A Study of Maneuvering Control for an Air Cushion Vehicle Based on Back Propagation Neural Network
A back propagation （BP） neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle （ACV）. The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity...
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| Published in | Shanghai jiao tong da xue xue bao Vol. 14; no. 4; pp. 482 - 485 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
Shanghai Jiaotong University Press
01.08.2009
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-1172 1995-8188 |
| DOI | 10.1007/s12204-009-0482-8 |
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| Abstract | A back propagation （BP） neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle （ACV）. The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity and the yaw rate as well as the velocity angle at the same time. The yaw rate and the velocity angle must be controlled correspondingly because of the whipping, which is a special characteristic for the ACV. The calculation results show that it is an efficient way for the ACV＇s maneuvering control by using a BP neural network to adjust PID parameters online. |
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| AbstractList | A back propagation (BP) neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle (ACV). The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity and the yaw rate as well as the velocity angle at the same time. The yaw rate and the velocity angle must be controlled correspondingly because of the whipping, which is a special characteristic for the ACV. The calculation results show that it is an efficient way for the ACV's maneuvering control by using a BP neural network to adjust PID parameters online. A back propagation （BP） neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle （ACV）. The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity and the yaw rate as well as the velocity angle at the same time. The yaw rate and the velocity angle must be controlled correspondingly because of the whipping, which is a special characteristic for the ACV. The calculation results show that it is an efficient way for the ACV＇s maneuvering control by using a BP neural network to adjust PID parameters online. |
| Author | 卢军 黄国樑 李姝芝 |
| AuthorAffiliation | State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200030, China Beijing Research Institute of Automatic Control Equipment, Beijing 100074, China |
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| Cites_doi | 10.1109/72.182704 |
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| Copyright | Shanghai Jiaotong University and Springer-Verlag GmbH 2009 |
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| Keywords | U 661.33 PID control four degree of freedom back propagation (BP) neural network air cushion vehicle |
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| References | Villiers (CR4) 1993; 4 Lu, Huang (CR1) 2007; 41 Tao (CR3) 2002 Lu, Huang (CR2) 2008; 42 J. Villiers (482_CR4) 1993; 4 J. Lu (482_CR1) 2007; 41 Y.-hua. Tao (482_CR3) 2002 J. Lu (482_CR2) 2008; 42 |
| References_xml | – volume: 4 start-page: 136 issue: 1 year: 1993 end-page: 141 ident: CR4 article-title: Backpropagation neural networks with one and two hidden layers [J] publication-title: IEEE Tran Neural Networks doi: 10.1109/72.182704 – start-page: 52 year: 2002 end-page: 58 ident: CR3 publication-title: A new PID control and its application [M] – volume: 41 start-page: 216 issue: 2 year: 2007 end-page: 220 ident: CR1 article-title: The four-degree of freedom maneuverability of an air cushion vehicle [J] publication-title: Journal of Shanghai Jiaotong University – volume: 42 start-page: 914 issue: 6 year: 2008 end-page: 918 ident: CR2 article-title: The course stability of an air cushion vehicle [J] publication-title: Journal of Shanghai Jiaotong University – start-page: 52 volume-title: A new PID control and its application [M] year: 2002 ident: 482_CR3 – volume: 4 start-page: 136 issue: 1 year: 1993 ident: 482_CR4 publication-title: IEEE Tran Neural Networks doi: 10.1109/72.182704 – volume: 42 start-page: 914 issue: 6 year: 2008 ident: 482_CR2 publication-title: Journal of Shanghai Jiaotong University – volume: 41 start-page: 216 issue: 2 year: 2007 ident: 482_CR1 publication-title: Journal of Shanghai Jiaotong University |
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| Snippet | A back propagation （BP） neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle （ACV）. The... A back propagation (BP) neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle (ACV). The... |
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| SubjectTerms | Architecture BP神经网络 Computer Science Electrical Engineering Engineering Life Sciences Materials Science PID参数 奥地利 机动控制 气垫车辆 空气动力学 计算结果 车辆控制 |
| Title | A Study of Maneuvering Control for an Air Cushion Vehicle Based on Back Propagation Neural Network |
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