Abstract
Many important engineering systems can be classified as Euler–Lagrange (EL) systems. In this work we develop a new Proportional-Integral-Derivative (PID) -based tracking control solution for uncertain EL systems subject to actuation failures and saturation. Two set of control algorithms are developed using robust adaptive and neuroadaptive methods, which are shown to exhibit several salient features: (1) the control schemes are of PID form, hence is characterized with simplicity in structure and intuition in concept; (2) the PID gains in the scheme are automatically updated by analytic algorithms with no need for manual tuning, rendering the control scheme more user-friendly; and (3) the developed control algorithms are robust against nonvanishing disturbances, adaptive to unknown virtual parameter and immune to partial actuation effectiveness faults.
| Original language | English |
|---|---|
| Pages (from-to) | 2705-2721 |
| Number of pages | 17 |
| Journal | International Journal of Robust and Nonlinear Control |
| Volume | 32 |
| Issue number | 5 |
| Early online date | 5 May 2021 |
| DOIs | |
| Publication status | Published - Mar 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 John Wiley & Sons Ltd.
Funding
This work was support in part by Zhejiang Laboratory under Grant 2019NB0AB06 and in part by National Natural Science Foundation of China under Grant 61833013, 61773081, 61860206008, and 61933012.
Keywords
- actuator failure
- actuator saturation
- fault tolerance
- neural network learning
- robust adaptive