Smart Algorithms to Control a Variable Speed Wind Turbine
Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence - Year 2017, Vol 4, Issue 6
Abstract
In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy neural network (FNN) is used to improve the mathematical system model, by the prediction of model unknown function, which is used by the Sliding mode control approach (SMC) and enables a lower switching gain to be used despite the presence of large uncertainties. As a result, the used robust control action did not exhibit any chattering behavior. This FNN is trained on-line using the backpropagation algorithm (BP). The particle swarm optimization (PSO) algorithm is used in this study to optimize the learning rate of BP algorithm in order to improve the network performance in term of the speed of convergence. The stability is shown by the Lyapunov theory and the trajectory tracking errors converge to zero without any oscillatory behavior. Simulations illustrate the effectiveness of the designed method.
Authors and Affiliations
Nabil Farhane, Ismail Boumhidi, Jaouad Boumhidi
Keywords
Related Articles
- EP ID EP329932
- DOI 10.9781/ijimai.2017.08.001
- Views 172
- Downloads 0
Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language
A good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline information (a virtual line on wh...
An analytic Study of the Key Factors Influencing the Design and Routing Techniques of a Wireless Sensor Network
A wireless sensor network contains various nodes having certain sensing, processing & communication capabilities. Actually they are multifunctional battery operated nodes called motes. These motes are small in size & bat...
Conceptual Model for Smart Cities: Irrigation and Highway Lamps using IoT
Keeping in mind the need to preserve energy as well as utilize the available at its best the need was felt to develop a module that would be able to sort out the problem where resources such as water and electricity were...
Combining Fuzzy AHP with GIS and Decision Rules for Industrial Site Selection
This study combines Fuzzy Analytic Hierarchy Process (FAHP), Geographic Information System (GIS) and Decision rules to provide decision makers with a ranking model for industrial sites in Algeria. A ranking of the suitab...
Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater...