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A Spatial Repetitive Controller Applied to an Aeroelastic Model for Wind Turbines
Authors: Riccardo Fratini, Riccardo Santini, Jacopo Serafini, Massimo Gennaretti, Stefano Panzieri
Abstract:
This paper presents a nonlinear differential model, for a three-bladed horizontal axis wind turbine (HAWT) suited for control applications. It is based on a 8-dofs, lumped parameters structural dynamics coupled with a quasi-steady sectional aerodynamics. In particular, using the Euler-Lagrange Equation (Energetic Variation approach), the authors derive, and successively validate, such model. For the derivation of the aerodynamic model, the Greenbergs theory, an extension of the theory proposed by Theodorsen to the case of thin airfoils undergoing pulsating flows, is used. Specifically, in this work, the authors restricted that theory under the hypothesis of low perturbation reduced frequency k, which causes the lift deficiency function C(k) to be real and equal to 1. Furthermore, the expressions of the aerodynamic loads are obtained using the quasi-steady strip theory (Hodges and Ormiston), as a function of the chordwise and normal components of relative velocity between flow and airfoil Ut, Up, their derivatives, and section angular velocity ε˙. For the validation of the proposed model, the authors carried out open and closed-loop simulations of a 5 MW HAWT, characterized by radius R =61.5 m and by mean chord c = 3 m, with a nominal angular velocity Ωn = 1.266rad/sec. The first analysis performed is the steady state solution, where a uniform wind Vw = 11.4 m/s is considered and a collective pitch angle θ = 0.88◦ is imposed. During this step, the authors noticed that the proposed model is intrinsically periodic due to the effect of the wind and of the gravitational force. In order to reject this periodic trend in the model dynamics, the authors propose a collective repetitive control algorithm coupled with a PD controller. In particular, when the reference command to be tracked and/or the disturbance to be rejected are periodic signals with a fixed period, the repetitive control strategies can be applied due to their high precision, simple implementation and little performance dependency on system parameters. The functional scheme of a repetitive controller is quite simple and, given a periodic reference command, is composed of a control block Crc(s) usually added to an existing feedback control system. The control block contains and a free time-delay system eτs in a positive feedback loop, and a low-pass filter q(s). It should be noticed that, while the time delay term reduces the stability margin, on the other hand the low pass filter is added to ensure stability. It is worth noting that, in this work, the authors propose a phase shifting for the controller and the delay system has been modified as e^(−(T−γk)), where T is the period of the signal and γk is a phase shifting of k samples of the same periodic signal. It should be noticed that, the phase shifting technique is particularly useful in non-minimum phase systems, such as flexible structures. In fact, using the phase shifting, the iterative algorithm could reach the convergence also at high frequencies. Notice that, in our case study, the shifting of k samples depends both on the rotor angular velocity Ω and on the rotor azimuth angle Ψ: we refer to this controller as a spatial repetitive controller. The collective repetitive controller has also been coupled with a C(s) = PD(s), in order to dampen oscillations of the blades. The performance of the spatial repetitive controller is compared with an industrial PI controller. In particular, starting from wind speed velocity Vw = 11.4 m/s the controller is asked to maintain the nominal angular velocity Ωn = 1.266rad/s after an instantaneous increase of wind speed (Vw = 15 m/s). Then, a purely periodic external disturbance is introduced in order to stress the capabilities of the repetitive controller. The results of the simulations show that, contrary to a simple PI controller, the spatial repetitive-PD controller has the capability to reject both external disturbances and periodic trend in the model dynamics. Finally, the nominal value of the angular velocity is reached, in accordance with results obtained with commercial software for a turbine of the same type.Keywords: Wind turbines, aeroelasticity, repetitive control, periodic systems.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126750
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[1] F. D. Bianchi, H. De Battista, and R. J. Mantz, Wind turbine control systems: principles, modelling and gain scheduling design. Springer Science & Business Media, 2006.
[2] J. Leishman, “Challenges in modeling the unsteady aerodynamics of wind turbines,” 2002.
[3] M. Carrin, R. Steijl, M. Woodgate, G. Barakos, X. Munduate, and S. Gomez-Iradi, “Aeroelastic analysis of wind turbines using a tightly coupled cfd-csd method,” Journal of Fluids and Structures, vol. 50, pp. 392–415, 2014.
[4] D. Yu and O. Kwon, “Predicting wind turbine blade loads and aeroelastic response using a coupled cfd-csd method,” Renewable Energy, vol. 70, pp. 184–196, 2014.
[5] M. Gennaretti and G. Bernardini, “Novel boundary integral formulation for blade-vortex interaction aerodynamics of helicopter rotors,” AIAA Journal, vol. 45, no. 6, pp. 1169–1176, 2007.
[6] L. Greco, R. Muscari, C. Testa, and A. Di Mascio, “Marine propellers performance and flow-field prediction by a free-wake panel method,” Journal of Hydrodynamics, vol. 26, no. 5, pp. 780–795, 2014.
[7] M. C. M. G. L. Calabretta, A and M. Gennaretti, “Assessment of a comprehensive aeroelastic tool for horizontal-axis wind turbine rotor analysis,” in press.
[8] C. Bottasso, A. Croce, B. Savini, W. Sirchi, and L. Trainelli, “Aero-servo-elastic modeling and control of wind turbines using finite-element multibody procedures,” Multibody System Dynamics, vol. 16, no. 3, pp. 291–308, 2006.
[9] D. Schlipf, D. Schlipf, and M. Khn, “Nonlinear model predictive control of wind turbines using lidar,” Wind Energy, vol. 16, no. 7, pp. 1107–1129, 2013.
[10] J. Mullen and J. Hoagg, “Wind turbine torque control for unsteady wind speeds using approximate-angular-acceleration feedback,” 2013.
[11] E. Bossanyi, P. Fleming, and A. Wright, “Field test results with individual pitch control on the nrel cart3 wind turbine,” 2012.
[12] E. Bossanyi, “Individual blade pitch control for load reduction,” Wind Energy, vol. 6, no. 2, pp. 119–128, 2003.
[13] V. Rezaei and K. Johnson, “Robust fault tolerant pitch control of wind turbines,” 2013.
[14] S. Gros, “An economic nmpc formulation for wind turbine control,” 2013.
[15] J. Friis, E. Nielsen, J. Bonding, F. Adegas, J. Stoustrup, and P. Odgaard, “Repetitive model predictive approach to individual pitch control of wind turbines,” in Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on, Dec 2011.
[16] H. Hosseini and M. Kalantar, “Repetitive control scheme for an ecs to improve power quality of grid connected wind farms using svm,” in Smart Grids (ICSG), 2012 2nd Iranian Conference on, May 2012.
[17] I. Houtzager, J. W. van Wingerden, and M. Verhaegen, “Rejection of periodic wind disturbances on a smart rotor test section using lifted repetitive control,” IEEE Transactions on Control Systems Technology, vol. 21, no. 2, pp. 347–359, March 2013.
[18] J. M. Greenberg, “Airfoil in sinusoidal motion in a pulsating stream,” 1947.
[19] T. Theodorsen, “General theory of aerodynamic instability and the mechanism of flutter,” 1949.
[20] D. Hodges and R. ORMISTON, “Stability of elastic bending and torsion of uniform cantilevered rotor blades in hover,” in 14th Structures, Structural Dynamics, and Materials Conference, 1973, p. 405.
[21] D. A. Spera, “Wind turbine technology,” 1994.
[22] J. H. Laks, L. Y. Pao, and A. D. Wright, “Control of wind turbines: Past, present, and future,” in American Control Conference, 2009. ACC’09. IEEE, 2009, pp. 2096–2103.
[23] J. Ringwood and S. Simani, “Overview of modelling and control strategies for wind turbines and wave energy devices: Comparisons and contrasts,” Annual Reviews in Control, vol. 40, pp. 27–49, 2015.
[24] T. Y. Doh and J. Ryoo, “Robust repetitive controller design and its application on the track-following control system in optical disk drives,” in Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on, Dec 2011.
[25] L. Cuiyan, Z. Dongchun, and Z. Xianyi, “Theory and applications of the repetitive control,” in SICE 2004 Annual Conference, vol. 1, 2004.
[26] S. Hara, Y. Yamamoto, T. Omata, and M. Nakano, “Repetitive control system: a new type servo system for periodic exogenous signals,” IEEE Transactions on Automatic Control, vol. 33, no. 7, pp. 659–668, Jul 1988.
[27] M. Poloni and G. Ulivi, “Iterative trajectory tracking for flexible arms with approximate models,” in Advanced Robotics, 1991. ’Robots in Unstructured Environments’, 91 ICAR., Fifth International Conference on, June 1991.
[28] A. Carozzi, A. Fioretti, M. Poloni, F. Nicolo, and G. Ulivi, “Implementation of a tracking learning controller for an industrial manipulator,” in Control Applications, 1993., Second IEEE Conference on, Sep 1993.
[29] S. Panzieri and G. Ulivi, “Disturbance rejection of iterative learning control applied to trajectory tracking for a flexible manipulator,” in European Control Conf. (ECC 1995), Roma, Italy, September 1995.
[30] P. Lucibello, S. Panzieri, and F. Pascucci, “Suboptimal output regulation of robotic manipulators by iterative learning,” in 11th Int. Conf. on Advanced Robotics, 2003, iLC.
[31] Y.-H. Yang and C.-L. Chen, “Spatially periodic disturbance rejection using spatial-based output feedback adaptive backstepping repetitive control,” 2008.
[32] C.-L. Chen, G.-C. Chiu, and J. Allebach, “Robust spatial-sampling controller design for banding reduction in electrophotographic process,” Journal of Imaging Science and Technology, vol. 50, no. 6, pp. 530–536, 2006.
[33] B. Mahawan and Z.-H. Luo, “Repetitive control of tracking systems with time-varying periodic references,” International Journal of Control, vol. 73, no. 1, pp. 1–10, 2000.
[34] M. Nakano, J.-H. She, Y. Mastuo, and T. Hino, “Elimination of position-dependent disturbances in constant-speed-rotation control systems,” Control Engineering Practice, vol. 4, no. 9, pp. 1241–1248, 1996.
[35] J. M. Jonkman and M. L. Buhl Jr, “Fast users guide,” National Renewable Energy Laboratory, Golden, CO, Technical Report No. NREL/EL-500-38230, 2005.