RBFNN Variable Structure Controller for MIMO System and Application to Ship Rudder/Fin Joint Control
Aiming at a class of multiple-input multiple-output (MIMO) system with uncertainty, a sliding mode control algorithm based on neural network disturbance observer is designed and applied to ship yaw and roll joint stabilization. The nonlinear disturbance observer is finished by radial basis function...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2014-12-01.
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| Online Access: | Get fulltext |
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| LEADER | 02120 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs3933_2471 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Zhen, Han Yao |e author |
| 700 | 1 | 0 | |a Xiao, Hairong |e author |
| 245 | 0 | 0 | |a RBFNN Variable Structure Controller for MIMO System and Application to Ship Rudder/Fin Joint Control |
| 260 | |b Institute of Advanced Engineering and Science, |c 2014-12-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3933 | ||
| 520 | |a Aiming at a class of multiple-input multiple-output (MIMO) system with uncertainty, a sliding mode control algorithm based on neural network disturbance observer is designed and applied to ship yaw and roll joint stabilization. The nonlinear disturbance observer is finished by radial basis function neural network and with that a terminal sliding mode control algorithm is proposed. The asymptotic stability of closed-loop system is proved based on Lyapunov theorem. The proposed control law is applied to anti-roll control under simulative wave disturbances. Simulation results verified robustness and effectiveness of the suggested algorithm. A good anti-rolling effect is achieved and yaw angle is also reduced greatly with less mechanical loss. | ||
| 540 | |a Copyright (c) 2014 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a sliding mode; radial basis function neural network; disturbance observer; roll/yaw; ship anti-roll | ||
| 690 | |a sliding mode; radial basis function neural network; disturbance observer; roll/yaw; ship anti-roll | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 12: December 2014; 8166-8174 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i12 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3933/2471 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3933/2471 |z Get fulltext |