Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor
MIT control strategy is a kind of model reference adaptive control method with the simplest structure. The reason why the structure is simple is that only the gain of the controlled object is adaptively adjusted. Because only the gain is adjusted, the ability of MIT control strategy to change the ch...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9486958/ |
| _version_ | 1819144248270782464 |
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| author | Shi Jingzhuo Wenwen Huang Zhao Liuqing |
| author_facet | Shi Jingzhuo Wenwen Huang Zhao Liuqing |
| author_sort | Shi Jingzhuo |
| collection | DOAJ |
| description | MIT control strategy is a kind of model reference adaptive control method with the simplest structure. The reason why the structure is simple is that only the gain of the controlled object is adaptively adjusted. Because only the gain is adjusted, the ability of MIT control strategy to change the characteristics of the controlled object is limited. This also limits its application. In this paper, the simple idea of iterative learning control is introduced into MIT controller to increase the controller’s ability to adjust the characteristics of the controlled object, and make it suitable for complex control objects. In the proposed control method, the output of the iterative learning controller is used to adjust the adaptive law of the MIT controller. The proposed control method is applied to the speed control system of ultrasonic motor. Experiments show that although only the gain of MIT controller can be adjusted, the learning process based on memory increases the degree of control freedom. Therefore, the dynamic characteristics of the system can be greatly changed, and the control performance can be significantly improved. Moreover, the proposed method only needs to add a simple P-type iterative learning controller to the MIT controller, and the increase of online calculation amount is small. |
| first_indexed | 2024-12-22T12:39:07Z |
| format | Article |
| id | doaj.art-10f82ca89cd74bcd9cbd24bd039defa2 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T12:39:07Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-10f82ca89cd74bcd9cbd24bd039defa22022-12-21T18:25:29ZengIEEEIEEE Access2169-35362021-01-01910030810031810.1109/ACCESS.2021.30973389486958Improved Indirect Iterative Learning MIT Control Method for Ultrasonic MotorShi Jingzhuo0https://orcid.org/0000-0001-9128-9804Wenwen Huang1Zhao Liuqing2https://orcid.org/0000-0002-0497-6348Department of Electrical Engineering, Henan University of Science and Technology, Luoyang, ChinaDepartment of Electrical Engineering, Henan University of Science and Technology, Luoyang, ChinaDepartment of Electrical Engineering, Henan University of Science and Technology, Luoyang, ChinaMIT control strategy is a kind of model reference adaptive control method with the simplest structure. The reason why the structure is simple is that only the gain of the controlled object is adaptively adjusted. Because only the gain is adjusted, the ability of MIT control strategy to change the characteristics of the controlled object is limited. This also limits its application. In this paper, the simple idea of iterative learning control is introduced into MIT controller to increase the controller’s ability to adjust the characteristics of the controlled object, and make it suitable for complex control objects. In the proposed control method, the output of the iterative learning controller is used to adjust the adaptive law of the MIT controller. The proposed control method is applied to the speed control system of ultrasonic motor. Experiments show that although only the gain of MIT controller can be adjusted, the learning process based on memory increases the degree of control freedom. Therefore, the dynamic characteristics of the system can be greatly changed, and the control performance can be significantly improved. Moreover, the proposed method only needs to add a simple P-type iterative learning controller to the MIT controller, and the increase of online calculation amount is small.https://ieeexplore.ieee.org/document/9486958/Ultrasonic motoriterative learning control (ILC)MIT control |
| spellingShingle | Shi Jingzhuo Wenwen Huang Zhao Liuqing Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor IEEE Access Ultrasonic motor iterative learning control (ILC) MIT control |
| title | Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor |
| title_full | Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor |
| title_fullStr | Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor |
| title_full_unstemmed | Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor |
| title_short | Improved Indirect Iterative Learning MIT Control Method for Ultrasonic Motor |
| title_sort | improved indirect iterative learning mit control method for ultrasonic motor |
| topic | Ultrasonic motor iterative learning control (ILC) MIT control |
| url | https://ieeexplore.ieee.org/document/9486958/ |
| work_keys_str_mv | AT shijingzhuo improvedindirectiterativelearningmitcontrolmethodforultrasonicmotor AT wenwenhuang improvedindirectiterativelearningmitcontrolmethodforultrasonicmotor AT zhaoliuqing improvedindirectiterativelearningmitcontrolmethodforultrasonicmotor |