Stabilization of A Single Chamber Single Population Microbial Fuel Cell by Using of a Novel Nonlinear Adaptive Sliding Mode Control
Bibliographic Data
| ID | 19518116 |
|---|---|
| Authors | Xiuwei Fu (0000-0003-4489-0263, Jilin University of Chemical Technology), Li Fu (0000-0002-5957-7790, Jilin University of Chemical Technology), Hashem Imani Marrani (Islamic Azad University Ardabil, corresponding author) |
| Year | 2021 |
| Volume | 24 |
| Issue | 1 |
| Pages | 14-20 |
| Publication date | 2021-03-31 |
| Open Access | No |
| Type | ARTICLE |
| Venue | New Materialisms (JOURNAL) |
| Journal identifiers | ISSN: 1480-2422 • E-ISSN: 2292-1168 |
| Publisher | Journal of New Materials for Electrochemical Systems (PUBLISHER) |
| DOI | 10.14447/jnmes.v24i1.a03 |
| OpenAlex | W3141944421 |
| Language | EN |
| Citations received | 1 |
The microbial fuel cell is one of the most important tools in the supply of renewable energy and its controller plays an important role in improving the performance and stability of its output. Using the advantages of adaptive and sliding mode methods, this paper presents a combined technique to ensure the stability and output voltage stabilization of the fuel cell in the presence of parametric uncertainties and nonlinear terms. The proposed control method is compared with classical control approaches and the simulation results confirm its efficiency
Adaptive control · Biology · Control engineering · Electricity generation · Fuel cells · Microbial fuel cell · Nonlinear system · Parametric statistics · Physics · Population · Single chamber · Sliding mode control · Voltage · Chemical Engineering · Computer Science · Electrocatalysts for Energy Conversion · Engineering · Mathematics · Microbial Fuel Cells and Bioremediation · Neuroscience and Neural Engineering · Artificial Intelligence · Biomedical Engineering
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |