A synthesis of feasible control methods for floating offshore wind turbine system dynamics
暂无分享,去创建一个
Ryozo Nagamune | Zhiyu Jiang | Fantai Meng | Kamran Ali Shah | Ye Li | Yarong Zhou | Zhengru Ren | R. Nagamune | Ye Li | Zhiyu Jiang | Z. Ren | Fantai Meng | K. Shah | Yarong Zhou
[1] Hamid Reza Karimi,et al. Output-Feedback-Based $H_{\infty}$ Control for Vehicle Suspension Systems With Control Delay , 2014, IEEE Transactions on Industrial Electronics.
[2] Lindert Blonk,et al. Description of an 8 MW reference wind turbine , 2016 .
[3] R. Kavasseri,et al. Day-ahead wind speed forecasting using f-ARIMA models , 2009 .
[4] K. Dai,et al. Environmental issues associated with wind energy – A review , 2015 .
[5] Makarand Deo,et al. Real time wave forecasting using neural networks , 1998 .
[6] Erasmo Cadenas,et al. Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model , 2010 .
[7] R. Scattolini,et al. Modeling and control of a floating wind turbine with spar buoy platform , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).
[8] Tongguang Wang,et al. Foundations of offshore wind turbines: A review , 2019, Renewable & Sustainable Energy Reviews.
[9] Shuzhi Sam Ge,et al. Adaptive Control of a Flexible Crane System With the Boundary Output Constraint , 2014, IEEE Transactions on Industrial Electronics.
[10] H. Mori,et al. Application of Gaussian Process to wind speed forecasting for wind power generation , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.
[11] Ye Li,et al. Progress of recent research and development in floating offshore wind turbines , 2016 .
[12] John K. Kaldellis,et al. Shifting towards offshore wind energy—Recent activity and future development , 2013 .
[13] Billie F. Spencer,et al. Controlling Buildings: A New Frontier in Feedback , 1998 .
[14] Michael B. Kane. Machine Learning Control for Floating Offshore Wind Turbine Individual Blade Pitch Control , 2020, 2020 American Control Conference (ACC).
[15] B. F. Spencer,et al. STATE OF THE ART OF STRUCTURAL CONTROL , 2003 .
[16] Honghai Liu,et al. Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach , 2013, IEEE Transactions on Industrial Electronics.
[17] David Schlipf,et al. Nonlinear model predictive control of floating wind turbines , 2013 .
[18] Martin Kühn,et al. Very short-term forecast of near-coastal flow using scanning lidars , 2018, Wind Energy Science.
[19] C. W. Tong,et al. RETRACTED ARTICLE: Application of extreme learning machine for estimation of wind speed distribution , 2016, Climate Dynamics.
[20] Steven L. Brunton,et al. Generalizing Koopman Theory to Allow for Inputs and Control , 2016, SIAM J. Appl. Dyn. Syst..
[21] Dennis Y.C. Leung,et al. Wind energy development and its environmental impact: A review , 2012 .
[22] Haiyan Lu,et al. Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model , 2012 .
[23] Alan Wright,et al. Adding feedforward blade pitch control to standard feedback controllers for load mitigation in wind turbines , 2011 .
[24] Karl Stol,et al. Individual blade pitch control of floating offshore wind turbines , 2010 .
[25] Sander M. Calisal,et al. Numerical simulation of ship maneuverability in wind and current, with escort tugs , 2005 .
[26] David Schlipf,et al. Control design methods for floating wind turbines for optimal disturbance rejection , 2016 .
[27] Jing Shi,et al. On comparing three artificial neural networks for wind speed forecasting , 2010 .
[28] Yaoyu Li,et al. Stabilization of floating offshore wind turbines by artificial muscle based active mooring line force control , 2016, 2016 American Control Conference (ACC).
[29] Huijun Gao,et al. Load Mitigation for a Floating Wind Turbine via Generalized H∞ Structural Control , 2016, IEEE Trans. Ind. Electron..
[30] Enrico Zio,et al. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer , 2021, Appl. Soft Comput..
[31] Dezhi Ning,et al. Development of a constraint non-causal wave energy control algorithm based on artificial intelligence , 2020 .
[32] Hui Liu,et al. Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms , 2015 .
[33] R. Al-Dabbagh,et al. Wind energy state of the art: present and future technology advancements , 2020, Renewable Energy and Environmental Sustainability.
[34] Ye Li,et al. Adaptive Trajectory Tracking Control of a Cable-Driven Underwater Vehicle on a Tension Leg Platform , 2019, IEEE Access.
[35] Mario A. Rotea,et al. Active Structural Control with Actuator Dynamics on a Floating Wind Turbine , 2013 .
[36] Shervin Motamedi,et al. Extreme learning machine approach for sensorless wind speed estimation , 2016 .
[37] Dipankar Deb,et al. A Review of Wind Speed and Wind Power Forecasting Techniques , 2020, ArXiv.
