scholarly journals Tuning of Nacelle Feedback Gains for Floating Wind Turbine Controllers Using a Two-DOF Model

Author(s):  
Eben Lenfest ◽  
Andrew J. Goupee ◽  
Alan Wright ◽  
Nikhar Abbas

Abstract Designing a collective blade pitch controller for floating offshore wind turbines (FOWTs) poses unique challenges due to the interaction of the controller with the dynamics of the platform. The controller must also handle the competing objectives of power production performance and fatigue load management. Existing solutions either detune the controller with the result of slowed response, make use of complicated tuning methods, or incorporate a nacelle velocity feedback gain. With the goal of developing a simple control tuning method for the general FOWT researcher that is easily extensible to a wide array of turbine and hull configurations, this last idea is built upon by proposing a simple tuning strategy for the feedback gain. This strategy uses a two degree-of-freedom (DoF) turbine model that considers tower-top fore-aft and rotor angular displacements. For evaluation, the nacelle velocity term is added to an existing gain scheduled proportional-integral controller as a proportional gain. The modified controller is then compared to baseline land-based and detuned controllers on an example system for several load cases. First-pass results are favorable, demonstrating how researchers can use the proposed tuning method to efficiently schedule gains for adequate controller performance as they investigate new FOWT configurations.

Author(s):  
Roberto Ramos

A state feedback aerodynamic controller is proposed for the stabilization and reduction of platform/tower pitch vibrations of a spar-type floating wind turbine, considering blade pitch saturation effects. The controller is synthesized from a linearized rigid body model developed for a NREL 5-MW offshore wind turbine operating at the above rated condition (region 3). Wind turbulence and wave induced loads are obtained from the blade element momentum (BEM) aerodynamic theory and Morison’s equation, respectively. The simulation results show that the proposed nonlinear control system yields significant vibration reduction in comparison to a proportional-integral controller.


Our work provides an experimental investigation over critical inductance analysis (CIA) for fundamental Luo family converters (LFCs).It mainly concentrates on negative output superlift Luo converter (NOSLLC), positive output superlift Luo converter (POSLLC) and negative output boost converter (NOBC) which is carried out with proportional integral controller (PIC) so as to get a control over the LFC’s output voltage. Experimental investigation is performed by selecting the critical inductance of LFCs based on average inductor current as well as inductor current repletion, and then the state-space equations of LFCs are attained using the Ziegler–Nicholas tuning method. The experimental analysis provides the researchers a detailed ride over critical inductance for LFCs converters to obtain a better voltage transfer ratio, efficiency and minimised capacitor voltage as well as inductance current ripples as compared with the traditional DC–DC converters. Therefore the performance of the LFCs using PIC is verified at different states by developing both the MATLAB/Simulink and the prototype models. The results of experimental and implementations are provided to represent the importance of the CIA of LFCs with PIC.


Author(s):  
Marc Le Boulluec ◽  
Jérémy Ohana ◽  
Alexis Martin ◽  
Anne Houmard

The WINFLO project (Wind turbine with INnovative design for Floating Lightweight Offshore) aims at the development of competitive floating offshore wind turbines, by a consortium of 3 industrial partners (Nass&Wind Industrie, DCNS and Vergnet SA) and 2 scientific partners (IFREMER and ENSTA Bretagne). The design of the floater is an innovative semi-submersible free floating platform with particular aspects. Classical steps toward the assessment of the hydrodynamic and energy production performance include numerical modeling, model scale tank testing and intermediate or full scale tests at sea. The present study describes the wave tank tests including wind generation compared to some numerical modeling results of the coupled system composed of the support floater and the wind turbine.


Author(s):  
Aliyu Hamza Sule ◽  
Ahmad Safawi Mokhtar ◽  
Jasrul Jamani Bin Jamian ◽  
Attaullah Khidrani ◽  
Raja Masood Larik

The need for tuning the PI controller is to improve its performance metrics such as rise time, settling time and overshoot. This paper proposed the Grey Wolf Optimizer (GWO) tuning method of a Proportional Integral (PI) controller for fixed speed Wind Turbine. The objective is to overcome the limitations in using the PSO and GA tuning methods for tuning the PI controller, such as quick convergence occurring too soon into a local optimum, and the controller step input response. The GWO, the Particle Swarm Optimization (PSO), and the Genetic Algorithm (GA) tuning methods were implemented in the Matlab 2016b to search the optimal gains of the Proportional and Integral controller through minimization of the objective function. A comparison was made between the results obtained from the GWO tuning method against PSO and GA tuning techniques. The GWO computed the smallest value of the objective function minimized. It exhibited faster convergence and better time response specification compared to other methods. These and more performance indicators show the superiority of the GWO tuning method.


2020 ◽  
Vol 2 (1) ◽  
pp. 25-29
Author(s):  
Nasir Ahmed Alawad

Distillation is the separation strategy in the oil and compound businesses for cleansing of conclusive items. This paper deals with the reduced dynamic model and control of the distillation tower by applying a multi-loop control framework in Matlab/Simulink for a double blend. The structure objective considered is to guarantee that the top item, the base item, the reflux rate and the reboiler rate stray inside their recommended limits forever and for all the aggravations. This paper proposes an optimal tuning method for fractional Proportional-Integral controller (FPI). The method consists of minimizing Integral Absolute Error (IAE) performance index criterion. Acceptable controller (FPI) is acquired via looking in the space of plan boundaries (Kp,Ki). An example of application (distillation column) plant is presented to evaluate the proposed method. A comparison with classical PI controller and optimal PI shows that the system under fractional state is robust in terms of transient specifications, maximum overshot, settling and rise times. The simulation results shows that more than (21%) improvement for reducing the max-overshot and(65%)improvement for increasing response speed for fractional PI compared with classical PI.MATLAB simulation toolbox is used to show the effectives of the proposed method.


2013 ◽  
Vol 5 (1) ◽  
pp. 60-68
Author(s):  
Ashok Kumar ◽  
Rajbir Morya ◽  
Dr. Munish Vashishath

This paper, explains about the background study of the coupled tank and to model such tanks using Simulink blocks. It must explains, the coupled tanks are used to select the best tuning strategy for PID controller based on its performance and stability, and then the best tuning controller is obtained after comparing various tuning strategies like Ciancone, Cohen Coon & Ziegler- Nicholas tuning methods based on their performance in controlling the couple tanks. The couple tank is then designed on Simulink as well and three different tuning methods for PI & PID controller calculations are implemented. The controller which gives best performance corresponding their tuning parameters which is obtained from various tuning method, and then selected.


2014 ◽  
Vol 134 (8) ◽  
pp. 1096-1103 ◽  
Author(s):  
Sho Tsujimoto ◽  
Ségolène Dessort ◽  
Naoyuki Hara ◽  
Keiji Konishi

Author(s):  
Viyils Sangregorio-Soto ◽  
Claudia L. Garzon-Castro ◽  
Gianfranco Mazzanti ◽  
Manuel Figueredo ◽  
John A. Cortes-Romero

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