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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang Zhen Wang Yan Liu Fanming Liu Zhilin |
| Copyright Year | 2014 |
| Description | Author affiliation: No.703 Res. Inst., CSIC, Harbin, China (Wang Yan) || Coll. of Autom., Harbin Eng. Univ., Harbin, China (Yang Zhen; Liu Fanming; Liu Zhilin) |
| Abstract | In order to realize path following control for underactuated surface vessels under parameter perturbation and external disturbances, a neural sliding mode controller is presented based on visible distance. The desired position and the current position are used to determine the reference surge velocity and yawing angle by using visible distance, which are employed as the virtual control laws in stabilizing the position errors. Then, a new nonlinear feedback robust controller is designed based on neural network and sliding modes to realize the tracking control of the virtual control laws without determining upper bound of parameter perturbation and external disturbances. The problem of saturation and chattering of the controller are circumvented. The results of simulation experiments indicate that the controller is robust against parameter perturbation and external disturbances. Moreover, the path following control with can be achieved by the proposed control method. |
| Starting Page | 7858 |
| Ending Page | 7863 |
| File Size | 560678 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789881563873 |
| ISSN | 19341768 |
| DOI | 10.1109/ChiCC.2014.6896312 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | TCCT, CAA |
| Subject Keyword | Automation Underactuated surface vessel Neural networks Sliding mode Abstracts Visible distance Path following Educational institutions Robustness Electronic mail Neural network Surges |
| Content Type | Text |
| Resource Type | Article |
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