Abstract
This study proposes a novel Disturbance Observer based Adaptive Backstepping Sliding Mode Controller (DOABS-SMC) to overcome the adverse effects of parametric uncertainties and external disturbances on a single-phase inverter in stand-alone power supply mode in addition to improving the tracking time of the output voltage. Firstly, the dynamical model of the inverter in stand-alone power supply mode is established with parametric uncertainties. Thereafter, a traditional Backstepping controller (BSC) is combined with disturbance observers (DO) to remove the adverse effects of the disturbances and confirm the system's stability. To ensure the robustness of the controller, an SMC is combined with the BSC to further improve the performance of the controller. The effectiveness of the proposed controller is then experimentally verified by comparing it with traditional BSC and PID controllers. The results indicated that the proposed controller's performance is better than the other ones under the parametric disturbances and changing load.
Original language | English |
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Title of host publication | 2023 International Conference on Emerging Power Technologies, ICEPT 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350301014 |
DOIs | |
State | Published - 2023 |
Event | 2023 International Conference on Emerging Power Technologies, ICEPT 2023 - Topi, Pakistan Duration: 6 May 2023 → 7 May 2023 |
Publication series
Name | 2023 International Conference on Emerging Power Technologies, ICEPT 2023 |
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Conference
Conference | 2023 International Conference on Emerging Power Technologies, ICEPT 2023 |
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Country/Territory | Pakistan |
City | Topi |
Period | 6/05/23 → 7/05/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Backstepping
- MATLAB
- disturbance observer
- inverter
- sliding mode
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
- Instrumentation