (2018)

    MathSciNet  MATH  Google Scholar 

  32. Mitra, R.K., Banik, A.K., Chatterjee, S.: State feedback control of surge oscillations of two-point mooring system. J. Sound Vib. 386, 1–20 (2017)

    Article  Google Scholar 

  33. Mitra, R.K., Banik, A.K., Chatterjee, S.: Response of a harmonically forced dry friction damped system under time-delayed state feedback. J. Computat. Nonlinear Dyn. ASME 13, 031001–031011 (2018)

    Article  Google Scholar 

  34. Narayanan, S.: Nonlinear dynamics of a two-dimensional airfoil by incremental harmonic balance method. J. Sound Vib. 226(3), 493–517 (1999)

    Article  Google Scholar 

  35. Mitra, R.K., Banik, A.K., Datta, T.K., Chatterjee, S.: Nonlinear roll oscillation of semisubmersible system and its control. Int. J. Non-Linear Mech. 107, 42–55 (2018)

    Article  Google Scholar 

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Correspondence to Ranjan Kumar Mitra.

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Appendix A: root locus plots

Appendix A: root locus plots

Close-loop transfer function from Eq. (2) is written as

$$ \frac{G\left( s \right)}{{1 + G\left( s \right)H\left( s \right)}} = \frac{1}{{s^{2} + 1 - \left( {g_{d} + sg_{v} } \right)e^{{ - s\tau_{d} }} }}. $$
(A.1)

The close-loop control system is shown in Fig. 26.

Fig. 26
figure 26

Close-loop control system

Since \(G(s)=1/({s}^{2}+1)\), the open loop transfer function is expressed by

$$ G\left( s \right)H\left( s \right) = - \frac{1}{{s^{2} + 1}}\left( {g_{d} + sg_{v} } \right)e^{{ - s\tau_{d} }} . $$
(A.2)

Since

$$ e^{{ - s\tau_{d} }} \approx \frac{{1 - s\tau_{d} }}{{1 + s\tau_{d} }}, $$
(A.3)
$$ G\left( s \right)H\left( s \right) = g_{d} \frac{{\left\{ {\left( {g_{v} /g_{d} } \right)\tau_{d} } \right\}s^{2} + \left\{ {\tau_{d} - \left( {g_{v} /g_{d} } \right)} \right\}s - 1}}{{\tau_{d} s^{3} + s^{2} + \tau_{d} s + 1}}, $$
(A.4)
$$ = \left( { - g_{v} } \right)\frac{{\left( { - \tau_{d} } \right)s^{2} + \left\{ {1 - \left( {g_{d} /g_{v} } \right)\tau_{d} } \right\}s + \left( {g_{d} /g_{v} } \right)}}{{\tau_{d} s^{3} + 2s^{2} + \tau_{d} s + 1}}. $$
(A.5)

For \({g}_{v}=0\) (or \({g}_{v}/{g}_{d}=0\)), and \({\tau }_{d}=0.1\), the root locus plot (refer Eq. A.4) of positive displacement feedback is shown in Fig. 27.

Fig. 27
figure 27

Root locus plot under positive displacement feedback with time delay τd = 0.1

For \({g}_{d}=0\) (or \({g}_{d}/{g}_{v}=0),\) and \({\tau }_{d}=0.1\), the root locus plot (refer Eq. A.5) of the negative velocity feedback is shown in Fig. 28.

Fig. 28
figure 28

Root locus plot under negative displacement feedback with time delay τd = 0.1

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Kumar, R., Mitra, R.K. Controlling period-doubling route to chaos phenomena of roll oscillations of a biased ship in regular sea waves. Nonlinear Dyn 111, 13889–13918 (2023). https://doi.org/10.1007/s11071-023-08605-5

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