Comparing fuzzy rule-based MPPT techniques for fuel cell stack applications
Objective
The main objective of this project is to compare fuzzy based MPPT techniques (Mamdani & Sugeno controllers) for fuel cell stack applications.
Abstract
In this Paper presents, Fuel cells are also candidates for maximum power extraction as their output powers are affected by internal limitations and operating parameters. At each operating time, the system needs to be constrained through MPPT controllers to provide continuously as much power as possible to avoid low efficiency and excessive fuel use. Various techniques can be employed for MPPT controllers design. This paper investigates MPPT controllers based on fuzzy inference system techniques; the objective is to compare Mamdani and Sugeno controllers’ time response. The investigation is conducted on a 50 kW PEMFC stack coupled to a power electronics converter and a DC load. The simulation is carried out under Mat lab/Simulink environment.
Keywords: Fuel Cell, Pulse Generator, Fuzzy Logic Controller, DC-DC Converters, Maximum Power Point Tracking.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB / 4 GB (Min)
Processor : I3 / I5(Mostly prefer)
Learning Outcomes
- Introduction to Matlab/Simulink
- What is EISPACK & LINPACK
- How to start with MATLAB
- About Matlab language
- About tools & libraries
- Application of Matlab/Simulink
- About Matlab desktop
- Features of Matlab/Simulink
- Basics on Matlab/Simulink
- Introduction to controllers.
- Study of PWM techniques.
- Project Development Skills:
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Related Projects
Paper Publishing
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