Development of a desmodromic variable pitch system for hydrokinetic turbines

2021 ◽  
Vol 250 ◽  
pp. 114890
Author(s):  
Pier Francesco Melani ◽  
Francesco Balduzzi ◽  
Giovanni Ferrara ◽  
Alessandro Bianchini
Author(s):  
Tomoki Ikoma ◽  
Koichi Masuda ◽  
Yasunori Nakamura ◽  
Chang-Kyu Rheem ◽  
Hisaaki Maeda

This paper describes performances and characteristics of a vertical axis marine turbine (VAT) on which variable-pitch blades are equipped. Then, model experiments in a current channel and CFD calculations were carried out in this study. In the model testing, a variable-pitch type turbine model was used. Accuracy of the CFD computation is validated by comparing with experimental results of torque and number of rotation of the turbine model. The CFD calculation is three-dimensional as well as two-dimensional. The corresponding turbine model has three straight blades, which diameter is 0.3 m. Three kinds of tests were performed for model testing in the channel and CFD calculations as well. They were the starting-driving test, the braking test and the forced-rotation test in currents. The forced-rotation test was performed in still water as well in order to know a simple thrust and to estimate ideal efficiency of the turbine. Form results of model experiments and numerical experiments, the CFD calculation was satisfactory to estimate performance of the turbine. The starting performance could be definitely improved by applying the variable-pitch system. For driving performance, it was very useful to control the pitch angle a little bit even in very fast velocity currents.


2011 ◽  
Vol 383-390 ◽  
pp. 3539-3544
Author(s):  
Shou Hao Li

A FLC-PID controller is designed to solve parameter time changing and nor-linear problems of variable-pitch syetem. The FLC-PID control metod can improve the derivation responses of system. Control simulation are carried out to indicates that it is superior to the traditional PID and FLC controller.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Mingzhu Tang ◽  
Jiahao Hu ◽  
Zijie Kuang ◽  
Huawei Wu ◽  
Qi Zhao ◽  
...  

Aiming at solving the problem that the parameters of a fault detection model are difficult to be optimized, the paper proposes the fault detection of the wind turbine variable pitch system based on large margin distribution machine (LDM) which is optimized by the state transition algorithm (STA). By setting the three parameters of the LDM model as a three-dimensional vector which was searched by STA, by using the accuracy of fault detection model as the fitness function of STA, and by adopting the four state transformation operators of STA to carry out global search in the form of point, line, surface, and sphere in the search space, the global optimal parameters of LDM fault detection model are obtained and used to train the model. Compared with the grid search (GS) method, particle swarm optimization (PSO) algorithm, and genetic algorithm (GA), the proposed model method has lower false positive rate (FPR) and false negative rate (FNR) in the fault detection of wind turbine variable pitch system in a real wind farm.


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