Deters, Christian and Lam, Hak-Keung and Secco, Emanuele Lindo and Würdemann, Helge A. and Seneviratne, Lakmal D. and Althoefer, Kaspar (2015) Accurate Bolt Tightening using Model-Free Fuzzy Control for Wind Turbine Hub Bearing Assembly. IEEE Transactions on Control Systems Technology, 23. pp. 1-12. ISSN 1063-6536
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Abstract
"In the modern wind turbine industry, one of the core processes is the assembly of the bolt-nut connections of the hub, which requires tightening bolts and nuts to obtain well-distributed clamping force all over the hub. This force deals with nonlinear uncertainties due to the mechanical properties and it depends on the final torque and relative angular position of the bolt/nut connection.
This paper handles the control problem of automated bolt tightening processes. To develop a controller, the process is divided into four stages, according to the mechanical characteristics of the bolt/nut connection: a Fuzzy Logic Controller (FLC) with expert knowledge of tightening process and error detection capability is proposed. For each one of the four stages, an individual FLC is designed to address the highly non-linearity of the system and the error scenarios related to that stage, to promptly prevent and avoid mechanical damage.
The FLC is implemented and real time executed on an industrial PC and finally validated. Experimental results show the performance of the controller to reach precise torque and angle levels as well as desired clamping force. The capability of error detection is also validated.
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| Item Type: | Article |
|---|---|
| Additional Information and Comments: | "(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works." |
| Keywords: | bolt tightening, fuzzy logic control, industrial fuzzy logic control, sensor-based tightening |
| Faculty / Department: | Faculty of Human and Digital Sciences > School of Computer Science and the Environment |
| Depositing User: | Philippe Chassy |
| Date Deposited: | 21 Jan 2016 11:37 |
| Last Modified: | 11 Feb 2025 10:08 |
| URI: | https://hira.hope.ac.uk/id/eprint/443 |
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