Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane
The bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, the positioning of the trolley and the swing of the load can significantly impact the bridge crane’s safety and reliability. In this paper, we propose a variable universe...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/8/4830 |
| _version_ | 1827746069759393792 |
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| author | Hui Li Yanbo Hui Jun Ma Qiao Wang Ying Zhou Hongxiao Wang |
| author_facet | Hui Li Yanbo Hui Jun Ma Qiao Wang Ying Zhou Hongxiao Wang |
| author_sort | Hui Li |
| collection | DOAJ |
| description | The bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, the positioning of the trolley and the swing of the load can significantly impact the bridge crane’s safety and reliability. In this paper, we propose a variable universe fuzzy multi-parameter self-tuning PID (VUFMS-PID) control strategy for controlling the trolley’s movement. Our control strategy uses scaling factor variation to dynamically adjust the number of fuzzy control rules based on the system error and error rate of change. This approach improves control accuracy and enhances the crane’s stability and safety. Simulation results demonstrate that our proposed control strategy outperforms both the fuzzy PID and traditional PID control strategies. Specifically, it reduces the crane trolley’s positioning time and the maximum swing angle of the load. Our control strategy exhibits good adaptive ability and robustness, which further improves the stability and safety of the bridge-type bridge crane operation. |
| first_indexed | 2024-03-11T05:17:19Z |
| format | Article |
| id | doaj.art-d8f52014cef54ad7b94c1dfd63742e23 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:17:19Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d8f52014cef54ad7b94c1dfd63742e232023-11-17T18:09:52ZengMDPI AGApplied Sciences2076-34172023-04-01138483010.3390/app13084830Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge CraneHui Li0Yanbo Hui1Jun Ma2Qiao Wang3Ying Zhou4Hongxiao Wang5College of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaSchool of Mechanical and Electronic Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaCollege of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaThe bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, the positioning of the trolley and the swing of the load can significantly impact the bridge crane’s safety and reliability. In this paper, we propose a variable universe fuzzy multi-parameter self-tuning PID (VUFMS-PID) control strategy for controlling the trolley’s movement. Our control strategy uses scaling factor variation to dynamically adjust the number of fuzzy control rules based on the system error and error rate of change. This approach improves control accuracy and enhances the crane’s stability and safety. Simulation results demonstrate that our proposed control strategy outperforms both the fuzzy PID and traditional PID control strategies. Specifically, it reduces the crane trolley’s positioning time and the maximum swing angle of the load. Our control strategy exhibits good adaptive ability and robustness, which further improves the stability and safety of the bridge-type bridge crane operation.https://www.mdpi.com/2076-3417/13/8/4830bridge-type bridge cranefuzzy controlPID controlpositioningswing angle |
| spellingShingle | Hui Li Yanbo Hui Jun Ma Qiao Wang Ying Zhou Hongxiao Wang Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane Applied Sciences bridge-type bridge crane fuzzy control PID control positioning swing angle |
| title | Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane |
| title_full | Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane |
| title_fullStr | Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane |
| title_full_unstemmed | Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane |
| title_short | Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane |
| title_sort | research on variable universe fuzzy multi parameter self tuning pid control of bridge crane |
| topic | bridge-type bridge crane fuzzy control PID control positioning swing angle |
| url | https://www.mdpi.com/2076-3417/13/8/4830 |
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