Abstract
In this paper, a novel control method is proposed using barrier Lyapunov function and conventional sliding mode control such that the finite time tracking is achieved. The proposed controller is robust to matched perturbations and a settling time calculation is provided such that the tracking error is within an acceptable value. Furthermore, if output of system is initially in a realistic bound, it is guaranteed to stay in that bound for all future time. The stability analysis of designed controller is presented based on Lyapunov theorem. The simulations are conducted for two numerical examples. In first example, the stabilization of a double integrator without disturbance is considered and phase portrait of states is shown graphically to analyze the controller. In second example, the tracking of single inverted pendulum is simulated in presence of disturbances. The results show the efficacy of the proposed controller.
| Original language | English |
|---|---|
| Title of host publication | 2021 International Conference on Robotics and Automation in Industry, ICRAI 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665423434 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 4th International Conference on Robotics and Automation in Industry, ICRAI 2021 - Rawalpindi, Pakistan Duration: 26 Oct 2021 → 27 Oct 2021 |
Publication series
| Name | 2021 International Conference on Robotics and Automation in Industry, ICRAI 2021 |
|---|
Conference
| Conference | 4th International Conference on Robotics and Automation in Industry, ICRAI 2021 |
|---|---|
| Country/Territory | Pakistan |
| City | Rawalpindi |
| Period | 26/10/21 → 27/10/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Barrier sliding mode
- Constrained control
- Finite time control nonsingular finite time control
- Robust constrained control
ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Control and Optimization
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