[38] Alan Wright,et al. Combining Standard Feedback Controllers with Feedforward Blade Pitch Control for Load Mitigation in Wind Turbines , 2010 .
[39] Ryozo Nagamune,et al. Switching LPV Control of a Floating Offshore Wind Turbine on a Semi-Submersible Platform* , 2019, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE).
[40] Maurizio Collu,et al. Offshore floating vertical axis wind turbines, dynamics modelling state of the art. Part III: hydrodynamics and coupled modelling approaches , 2015 .
[41] Jin-Hak Yi,et al. Numerical investigation on effects of rotor control strategy and wind data on optimal wind turbine blade shape , 2014 .
[42] Yi-Hsiang Yu,et al. PRELIMINARY RESULTS OF A RANS SIMULATION FOR A FLOATING POINT ABSORBER WAVE ENERGY SYSTEM UNDER EXTREME WAVE CONDITIONS , 2011 .
[43] Robert Seifried,et al. Reduced nonlinear model of a spar-mounted floating wind turbine , 2012 .
[44] David Schlipf,et al. Parametric Wave Excitation Model for Floating Wind Turbines , 2016 .
[45] S. Brunton,et al. Discovering governing equations from data by sparse identification of nonlinear dynamical systems , 2015, Proceedings of the National Academy of Sciences.
[46] Jan-Willem van Wingerden,et al. Integrating robust lidar-based feedforward with feedback control to enhance speed regulation of floating wind turbines , 2015, 2015 American Control Conference (ACC).
[47] Murat İhsan Kömürcü,et al. Prediction of wave parameters by using fuzzy inference system and the parametric models along the south coasts of the Black Sea , 2014 .
[48] Yang Bai,et al. Convolutional Neural Network based power generation prediction of wave energy converter , 2018, 2018 24th International Conference on Automation and Computing (ICAC).
[49] P. Schmid,et al. Dynamic mode decomposition of numerical and experimental data , 2008, Journal of Fluid Mechanics.
[50] Alan Wright,et al. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based lidar scanner , 2014 .
[51] T. Sadeghifar,et al. Coastal Wave Height Prediction using Recurrent Neural Networks (RNNs) in the South Caspian Sea , 2017 .
[52] Neil Kelley,et al. Analysis of Wind Speed Measurements using Continuous Wave LIDAR for Wind Turbine Control y , 2011 .
[53] Matthew Lackner,et al. Offshore Wind Turbine Load Reduction Employing Optimal Passive Tuned Mass Damping Systems , 2013, IEEE Transactions on Control Systems Technology.
[54] Liang Li,et al. Wave Force Prediction Effect on the Energy Absorption of a Wave Energy Converter With Real-Time Control , 2019, IEEE Transactions on Sustainable Energy.
[55] Cheolung Cheong,et al. Pitch motion mitigation of spar-type floating substructure for offshore wind turbine using multilayer tuned liquid damper , 2016 .
[56] Mohamed Mohandes,et al. Support vector machines for wind speed prediction , 2004 .
[57] Karl Stol,et al. Performance analysis of individual blade pitch control of offshore wind turbines on two floating platforms , 2011 .
[58] Torben J. Larsen,et al. A method to avoid negative damped low frequent tower vibrations for a floating, pitch controlled wind turbine , 2007 .
[59] Lucy Y. Pao,et al. Collective pitch feedforward control of floating wind turbines using lidar , 2015 .
[60] Haiyan Lu,et al. A case study on a hybrid wind speed forecasting method using BP neural network , 2011, Knowl. Based Syst..
[61] Mario A. Rotea,et al. Structural control of floating wind turbines , 2011 .
[62] Nikola Vasiljevic,et al. Minute-Scale Wind Speed Forecasting Using Scanning Lidar Inflow Measurements , 2018 .
[63] Jason Jonkman,et al. Dynamics Modeling and Loads Analysis of an Offshore Floating Wind Turbine , 2007 .
[64] Ioannis B. Theocharis,et al. Locally recurrent neural networks for long-term wind speed and power prediction , 2006, Neurocomputing.
[65] Po-Wen Cheng,et al. Nonlinear model predictive control of floating wind turbines with individual pitch control , 2014, 2014 American Control Conference.
[66] Ryozo Nagamune,et al. Physics-Based 3-D Control-Oriented Modeling of Floating Wind Turbines , 2018, IEEE Transactions on Control Systems Technology.
[67] S. Haver,et al. Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty , 2019, Ocean Engineering.
[68] Ryozo Nagamune,et al. Gain-scheduling control of a floating offshore wind turbine above rated wind speed , 2015 .
[69] J. Bidlot,et al. Forecasting ocean wave energy: The ECMWF wave model and time series methods , 2011 .
[70] Kan Xu,et al. Improved line-of-sight trajectory tracking control of under-actuated AUV subjects to ocean currents and input saturation , 2019, Ocean Engineering.
[71] Jing Shi,et al. Fine tuning support vector machines for short-term wind speed forecasting , 2011 .
