Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning
Through combining P-type iterative learning (IL) control, model-free adaptive (MFA)control and sliding mode (SM) control, a robust model-free adaptive iterative learning (MFA-IL)control approach is presented for the active vibration control of piezoelectric smart structures.Considering the uncertain...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Micromachines |
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| Online Access: | http://www.mdpi.com/2072-666X/10/3/196 |
| _version_ | 1819151023137095680 |
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| author | Liang Bai Yun-Wen Feng Ning Li Xiao-Feng Xue |
| author_facet | Liang Bai Yun-Wen Feng Ning Li Xiao-Feng Xue |
| author_sort | Liang Bai |
| collection | DOAJ |
| description | Through combining P-type iterative learning (IL) control, model-free adaptive (MFA)control and sliding mode (SM) control, a robust model-free adaptive iterative learning (MFA-IL)control approach is presented for the active vibration control of piezoelectric smart structures.Considering the uncertainty of the interaction among actuators in the learning control process,MFA control is adopted to adaptively adjust the learning gain of the P-type IL control in order toimprove the convergence speed of feedback gain. In order to enhance the robustness of the systemand achieve fast response for error tracking, the SM control is integrated with the MFA control todesign the appropriate learning gain. Real-time feedback gains which are extracted fromcontrollers construct the basic probability functions (BPFs). The evidence theory is adopted to thedesign and experimental investigations on a piezoelectric smart cantilever plate are performed tovalidate the proposed control algorithm. The results demonstrate that the robust MFA-IL controlpresents a faster learning speed, higher robustness and better control performance in vibrationsuppression when compared with the P-type IL control. |
| first_indexed | 2024-12-22T14:26:48Z |
| format | Article |
| id | doaj.art-e954430cedb14085b9c0fc1678b8e399 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-12-22T14:26:48Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-e954430cedb14085b9c0fc1678b8e3992022-12-21T18:22:52ZengMDPI AGMicromachines2072-666X2019-03-0110319610.3390/mi10030196mi10030196Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential ReasoningLiang Bai0Yun-Wen Feng1Ning Li2Xiao-Feng Xue3School of Aeronautics, Northwestern Polytechnical University, Western Youyi Street 127, Xi’an 710072, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Western Youyi Street 127, Xi’an 710072, ChinaCollege of Sciences, Northeastern University, 110819 Shenyang, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Western Youyi Street 127, Xi’an 710072, ChinaThrough combining P-type iterative learning (IL) control, model-free adaptive (MFA)control and sliding mode (SM) control, a robust model-free adaptive iterative learning (MFA-IL)control approach is presented for the active vibration control of piezoelectric smart structures.Considering the uncertainty of the interaction among actuators in the learning control process,MFA control is adopted to adaptively adjust the learning gain of the P-type IL control in order toimprove the convergence speed of feedback gain. In order to enhance the robustness of the systemand achieve fast response for error tracking, the SM control is integrated with the MFA control todesign the appropriate learning gain. Real-time feedback gains which are extracted fromcontrollers construct the basic probability functions (BPFs). The evidence theory is adopted to thedesign and experimental investigations on a piezoelectric smart cantilever plate are performed tovalidate the proposed control algorithm. The results demonstrate that the robust MFA-IL controlpresents a faster learning speed, higher robustness and better control performance in vibrationsuppression when compared with the P-type IL control.http://www.mdpi.com/2072-666X/10/3/196P-type ILMFA controlSM controlevidence theoryactive vibration controlpiezoelectric smart structure |
| spellingShingle | Liang Bai Yun-Wen Feng Ning Li Xiao-Feng Xue Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning Micromachines P-type IL MFA control SM control evidence theory active vibration control piezoelectric smart structure |
| title | Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning |
| title_full | Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning |
| title_fullStr | Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning |
| title_full_unstemmed | Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning |
| title_short | Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning |
| title_sort | robust model free adaptive iterative learning control for vibration suppression based on evidential reasoning |
| topic | P-type IL MFA control SM control evidence theory active vibration control piezoelectric smart structure |
| url | http://www.mdpi.com/2072-666X/10/3/196 |
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