Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System
Gyrowheel is an innovative instrument that can function as a momentum actuator and simultaneously measure angular rates for small spacecrafts. Unlike traditional gyroscopes, the gyrowheel dynamics is significantly complicated and nonlinear, subject to various uncertainties and disturbances. This res...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10083132/ |
| _version_ | 1797853031635615744 |
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| author | Yuyu Zhao Chao Suo Yuxiao Wang |
| author_facet | Yuyu Zhao Chao Suo Yuxiao Wang |
| author_sort | Yuyu Zhao |
| collection | DOAJ |
| description | Gyrowheel is an innovative instrument that can function as a momentum actuator and simultaneously measure angular rates for small spacecrafts. Unlike traditional gyroscopes, the gyrowheel dynamics is significantly complicated and nonlinear, subject to various uncertainties and disturbances. This results in challenges to realize accurate angular rate sensing with the gyrowheel. To overcome the drawbacks of the existing methods, the external angular rate sensing problem is investigated in this paper. A radial basis function neural network is adopted and further combined with an augmented observer to deal with the nonlinearities, uncertainties and disturbances of the gyrowheel system. Employing the neuro-augmented observer, this paper proposes a practical angular rate sensing approach with satisfactory accuracy and without the requirement of an exact knowledge of the gyrowheel dynamics. Simulation tests illustrate the effectiveness and superiority of the proposed method. |
| first_indexed | 2024-04-09T19:42:49Z |
| format | Article |
| id | doaj.art-14a463d0bb064443b5efbce78e29eff3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T19:42:49Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-14a463d0bb064443b5efbce78e29eff32023-04-03T23:00:10ZengIEEEIEEE Access2169-35362023-01-0111312723128110.1109/ACCESS.2023.326267610083132Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel SystemYuyu Zhao0https://orcid.org/0000-0002-3728-9667Chao Suo1Yuxiao Wang2https://orcid.org/0000-0002-6640-6076College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, ChinaCollege of Electronic Information and Automation, Civil Aviation University of China, Tianjin, ChinaCollege of Electronic Information and Automation, Civil Aviation University of China, Tianjin, ChinaGyrowheel is an innovative instrument that can function as a momentum actuator and simultaneously measure angular rates for small spacecrafts. Unlike traditional gyroscopes, the gyrowheel dynamics is significantly complicated and nonlinear, subject to various uncertainties and disturbances. This results in challenges to realize accurate angular rate sensing with the gyrowheel. To overcome the drawbacks of the existing methods, the external angular rate sensing problem is investigated in this paper. A radial basis function neural network is adopted and further combined with an augmented observer to deal with the nonlinearities, uncertainties and disturbances of the gyrowheel system. Employing the neuro-augmented observer, this paper proposes a practical angular rate sensing approach with satisfactory accuracy and without the requirement of an exact knowledge of the gyrowheel dynamics. Simulation tests illustrate the effectiveness and superiority of the proposed method.https://ieeexplore.ieee.org/document/10083132/Gyrowheelangular rate sensingnonlinear dynamicsuncertaintyneural networkstate observer |
| spellingShingle | Yuyu Zhao Chao Suo Yuxiao Wang Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System IEEE Access Gyrowheel angular rate sensing nonlinear dynamics uncertainty neural network state observer |
| title | Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System |
| title_full | Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System |
| title_fullStr | Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System |
| title_full_unstemmed | Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System |
| title_short | Neuro-Augmented Observer Based External Angular Rate Sensing Approach for Gyrowheel System |
| title_sort | neuro augmented observer based external angular rate sensing approach for gyrowheel system |
| topic | Gyrowheel angular rate sensing nonlinear dynamics uncertainty neural network state observer |
| url | https://ieeexplore.ieee.org/document/10083132/ |
| work_keys_str_mv | AT yuyuzhao neuroaugmentedobserverbasedexternalangularratesensingapproachforgyrowheelsystem AT chaosuo neuroaugmentedobserverbasedexternalangularratesensingapproachforgyrowheelsystem AT yuxiaowang neuroaugmentedobserverbasedexternalangularratesensingapproachforgyrowheelsystem |