Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms
In wind tunnel tests, cantilever stings are often used as model-mount in order to reduce flow interference on experimental data. In this case, however, large-amplitude vibration and low-frequency vibration are easily produced on the system, which indicates the potential hazards of gaining inaccurate...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2018/1905049 |
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| _version_ | 1832552744008810496 |
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| author | Xing Shen Yuke Dai Mingxuan Chen Lei Zhang Li Yu |
| author_facet | Xing Shen Yuke Dai Mingxuan Chen Lei Zhang Li Yu |
| author_sort | Xing Shen |
| collection | DOAJ |
| description | In wind tunnel tests, cantilever stings are often used as model-mount in order to reduce flow interference on experimental data. In this case, however, large-amplitude vibration and low-frequency vibration are easily produced on the system, which indicates the potential hazards of gaining inaccurate data and even damaging the structure. This paper details three algorithms, respectively, Classical PD Algorithm, Artificial Neural Network PID (NNPID), and Linear Quadratic Regulator (LQR) Optimal Control Algorithm, which can realize active vibration control of sting used in wind tunnel. The hardware platform of the first-order vibration damping system based on piezoelectric structure is set up and the real-time control software is designed to verify the feasibility and practicability of the algorithms. While the PD algorithm is the most common method in engineering, the results show that all the algorithms can achieve the purpose of over 80% reduction, and the last two algorithms perform even better. Besides, self-tuning is realized in NNPID, and with the help of the Observer/Kalman Filter Identification (OKID), LQR optimal control algorithm can make the control effort as small as possible. The paper proves the superiority of NNPID and LQR algorithms and can be an available reference for vibration control of wind tunnel system. |
| format | Article |
| id | doaj-art-dbd2f26c882d42fcb308f1b259578589 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-dbd2f26c882d42fcb308f1b2595785892025-02-03T05:58:07ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/19050491905049Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control AlgorithmsXing Shen0Yuke Dai1Mingxuan Chen2Lei Zhang3Li Yu4State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaState Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaChina Aerodynamics Research and Development Center, Mianyang 621000, ChinaIn wind tunnel tests, cantilever stings are often used as model-mount in order to reduce flow interference on experimental data. In this case, however, large-amplitude vibration and low-frequency vibration are easily produced on the system, which indicates the potential hazards of gaining inaccurate data and even damaging the structure. This paper details three algorithms, respectively, Classical PD Algorithm, Artificial Neural Network PID (NNPID), and Linear Quadratic Regulator (LQR) Optimal Control Algorithm, which can realize active vibration control of sting used in wind tunnel. The hardware platform of the first-order vibration damping system based on piezoelectric structure is set up and the real-time control software is designed to verify the feasibility and practicability of the algorithms. While the PD algorithm is the most common method in engineering, the results show that all the algorithms can achieve the purpose of over 80% reduction, and the last two algorithms perform even better. Besides, self-tuning is realized in NNPID, and with the help of the Observer/Kalman Filter Identification (OKID), LQR optimal control algorithm can make the control effort as small as possible. The paper proves the superiority of NNPID and LQR algorithms and can be an available reference for vibration control of wind tunnel system.http://dx.doi.org/10.1155/2018/1905049 |
| spellingShingle | Xing Shen Yuke Dai Mingxuan Chen Lei Zhang Li Yu Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms Shock and Vibration |
| title | Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms |
| title_full | Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms |
| title_fullStr | Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms |
| title_full_unstemmed | Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms |
| title_short | Active Vibration Control of the Sting Used in Wind Tunnel: Comparison of Three Control Algorithms |
| title_sort | active vibration control of the sting used in wind tunnel comparison of three control algorithms |
| url | http://dx.doi.org/10.1155/2018/1905049 |
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