Dynamic Surface Tracking Control for Nonlinear Constraints
An adaptive control scheme based on dynamic surface control (DSC), and intelligent control techniques is developed for a 3-DOF helicopter with unknown disturbance and asymmetric saturation. The reconstructed dynamic neural network (NN) is established to compensate for nonlinear terms in real-time. A...
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| Published in | Journal of physics. Conference series Vol. 2868; no. 1; pp. 12027 - 12038 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.10.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1742-6588 1742-6596 |
| DOI | 10.1088/1742-6596/2868/1/012027 |
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| Abstract | An adaptive control scheme based on dynamic surface control (DSC), and intelligent control techniques is developed for a 3-DOF helicopter with unknown disturbance and asymmetric saturation. The reconstructed dynamic neural network (NN) is established to compensate for nonlinear terms in real-time. A designed smooth nonlinear sigmoid function is used to model saturation nonlinearity. The combination of dynamic surface control with adaptive intelligent control techniques resolves and improves the tracking and robust performance of the system. The stability and ultimately bound of all signals of the controlled system are demonstrated by theoretical analysis. Numerical results prove the feasibility of the presented control scheme. |
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| AbstractList | An adaptive control scheme based on dynamic surface control (DSC), and intelligent control techniques is developed for a 3-DOF helicopter with unknown disturbance and asymmetric saturation. The reconstructed dynamic neural network (NN) is established to compensate for nonlinear terms in real-time. A designed smooth nonlinear sigmoid function is used to model saturation nonlinearity. The combination of dynamic surface control with adaptive intelligent control techniques resolves and improves the tracking and robust performance of the system. The stability and ultimately bound of all signals of the controlled system are demonstrated by theoretical analysis. Numerical results prove the feasibility of the presented control scheme. |
| Author | Li, Wang |
| Author_xml | – sequence: 1 givenname: Wang surname: Li fullname: Li, Wang organization: Nanjing Vocational University of Industry Technology , Nanjing, China |
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| ContentType | Journal Article |
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| DOI | 10.1088/1742-6596/2868/1/012027 |
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| SubjectTerms | Adaptive control Adaptive systems asymmetric saturation Control stability DSC external disturbance Helicopter control Neural networks Nonlinear control nonlinear system Nonlinearity Real time Robust control Surface stability Tracking control |
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| Title | Dynamic Surface Tracking Control for Nonlinear Constraints |
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