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Abstract
Series elastic actuators (SEAs) have prominent advantages in safe robot control due to its compliant mechanical design. Although existing SEA-driven robots can ensure safety at the hardware level, achieving safety guarantees at the control level is still underexplored in the literature. In this work, we aim to develop a safety control method for SEA-driven manipulators with nonovershooting guarantees. Specifically, a nonovershooting control method is proposed for SEA-driven robotic manipulators. Sufficient initial conditions and gain selections are derived to achieve that the output position of the manipulator tracks an arbitrarily time-varying reference without overshoot and the tracking error asymptotically converges to zero from below. In addition, an approximately nonovershooting control method is also proposed in the presence of disturbance, which exists in both the robot and actuator dynamics. By this method, the amount of the overshoot can be made arbitrarily small by appropriately tuning gain parameters. Simulation results demonstrate the obtained results.
| Original language | English |
|---|---|
| Title of host publication | 2026 38th Chinese Control and Decision Conference (CCDC): Proceedings |
| Publisher | IEEE |
| Pages | 6945-6949 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798331550707 |
| DOIs | |
| Publication status | Published - May 2026 |
| Event | 2026 38th Chinese Control and Decision Conference (CCDC) - Nanjing, China Duration: 15 May 2026 → 18 May 2026 |
Publication series
| Name | Chinese Control and Decision Conference Proceedings |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1948-9439 |
| ISSN (Electronic) | 1948-9447 |
Conference
| Conference | 2026 38th Chinese Control and Decision Conference (CCDC) |
|---|---|
| Abbreviated title | CCDC 2026 |
| Country/Territory | China |
| City | Nanjing |
| Period | 15/05/26 → 18/05/26 |
Funding
This work was supported by Natural Science Foundation of Jiangsu Province under Grant BK20230261, and in part by the National Natural Science Foundation of China under Grant No. 62403233, and in part by the Hong Kong Research Grants Council under the General Research Fund (16206324,13300525) and by Lingnan University under Grant SDS24A15 and DR26F4.
Keywords
- Backstepping
- nonovershooting control
- series elastic actuators
- robotic manipulators
Fingerprint
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- 4 Active
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Elementary majorization-based partial order programming for privacy and security applications
MO, Y. (PI)
1/01/26 → 31/07/27
Project: Grant Research
-
Reduced-dimensional predictor learning of co-dynamic data from dynamic systems (源于動態系統的共同動態數據的降維預測學習)
QIN, S. J. (PI) & MO, Y. (CoI)
Research Grants Council (Hong Kong, China)
1/01/26 → 31/12/28
Project: Grant Research
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Secure State Estimation in Industrial IoT via Reduced-Dimensional Data Coding
MO, Y. (PI)
1/07/25 → 30/06/27
Project: Grant Research
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