An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances
Considering the system uncertainties, such as parameter changes, modeling error, and external uncertainties, a radial basis function neural network (RBFNN) controller using the direct inverse method with the satisfactory stability for improving universal function approximation ability, convergence,...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/4034320 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832548376684527616 |
|---|---|
| author | Shengquan Li Juan Li Yanqiu Shi |
| author_facet | Shengquan Li Juan Li Yanqiu Shi |
| author_sort | Shengquan Li |
| collection | DOAJ |
| description | Considering the system uncertainties, such as parameter changes, modeling error, and external uncertainties, a radial basis function neural network (RBFNN) controller using the direct inverse method with the satisfactory stability for improving universal function approximation ability, convergence, and disturbance attenuation capability is advanced in this paper. The weight adaptation rule of the RBFNN is obtained online by Lyapunov stability analysis method to guarantee the identification and tracking performances. The simulation example for the position tracking control of PMSM is studied to illustrate the effectiveness and the applicability of the proposed RBFNN-based direct inverse control method. |
| format | Article |
| id | doaj-art-0615f26f50b54e9abe7ddab1613c2009 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0615f26f50b54e9abe7ddab1613c20092025-02-03T06:14:12ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/40343204034320An RBFNN-Based Direct Inverse Controller for PMSM with DisturbancesShengquan Li0Juan Li1Yanqiu Shi2School of Hydraulic, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, ChinaSchool of Hydraulic, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, ChinaSchool of Hydraulic, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, ChinaConsidering the system uncertainties, such as parameter changes, modeling error, and external uncertainties, a radial basis function neural network (RBFNN) controller using the direct inverse method with the satisfactory stability for improving universal function approximation ability, convergence, and disturbance attenuation capability is advanced in this paper. The weight adaptation rule of the RBFNN is obtained online by Lyapunov stability analysis method to guarantee the identification and tracking performances. The simulation example for the position tracking control of PMSM is studied to illustrate the effectiveness and the applicability of the proposed RBFNN-based direct inverse control method.http://dx.doi.org/10.1155/2018/4034320 |
| spellingShingle | Shengquan Li Juan Li Yanqiu Shi An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances Complexity |
| title | An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances |
| title_full | An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances |
| title_fullStr | An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances |
| title_full_unstemmed | An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances |
| title_short | An RBFNN-Based Direct Inverse Controller for PMSM with Disturbances |
| title_sort | rbfnn based direct inverse controller for pmsm with disturbances |
| url | http://dx.doi.org/10.1155/2018/4034320 |
| work_keys_str_mv | AT shengquanli anrbfnnbaseddirectinversecontrollerforpmsmwithdisturbances AT juanli anrbfnnbaseddirectinversecontrollerforpmsmwithdisturbances AT yanqiushi anrbfnnbaseddirectinversecontrollerforpmsmwithdisturbances AT shengquanli rbfnnbaseddirectinversecontrollerforpmsmwithdisturbances AT juanli rbfnnbaseddirectinversecontrollerforpmsmwithdisturbances AT yanqiushi rbfnnbaseddirectinversecontrollerforpmsmwithdisturbances |