Abstract
Electrohydraulic systems, which have been widely used in a broad range of applications, are a typical nonlinear system with uncertainties. The presence of nonlinearities, parameter variations degrades the performance of linear controllers, such as the PID controller. As one of the most robust control strategies, sliding mode control methods attract the attention of researchers and are applied to electrohydraulic systems. However, for many applications, only the piston position measurement information is available. Owing to the existence of the nonlinear orifice equation, the observer design is a challenging task and satisfactory performance is not guaranteed in the existing literature. Therefore, an output feedback based high-order sliding mode control (HOSMC) design of electrohydraulic systems is proposed in this paper. By using an exact differentiator, the derivatives of the tracking error are obtained and used to construct the HOSMC. Compared to the conventional sliding mode control (SMC), the HOSMC can achieve a finite-time convergence and improved tracking accuracy. To verify the tracking performance, a simulation is performed on a camless engine valve actuation system.
| Original language | English (US) |
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| Title of host publication | CCTA 2021 - 5th IEEE Conference on Control Technology and Applications |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 759-764 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665436434 |
| DOIs | |
| State | Published - 2021 |
| Event | 5th IEEE Conference on Control Technology and Applications, CCTA 2021 - Virtual, San Diego, United States Duration: Aug 8 2021 → Aug 11 2021 |
Publication series
| Name | CCTA 2021 - 5th IEEE Conference on Control Technology and Applications |
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Conference
| Conference | 5th IEEE Conference on Control Technology and Applications, CCTA 2021 |
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| Country/Territory | United States |
| City | Virtual, San Diego |
| Period | 8/8/21 → 8/11/21 |
Bibliographical note
Funding Information:*This work was supported in part by the Fundamental Research Funds for the Central Universities and in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant KYCX19 0085 1Hao Sun and Shihua Li (the corresponding author) are with the School of Automation, Southeast University, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing 210096, PR China sun hao@seu.edu.cn, lsh@seu.edu.cn 2Zongxuan Sun is with the Department of Mechanical Engineering, University of Minnesota-Twin cities, Minneapolis, Minnesota, 55455, USA zsun@umn.edu
Publisher Copyright:
© 2021 IEEE.