Smart Algorithms to Control a Variable Speed Wind Turbine

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

A Solution Generator Algorithm for Decision Making based Automated Negotiation in the Construction Domain

In this paper, we present our work-in-progress of a proposed framework for automated negotiation in the construction domain. The proposed framework enables software agents to conduct negotiations and autonomously make va...

Distributed Search Systems with Self-Adaptive Organizational Setups

This paper studies the effects of learning-induced alterations of distributed search systems’ organizations. In particular, scenarios where alterations of the search-systems’ organizational setup are based on a form of r...

N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents

From many past years, the detection of unknown malicious mobile agents before they invade the Mobile Agent Platform has been the subject of much challenging activity. The ever-growing threat of malicious agents calls for...

Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia

Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensi...

Securing Cloud Computing from Different Attacks Using Intrusion Detection Systems

Cloud computing is a new way of integrating a set of old technologies to implement a new paradigm that creates an avenue for users to have access to shared and configurable resources through internet on-demand. This syst...

Download PDF file
  • EP ID EP329932
  • DOI 10.9781/ijimai.2017.08.001
  • Views 178
  • Downloads 0

How To Cite

Nabil Farhane, Ismail Boumhidi, Jaouad Boumhidi (2017). Smart Algorithms to Control a Variable Speed Wind Turbine. International Journal of Interactive Multimedia and Artificial Intelligence, 4(6), 88-95. https://europub.co.uk/articles/-A-329932