| WANG Xiaojing (王晓晶)*,GAO Wentao*,ZHANG Yuxuan*,SUN Yuwei**.[J].高技术通讯(英文),2025,31(3):280~287 |
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| Parameter identification and high order active disturbance rejection control of electro-hydraulic servo motor system |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 03. 008 |
| 中文关键词: |
| 英文关键词: electro-hydraulic servo system, tracking differentiator filter, minimum mean square error identification, advanced disturbance rejection controller, nonlinear feedback controllaw, extended state observer, parameter optimal proportional integral derivative control |
| 基金项目: |
| Author Name | Affiliation | | WANG Xiaojing (王晓晶)* | (* Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicle,
Beijing University of Civil Engineering and Architecture, Beijing 102616, P. R. China,Beijing University of Civil Engineering and Architecture, Beijing 102616, P. R. China)
(** School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, P. R. China) | | GAO Wentao* | | | ZHANG Yuxuan* | | | SUN Yuwei** | |
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| 中文摘要: |
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| 英文摘要: |
| An enhanced least mean square ( LMS) error identification algorithm integrated with Kalman filtering is proposed to resolve accuracy degradation induced by nonlinear dynamics and parameter uncertainties in continuous rotary electro-hydraulic servo systems. This enhancement accelerates convergence and improves accuracy compared with traditional LMS. A fifth-order identification model is developed based on valve-controlled hydraulic motors, with parameters identified using Kalman filter state estimation and gradient smoothing. The results indicate that the improved LMS effectively enhances parameter identification. An advanced disturbance rejection controller ( ADRC) is designed, and its performance is compared with an optimal proportional integral derivative (PID) controller through Simulink simulations. The results show that the ADRC fulfills the control specifications and expands the system’s operational bandwidth. |
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