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Reconfigurable assembly approach for wind turbines using multiple intelligent agents

  • C. Deters
  • , H. A. Wurdemann
  • , Jian S. Dai
  • , L. D. Seneviratne
  • , K. Althoefer
  • Centre for Robotics Research

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper investigates the use of an agent based assembly strategy for a wind turbine hub. The manual assembly procedure for a wind turbine is presented. The hub parts are constantly optimised and therefore a fully automated assembly line requires continously reprogramming. Thus, a new reconfigurable assembly system is introduced which is flexible and self-adaptive. The methodology of implementing an intelligent agent for designing the assembly strategy for the wind generator hub and the algorithm for the optimal task sequence are described. This reconfigurable automation runs a Partial Order Planning algorithm in real-time using Beckhoff TwinCAT® 3.

Original languageBritish English
Title of host publicationAdvances in Reconfigurable Mechanisms and Robots I
Pages95-103
Number of pages9
DOIs
StatePublished - 2012
Event2nd ASME/IFToMM International Conference on Reconfigurable Mechanisms and Robots, ReMAR 2012 - Tianjin, China
Duration: 9 Jul 201211 Jul 2012

Publication series

NameAdvances in Reconfigurable Mechanisms and Robots I

Conference

Conference2nd ASME/IFToMM International Conference on Reconfigurable Mechanisms and Robots, ReMAR 2012
Country/TerritoryChina
CityTianjin
Period9/07/1211/07/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Beckhoff TwinCAT® 3
  • Intelligent agent
  • Partial order planning
  • Reconfigurable assembly
  • Wind turbine

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