Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control
Considering the time-delay in control input channel and the nonlinear spring stiffness characteristics of suspension, a quarter-vehicle magneto rheological active suspension nonlinear model with time-delay is established in this paper. Based on the time-delay nonlinear model, an adaptive neural netw...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/765871 |
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| _version_ | 1832549544795045888 |
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| author | Yue Zhu Sihong Zhu |
| author_facet | Yue Zhu Sihong Zhu |
| author_sort | Yue Zhu |
| collection | DOAJ |
| description | Considering the time-delay in control input channel and the nonlinear spring stiffness characteristics of suspension, a quarter-vehicle magneto rheological active suspension nonlinear model with time-delay is established in this paper. Based on the time-delay nonlinear model, an adaptive neural network structure for magneto rheological active suspension is presented. By recognizing and training the adaptive neural network, the adaptive neural network active suspension controller is obtained. Simulation results show that the presented method can guarantee that the quarter-vehicle magneto rheological active suspension system has satisfying performance on the E_level very poor ground. |
| format | Article |
| id | doaj-art-d3407ced6d8d4a95a01feca0233fb4b8 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-d3407ced6d8d4a95a01feca0233fb4b82025-02-03T06:11:08ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/765871765871Nonlinear Time-Delay Suspension Adaptive Neural Network Active ControlYue Zhu0Sihong Zhu1College of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaConsidering the time-delay in control input channel and the nonlinear spring stiffness characteristics of suspension, a quarter-vehicle magneto rheological active suspension nonlinear model with time-delay is established in this paper. Based on the time-delay nonlinear model, an adaptive neural network structure for magneto rheological active suspension is presented. By recognizing and training the adaptive neural network, the adaptive neural network active suspension controller is obtained. Simulation results show that the presented method can guarantee that the quarter-vehicle magneto rheological active suspension system has satisfying performance on the E_level very poor ground.http://dx.doi.org/10.1155/2014/765871 |
| spellingShingle | Yue Zhu Sihong Zhu Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control Abstract and Applied Analysis |
| title | Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control |
| title_full | Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control |
| title_fullStr | Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control |
| title_full_unstemmed | Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control |
| title_short | Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control |
| title_sort | nonlinear time delay suspension adaptive neural network active control |
| url | http://dx.doi.org/10.1155/2014/765871 |
| work_keys_str_mv | AT yuezhu nonlineartimedelaysuspensionadaptiveneuralnetworkactivecontrol AT sihongzhu nonlineartimedelaysuspensionadaptiveneuralnetworkactivecontrol |