Loading...
Please wait, while we are loading the content...
Similar Documents
A Novel Adaptive PID Controller Design for a PEM Fuel Cell Using Stochastic Gradient Descent with Momentum Enhanced by Whale Optimizer
| Content Provider | MDPI |
|---|---|
| Author | Silaa, Mohammed Yousri Barambones, Oscar Bencherif, Aissa |
| Copyright Year | 2022 |
| Description | This paper presents an adaptive PID using stochastic gradient descent with momentum (SGDM) for a proton exchange membrane fuel cell (PEMFC) power system. PEMFC is a nonlinear system that encounters external disturbances such as inlet gas pressures and temperature variations, for which an adaptive control law should be designed. The SGDM algorithm is employed to minimize the cost function and adapt the PID parameters according to the perturbation changes. The whale optimization algorithm (WOA) was chosen to enhance the adaptive rates in the offline mode. The proposed controller is compared with PID stochastic gradient descent (PIDSGD) and PID Ziegler Nichols tuning (PID-ZN). The control strategies’ robustnesses are tested under a variety of temperatures and loads. Unlike the PIDSGD and PID-ZN controllers, the PIDSGDM controller can attain the required control performance, such as fast convergence and high robustness. Simulation results using Matlab/Simulink have been studied and illustrate the effectiveness of the proposed controller. |
| Starting Page | 2610 |
| e-ISSN | 20799292 |
| DOI | 10.3390/electronics11162610 |
| Journal | Electronics |
| Issue Number | 16 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-20 |
| Access Restriction | Open |
| Subject Keyword | Electronics Industrial Engineering Stochastic Gradient Descent with Momentum Stochastic Gradient Descent Pid Controller Whale Optimization Algorithm Proton Exchange Membrane Fuel Cell |
| Content Type | Text |
| Resource Type | Article |
