Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle
Aiming at the defect that traditional PPC usually leads to control singularity when dealing with the input constrained problem, a new non-fragile prescribed performance control (PPC) methodology is proposed based on neural approximation for waverider vehicle (WV). To deal with the saturation of velo...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2022-12-01
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| Series: | Hangkong bingqi |
| Subjects: | |
| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00141.pdf |
| _version_ | 1797976207067709440 |
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| author | Bu Xiangwei, Jiang Baoxu |
| author_facet | Bu Xiangwei, Jiang Baoxu |
| author_sort | Bu Xiangwei, Jiang Baoxu |
| collection | DOAJ |
| description | Aiming at the defect that traditional PPC usually leads to control singularity when dealing with the input constrained problem, a new non-fragile prescribed performance control (PPC) methodology is proposed based on neural approximation for waverider vehicle (WV). To deal with the saturation of velocity control input and altitude control input, compensated systems are devised. Furthermore, the states of compensated systems are used to construct adaptive re-adjusting terms that are further applied to improve the constraint envelopes of traditional PPC. Besides, neural networks are introduced to approximate the WV normalized unknown terms, which guarantees the robust performance. The advantage of the proposed method is that it overcomes the fragile defect of traditional PPC, and also reduces the control complexity and online computational load. Finally, the effectiveness and superiority of the exploited method are validated via numerical simulation. |
| first_indexed | 2024-04-11T04:47:25Z |
| format | Article |
| id | doaj.art-1f7f4faf13d54580a2b148183eb64c70 |
| institution | Directory Open Access Journal |
| issn | 1673-5048 |
| language | zho |
| last_indexed | 2024-04-11T04:47:25Z |
| publishDate | 2022-12-01 |
| publisher | Editorial Office of Aero Weaponry |
| record_format | Article |
| series | Hangkong bingqi |
| spelling | doaj.art-1f7f4faf13d54580a2b148183eb64c702022-12-27T08:41:51ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482022-12-0129671410.12132/ISSN.1673-5048.2022.0141Non-Fragile Prescribed Performance Neural Control of Constrained Waverider VehicleBu Xiangwei, Jiang Baoxu01. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China;2. College of Graduate, Air Force Engineering University, Xi’an 710051, ChinaAiming at the defect that traditional PPC usually leads to control singularity when dealing with the input constrained problem, a new non-fragile prescribed performance control (PPC) methodology is proposed based on neural approximation for waverider vehicle (WV). To deal with the saturation of velocity control input and altitude control input, compensated systems are devised. Furthermore, the states of compensated systems are used to construct adaptive re-adjusting terms that are further applied to improve the constraint envelopes of traditional PPC. Besides, neural networks are introduced to approximate the WV normalized unknown terms, which guarantees the robust performance. The advantage of the proposed method is that it overcomes the fragile defect of traditional PPC, and also reduces the control complexity and online computational load. Finally, the effectiveness and superiority of the exploited method are validated via numerical simulation.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00141.pdf|waverider vehicle|prescribed performance control|fragility|neural network|input constraints|control system|weapon |
| spellingShingle | Bu Xiangwei, Jiang Baoxu Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle Hangkong bingqi |waverider vehicle|prescribed performance control|fragility|neural network|input constraints|control system|weapon |
| title | Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle |
| title_full | Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle |
| title_fullStr | Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle |
| title_full_unstemmed | Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle |
| title_short | Non-Fragile Prescribed Performance Neural Control of Constrained Waverider Vehicle |
| title_sort | non fragile prescribed performance neural control of constrained waverider vehicle |
| topic | |waverider vehicle|prescribed performance control|fragility|neural network|input constraints|control system|weapon |
| url | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00141.pdf |
| work_keys_str_mv | AT buxiangweijiangbaoxu nonfragileprescribedperformanceneuralcontrolofconstrainedwaveridervehicle |