Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration
To satisfy the lightweight requirements of large pipe weapons, a novel electrohydraulic servo (EHS) system where the hydraulic cylinder possesses three cavities is developed and investigated in the present study. In the EHS system, the balancing cavity of the EHS is especially designed for active co...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/4921095 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560605817470976 |
|---|---|
| author | Qiang Gao Yuanlong Hou Kang Li Zhan Sun Chao Wang Runmin Hou |
| author_facet | Qiang Gao Yuanlong Hou Kang Li Zhan Sun Chao Wang Runmin Hou |
| author_sort | Qiang Gao |
| collection | DOAJ |
| description | To satisfy the lightweight requirements of large pipe weapons, a novel electrohydraulic servo (EHS) system where the hydraulic cylinder possesses three cavities is developed and investigated in the present study. In the EHS system, the balancing cavity of the EHS is especially designed for active compensation for the unbalancing force of the system, whereas the two driving cavities are employed for positioning and disturbance rejection of the large pipe. Aiming at simultaneously balancing and positioning of the EHS system, a novel neural network based active disturbance rejection control (NNADRC) strategy is developed. In the NNADRC, the radial basis function (RBF) neural network is employed for online updating of parameters of the extended state observer (ESO). Thereby, the nonlinear behavior and external disturbance of the system can be accurately estimated and compensated in real time. The efficiency and superiority of the system are critically investigated by conducting numerical simulations, showing that much higher steady accuracy as well as system robustness is achieved when comparing with conventional ADRC control system. It indicates that the NNADRC is a very promising technique for achieving fast, stable, smooth, and accurate control of the novel EHS system. |
| format | Article |
| id | doaj-art-8a35451929604f1b98cf84a304c34b3b |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-8a35451929604f1b98cf84a304c34b3b2025-02-03T01:27:10ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/49210954921095Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation ConfigurationQiang Gao0Yuanlong Hou1Kang Li2Zhan Sun3Chao Wang4Runmin Hou5School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, ChinaInstitute of North Automatic Control Technology, Taiyuan 030006, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, ChinaTo satisfy the lightweight requirements of large pipe weapons, a novel electrohydraulic servo (EHS) system where the hydraulic cylinder possesses three cavities is developed and investigated in the present study. In the EHS system, the balancing cavity of the EHS is especially designed for active compensation for the unbalancing force of the system, whereas the two driving cavities are employed for positioning and disturbance rejection of the large pipe. Aiming at simultaneously balancing and positioning of the EHS system, a novel neural network based active disturbance rejection control (NNADRC) strategy is developed. In the NNADRC, the radial basis function (RBF) neural network is employed for online updating of parameters of the extended state observer (ESO). Thereby, the nonlinear behavior and external disturbance of the system can be accurately estimated and compensated in real time. The efficiency and superiority of the system are critically investigated by conducting numerical simulations, showing that much higher steady accuracy as well as system robustness is achieved when comparing with conventional ADRC control system. It indicates that the NNADRC is a very promising technique for achieving fast, stable, smooth, and accurate control of the novel EHS system.http://dx.doi.org/10.1155/2016/4921095 |
| spellingShingle | Qiang Gao Yuanlong Hou Kang Li Zhan Sun Chao Wang Runmin Hou Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration Shock and Vibration |
| title | Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration |
| title_full | Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration |
| title_fullStr | Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration |
| title_full_unstemmed | Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration |
| title_short | Neural Network Based Active Disturbance Rejection Control of a Novel Electrohydraulic Servo System for Simultaneously Balancing and Positioning by Isoactuation Configuration |
| title_sort | neural network based active disturbance rejection control of a novel electrohydraulic servo system for simultaneously balancing and positioning by isoactuation configuration |
| url | http://dx.doi.org/10.1155/2016/4921095 |
| work_keys_str_mv | AT qianggao neuralnetworkbasedactivedisturbancerejectioncontrolofanovelelectrohydraulicservosystemforsimultaneouslybalancingandpositioningbyisoactuationconfiguration AT yuanlonghou neuralnetworkbasedactivedisturbancerejectioncontrolofanovelelectrohydraulicservosystemforsimultaneouslybalancingandpositioningbyisoactuationconfiguration AT kangli neuralnetworkbasedactivedisturbancerejectioncontrolofanovelelectrohydraulicservosystemforsimultaneouslybalancingandpositioningbyisoactuationconfiguration AT zhansun neuralnetworkbasedactivedisturbancerejectioncontrolofanovelelectrohydraulicservosystemforsimultaneouslybalancingandpositioningbyisoactuationconfiguration AT chaowang neuralnetworkbasedactivedisturbancerejectioncontrolofanovelelectrohydraulicservosystemforsimultaneouslybalancingandpositioningbyisoactuationconfiguration AT runminhou neuralnetworkbasedactivedisturbancerejectioncontrolofanovelelectrohydraulicservosystemforsimultaneouslybalancingandpositioningbyisoactuationconfiguration |