Journal Article10.3390/su151813823
PEMFC Current Control Using a Novel Compound Controller Enhanced by the Black Widow Algorithm: A Comprehensive Simulation Study
Mohammed Yousri Silaa,Oscar Barambones,José Antonio Cortajarena,Patxi Alkorta,Aissa Bencherif +4 more
2
TL;DR: Novel compound controller enhanced by the black widow algorithm improves PEMFC current control, reducing response time and chattering effect.
read more
Abstract: Proton exchange membrane fuel cells (PEMFCs) play a crucial role in clean energy systems. Effective control of these systems is essential to optimize their performance. However, conventional control methods exhibit limitations in handling disturbances and ensuring robust control. To address these challenges, this paper presents a novel PI sliding mode controller-based super-twisting algorithm (PISMCSTA). The proposed controller is applied to drive the DC/DC boost converter in order to improve the PEMFC output power quality. In addition, the black widow optimization algorithm (BWOA) has been chosen to enhance and tune the PISMCSTA parameters according to the disturbance changes. The performance of the PISMCSTA is compared with the conventional STA controller. Comparative results are obtained from numerical simulations and these results show that the developed proposed PISMCSTA gives better results when compared to the conventional STA. A reduction of up to 8.7% in the response time could be achieved and up to 66% of the chattering effect could be eliminated by using the proposed controller. Finally, according to these results, the proposed approach can offer an improvement in energy consumption.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A New MPPT-Based Extended Grey Wolf Optimizer for Stand-Alone PV System: A Performance Evaluation versus Four Smart MPPT Techniques in Diverse Scenarios
TL;DR: A performance evaluation of a novel extended grey wolf optimizer (EGWO) techniques demonstrates that the novel EGWO outperforms the GWO, EOA, PSO and SCA techniques and shows fast tracking speed, superior dynamic response, high robustness and minimal power fluctuations across both STC and variable conditions.
13
Indirect Adaptive Control Using Neural Network and Discrete Extended Kalman Filter for Wheeled Mobile Robot
TL;DR: The proposed IAPIDNN-DEKF scheme uses the NN to identify the system Jacobian, which is used for tuning the PID gains using the stochastic gradient descent algorithm (SGD), and the DEKF is proposed for state estimation (localization), and the NN adaptation improves the tracking error performance.
5
References
Sliding order and sliding accuracy in sliding mode control
TL;DR: It turns out that the deviation of the system from its prescribed constraints (sliding accuracy) is proportional to the switching time delay and a new class of sliding modes and algorithms is presented and the concept of sliding mode order is introduced.
3K
•Book
Sliding Mode Control and Observation
Yuri B. Shtessel,Christopher Edwards,Leonid Fridman,Arie Levant +3 more
- 01 Jun 2013
TL;DR: The sliding mode control and observation (SOMO) approach has proven to be effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics as discussed by the authors.
2.6K
Sliding controller design for non-linear systems
TL;DR: In this paper, a trade-off between tracking precision and robustness to modelling uncertainty is presented, where tracking accuracy is sot according to the extent, of parametric uncertainty and the frequency range of unmodelled dynamics.
1.2K
Pollution from Fossil-Fuel Combustion is the Leading Environmental Threat to Global Pediatric Health and Equity: Solutions Exist
TL;DR: The purpose of this commentary is to briefly review the data on the health impacts of fossil-fuel pollution, highlighting the neurodevelopmental impacts, and to briefly describe available means to achieve a low-carbon economy, and some examples of interventions that have benefited health and the economy.
Black Widow Optimization Algorithm: A novel meta-heuristic approach for solving engineering optimization problems
TL;DR: The results indicate that the proposed BWO algorithm has numerous advantages in different aspects such as early convergence and achieving optimized fitness value compared to other algorithms, and has the capability of providing competitive and promising results.
665