Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm
The magnetorheological elastomer (MRE) is a kind of smart material, which is often processed as vibration isolation and mitigation devices to realize the vibration control of the controlled system. The key to the effective isolation of vibration and shock absorption is how to accurately and in real...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/3025863 |
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| _version_ | 1832566274327052288 |
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| author | Ying-Qing Guo Jie Zhang Dong-Qing He Jin-Bao Li |
| author_facet | Ying-Qing Guo Jie Zhang Dong-Qing He Jin-Bao Li |
| author_sort | Ying-Qing Guo |
| collection | DOAJ |
| description | The magnetorheological elastomer (MRE) is a kind of smart material, which is often processed as vibration isolation and mitigation devices to realize the vibration control of the controlled system. The key to the effective isolation of vibration and shock absorption is how to accurately and in real time determine the magnitude of the applied magnetic field according to the motion state of the controlled system. In this paper, an optimal fuzzy fractional-order PID (OFFO-PID) algorithm is proposed to realize the vibration isolation and mitigation control of the precision platform with MRE devices. In the algorithm, the particle swarm optimization algorithm is used to optimize initial values of the fractional-order PID controller, and the fuzzy algorithm is used to update parameters of the fractional-order PID controller in real time, and the fractional-order PID controller is used to produce the control currents of the MRE devices. Numerical analysis for a platform with the MRE device is carried out to validate the effectiveness of the algorithm. Results show that the OFFO-PID algorithm can effectively reduce the dynamic responses of the precision platform system. Also, compared with the fuzzy fractional-order PID algorithm and the traditional PID algorithm, the OFFO-PID algorithm is better. |
| format | Article |
| id | doaj-art-51c17f8d5f364c838ad7ac809957752b |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-51c17f8d5f364c838ad7ac809957752b2025-02-03T01:04:38ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422020-01-01202010.1155/2020/30258633025863Magnetorheological Elastomer Precision Platform Control Using OFFO-PID AlgorithmYing-Qing Guo0Jie Zhang1Dong-Qing He2Jin-Bao Li3Mechanical and Electronic Engineering College, Nanjing Forestry University, Nanjing 210037, ChinaMechanical and Electronic Engineering College, Nanjing Forestry University, Nanjing 210037, ChinaMechanical and Electronic Engineering College, Nanjing Forestry University, Nanjing 210037, ChinaJiangsu Southeast Special Engineering & Technology Co., Ltd, Nanjing 210008, ChinaThe magnetorheological elastomer (MRE) is a kind of smart material, which is often processed as vibration isolation and mitigation devices to realize the vibration control of the controlled system. The key to the effective isolation of vibration and shock absorption is how to accurately and in real time determine the magnitude of the applied magnetic field according to the motion state of the controlled system. In this paper, an optimal fuzzy fractional-order PID (OFFO-PID) algorithm is proposed to realize the vibration isolation and mitigation control of the precision platform with MRE devices. In the algorithm, the particle swarm optimization algorithm is used to optimize initial values of the fractional-order PID controller, and the fuzzy algorithm is used to update parameters of the fractional-order PID controller in real time, and the fractional-order PID controller is used to produce the control currents of the MRE devices. Numerical analysis for a platform with the MRE device is carried out to validate the effectiveness of the algorithm. Results show that the OFFO-PID algorithm can effectively reduce the dynamic responses of the precision platform system. Also, compared with the fuzzy fractional-order PID algorithm and the traditional PID algorithm, the OFFO-PID algorithm is better.http://dx.doi.org/10.1155/2020/3025863 |
| spellingShingle | Ying-Qing Guo Jie Zhang Dong-Qing He Jin-Bao Li Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm Advances in Materials Science and Engineering |
| title | Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm |
| title_full | Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm |
| title_fullStr | Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm |
| title_full_unstemmed | Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm |
| title_short | Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm |
| title_sort | magnetorheological elastomer precision platform control using offo pid algorithm |
| url | http://dx.doi.org/10.1155/2020/3025863 |
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