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Related Concept Videos

PD Controller: Design01:26

PD Controller: Design

272
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
272
PI Controller: Design01:24

PI Controller: Design

321
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
321
PID Controller01:19

PID Controller

136
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
136
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

136
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
136
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

153
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
153
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

130
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
130

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A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
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MPPT of PEM Fuel Cell Using PI-PD Controller Based on Golden Jackal Optimization Algorithm.

Ahmed M Agwa1,2, Tarek I Alanazi3, Habib Kraiem1,4

  • 1Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia.

Biomimetics (Basel, Switzerland)
|September 27, 2023
PubMed
Summary

Renewable energy storage is crucial due to intermittent sources like solar and wind. This study introduces an optimized controller for proton exchange membrane fuel cells, significantly improving power management and reducing energy loss.

Keywords:
MPPTPEM fuel cellPI-PD controllerbioinspired algorithmsmetaheuristic optimizers

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Area of Science:

  • Renewable Energy Systems
  • Electrochemical Engineering
  • Control Systems

Background:

  • Conventional energy sources pose environmental risks, driving the need for renewable energy (RE).
  • Intermittent RE sources like solar and wind require efficient energy storage solutions.
  • Proton exchange membrane fuel cells (PEM-FCs) are a promising technology for storing and generating electricity from hydrogen.

Purpose of the Study:

  • To address limitations in existing maximum power point tracking (MPPT) techniques for PEM-FCs.
  • To develop an innovative MPPT system for enhanced PEM-FC performance.
  • To improve the efficiency and stability of PEM-FC power output.

Main Methods:

  • Development of a novel MPPT controller combining proportional-integral (PI) and proportional-derivative (PD) controllers.
  • Optimization of controller gains using the golden jackal optimization algorithm (GJOA).
  • Simulation analysis to evaluate the performance of the proposed GJOA-PI-PD controller against other methods.

Main Results:

  • The GJOA-PI-PD controller demonstrated superior performance in MPPT for PEM-FCs.
  • Significant reductions in overshoot (up to 98.26%) and undershoot compared to existing methods.
  • Markedly improved fitness function values (up to 93.95% reduction), indicating higher efficiency.

Conclusions:

  • The proposed GJOA-PI-PD controller offers a highly effective solution for MPPT in PEM-FC systems.
  • This approach enhances response speed and minimizes oscillations, leading to more stable power generation.
  • The study highlights the potential of GJOA-tuned controllers for optimizing renewable energy storage and utilization.