[72] Ye Li,et al. Extended Environmental Contour Methods for Long-Term Extreme Response Analysis of Offshore Wind Turbines1 , 2020 .
[73] Zhuo Wang,et al. From model-based control to data-driven control: Survey, classification and perspective , 2013, Inf. Sci..
[74] David Schlipf,et al. Nonlinear model predictive control of wind turbines using LIDAR , 2013 .
[75] O Hugues-Salas,et al. Wind turbine control applications of turbine-mounted LIDAR , 2014 .
[76] Jianzhou Wang,et al. A self-adaptive hybrid approach for wind speed forecasting , 2015 .
[77] Gerd Tetzlaff,et al. Wind Speed Forecasting from 1 to 30 Minutes , 1998 .
[78] Roberto Horowitz,et al. Nonlinear Control of Floating Offshore Wind Turbines Using Input/Output Feedback Linearization and Sliding Control , 2014 .
[79] Matthew A. Lackner,et al. Smart Novel Semi-Active Tuned Mass Damper for Fixed-Bottom and Floating Offshore Wind , 2016 .
[80] Michael Z. Q. Chen,et al. Passive structural control with inerters for a floating offshore wind turbine , 2017, 2017 36th Chinese Control Conference (CCC).
[81] J. Torres,et al. Forecast of hourly average wind speed with ARMA models in Navarre (Spain) , 2005 .
[82] C. Sanchez,et al. Wind and wave disturbance rejection control of floating offshore wind turbines , 2018 .
[84] Ajit Achuthan,et al. Recursive wind speed forecasting based on Hammerstein Auto-Regressive model , 2015 .
[85] Ainuddin Wahid Abdul Wahab,et al. An appraisal of wind speed distribution prediction by soft computing methodologies: A comparative study , 2014 .
[86] Mohammad Masoomi. Model Development and Load Analysis of an Offshore Wind Turbine , 2014 .
[87] Zhengru Ren,et al. Offshore wind turbine operations and maintenance: A state-of-the-art review , 2021, Renewable and Sustainable Energy Reviews.
[88] Athanasios Sfetsos,et al. A novel approach for the forecasting of mean hourly wind speed time series , 2002 .
[89] Chermelle Engel,et al. Operational Consensus Forecasts , 2005 .
[90] Finn Gunnar Nielsen,et al. Importance of Control Strategies on Fatigue Life of Floating Wind Turbines , 2007 .
[91] Eric M. Aldrich,et al. Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center , 2006 .
[92] Marcello Farina,et al. Development of a Control-Oriented Model of Floating Wind Turbines , 2014, IEEE Transactions on Control Systems Technology.
[93] Diana J. M. Greenslade,et al. Consensus of Numerical Model Forecasts of Significant Wave Heights , 2007 .
[94] Gong Li,et al. Applications of Bayesian methods in wind energy conversion systems , 2012 .
[95] L. Henriksen,et al. The DTU 10-MW Reference Wind Turbine , 2013 .
[96] Francesco Fusco,et al. Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters , 2010, IEEE Transactions on Sustainable Energy.
[97] T. Mikkelsen. Lidar-based Research and Innovation at DTU Wind Energy – a Review , 2014 .
[98] Matthew A. Lackner,et al. Controlling Platform Motions and Reducing Blade Loads for Floating Wind Turbines , 2009 .
[99] Yu Ma,et al. Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation , 2018, Renewable Energy.
[100] Eric C. Kerrigan,et al. Short-term ocean wave forecasting using an autoregressive moving average model , 2016, 2016 UKACC 11th International Conference on Control (CONTROL).
[101] Hazim Namik,et al. Individual Blade Pitch Control of a Spar-Buoy Floating Wind Turbine , 2014, IEEE Transactions on Control Systems Technology.
[102] Lucy Y. Pao,et al. Importance of lidar measurement timing accuracy for wind turbine control , 2014, 2014 American Control Conference.
[103] Rifat Hacioglu,et al. Prediction of wind speed with non-linear autoregressive (NAR) neural networks , 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).
[104] Shahaboddin Shamshirband,et al. A combined method to estimate wind speed distribution based on integrating the support vector machine with firefly algorithm , 2016 .
[105] David Schlipf,et al. Prospects of Linear Model Predictive Control on a 10 MW Floating Wind Turbine , 2015 .
[106] B. R. Noack,et al. Closed-Loop Turbulence Control: Progress and Challenges , 2015 .
[107] Frank Allgöwer,et al. Look-ahead cyclic pitch control using LIDAR , 2010 .
[108] Jianzhou Wang,et al. Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources , 2015 .
[109] A. Betz. Introduction to the Theory of Flow Machines , 1966 .
[110] Andrew R. Henderson,et al. Floating Offshore Wind Energy — A Review of the Current Status and an Assessment of the Prospects , 2010 .
[111] Barbara J. Lence,et al. An integrated model for estimating energy cost of a tidal current turbine farm , 2011 .