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 language | British English |
|---|---|
| Title of host publication | Advances in Reconfigurable Mechanisms and Robots I |
| Pages | 95-103 |
| Number of pages | 9 |
| DOIs | |
| State | Published - 2012 |
| Event | 2nd ASME/IFToMM International Conference on Reconfigurable Mechanisms and Robots, ReMAR 2012 - Tianjin, China Duration: 9 Jul 2012 → 11 Jul 2012 |
Publication series
| Name | Advances in Reconfigurable Mechanisms and Robots I |
|---|
Conference
| Conference | 2nd ASME/IFToMM International Conference on Reconfigurable Mechanisms and Robots, ReMAR 2012 |
|---|---|
| Country/Territory | China |
| City | Tianjin |
| Period | 9/07/12 → 11/07/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Beckhoff TwinCAT® 3
- Intelligent agent
- Partial order planning
- Reconfigurable assembly
- Wind turbine
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