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

Anomaly based Intrusion Detection using Modified Fuzzy Clustering

This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive informa...

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...

A System to Generate SignWriting for Video Tracks Enhancing Accessibility of Deaf People

Video content has increased much on the Internet during last years. In spite of the efforts of different organizations and governments to increase the accessibility of websites, most multimedia content on the Internet is...

Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems

The Internet of Things (IoT) has transformed many aspects of modern manufacturing, from design to production to quality control. In particular, IoT and digital manufacturing technologies have substantially accelerated pr...

Brain Computer Interface for Micro-controller Driven Robot Based on Emotiv Sensors

A Brain Computer Interface (BCI) is developed to navigate a micro-controller based robot using Emotiv sensors. The BCI system has a pipeline of 5 stages- signal acquisition, pre-processing, feature extraction, classifica...

Download PDF file
  • EP ID EP329932
  • DOI 10.9781/ijimai.2017.08.001
  • Views 175
  • 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