Stabilization of Floating Roll by Fuzzy PID Controller Using New Concept of Internal Model
محورهای موضوعی : Electrical Engineering
Mohamad Hosein Daniarzadeh
1
(Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Iran.)
کلید واژه: Feedback linearization, ship movement, disturbance removal,
چکیده مقاله :
In this paper, the nonlinear modeling of ship roll angle movement in the presence of disturbances and its control through an adaptive method is investigated. One of the important issues in the control of vessels is to have a model of non-linear behavior, by using the dynamic equations of the ship's motion, the ship's roll motion equations is obtained in Third order dynamic equations. Another innovation presented in this paper is the design of a controller based on the input-output feedback linearization method and according to the proportional-integrator and derivative controller, which coefficients are adjusted by fuzzy logic to reject and reduce the sinusoidal disturbance effects. Therefore, another innovation of this paper is to minimize the effects of sinusoidal disturbance fluctuations in the roll angle of the ship in addition to achieving a zero degree roll angle. The results of the proposed method have been evaluated in MATLAB software and despite sinusoidal disturbances with a certain range, the proposed method has made the roll angle stable within an acceptable range and its effects on the roll angle of the ship have been eliminated.
[1] T. Perez, M. Blanke, “Ship roll damping control,” IEE Proceedings on Control Theory and Applications. Rev. Control, 2012.
[2] C.-H. Chung, M.-S. Chen, “A robust adaptive feedforward control in repetitive control design for linear systems,” Automatica 48 (1), pp. 183–190, 2012.
[3] I. Houtzager, J.-W. van Wingerden, M. Verhaegen, “Rejection of periodic wind disturbances on a smart rotor test section using lifted repetitive control,” IEEE Trans. Control Syst. Technol. 21 (2) pp. 347–359, 2013.
[4] G. Fedele, A. Ferrise, D. Frascino, “Multi-sinusoidal signal estimation by an adaptive SOGI-filters bank,” IFAC Symposium on System Identification, pp. 402–407, 2008.
[5] F. Alarçin, H. Demirel, M. Ertugrul Su, and A. Yurtseven, “Modified pid control design for roll fin actuator of nonlinear modelling of the fishing boat,” Polish Marit. Res., 2014.
[6] C. Holden, R. Galeazzi, T. I. Fossen, T. Perez, “Stabilization of parametric roll resonance with active u-tanks via Lyapunov control design,” International Journal of Adaptive Control and Signal Processing, 2018.
[7] R. Skjetne,. N. Smogeli, T. I. Fossen, “A Nonlinear Ship Manoeuvering Model: Identification and adaptive control with experiments for a model ship,” Model. Identif. Control, 2004.
[8] M. H. Moradi. M. R. Katebi, “Predictive PID Control for Ship Autopilot Design,” IFAC Proc. vol. 48, 2017.
[9] L. Liang, P. Zhao, S. Zhang, “Roll reduction control during ship turns using fin stabilizers with PID controller based on Monte Carlo optimization,” IEEE Trans. Control Syst, vol. 35, pp. 48–55, 2018.
[10] J. Pan and Y. Wang, “Internal model based active disturbance rejection control,” in Proceedings of the American Control Conference, vol. 2016-July, pp. 6989–6994, 2016.
[11] M. Moradi, H. Malekizade, “Robust adaptive first-secondorder sliding mode Control to stabilize the uncertain fin- roll dynamic,” Ocean Eng. 69, 18-23, 2014.
[12] P. Yang, J. Ma, W. Sun, L. H. Liang, and G. Bin Li, “Simulation and research of the fuzzy sliding mode controller of the ship test bed,” in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. pp. 457–462, 2017.
[13] J. M. Larrazabal and M. S. Peñas, “Intelligent rudder control of an unmanned surface vessel,” Expert Syst. Appl., vol. 55, pp. 106–117, 2016.
[14] K. J. Burnham, A. J. Koshkouei, and Y. Law, “A comparative study between sliding mode and proportional integrative derivative controllers for ship roll stabilisation,” IET Control Theory Appl., 2007.
[15] C. C. De Wit, H. Olsson, K. J. Astrom, and P. Lischinsky, “A newmodel for control of systems with friction,” Automatic Control, IEEE Trans on, vol. 40, no. 3, pp. 419–425, 1995.
[16] F. Zhang, E. Keikha, B. Shahsavari, and R. Horowitz, “Adaptivemismatch compensation for vibratory gyroscopes,” in Inertial Sensorsand Systems (ISISS), 2014 International Symposium on. IEEE,pp. 1–4, 2014.
[17] C. E., Kinney, R. A. de Callafon. "The internal model principle for periodic disturbances with rapidly time-varying frequencies." International Journal of Adaptive Control and Signal Processing, pp. 1006-1022, 2017.
