Design of Robust Controller using Neural Network and Sliding Mode
| Autor: | Gun Pyong Kwak, Tae-Sung Yoon, Tae Kue Kim, Min-Chan Kim, Ho Kyun Ahn, Seung Kyu Park |
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| Rok vydání: | 2010 |
| Předmět: |
Artificial neural network
Computer Networks and Communications Computer science Robustness (computer science) Control theory Second-order logic Full state feedback Media Technology Electrical and Electronic Engineering Order system Sliding mode control Eigenvalues and eigenvectors Information Systems |
| Zdroj: | Journal of information and communication convergence engineering. 8:333-338 |
| ISSN: | 2234-8255 |
| DOI: | 10.6109/jicce.2010.8.3.333 |
| Popis: | INTERNATIONAL JOURNAL OF KIMICS, VOL. 8, NO. 3, JUNE 2010 333Abstract— This paper derives a nominal state relationship (NSR) from the data of a nominal system. Through an example of a second order system, it is shown that the relationship can be derived only in the system with different real eigenvalues. In higher order system, the relationship is expressed by using neural network (NN). The derived NSR is used to design a noble sliding surface with a nominal system characteristic. By using the sliding surface, the robustness of the sliding mode control (SMC) is added to the pole-placement control. Index Terms— Nominal state relationship, Pole placement control, Sliding mode, Neural network. |
| Databáze: | OpenAIRE |
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