Passivity-Based Model Predictive Control of Three-Level Inverter-Fed Induction Motor
Objective
The main objective of this project is steady-state performance is improved because of the attenuation of the impacts caused by the noises and the mismatched. And the computational burden is also reduced.
Abstract
In this project, a Passivity-Based Model Predictive Control (PB-MPC) scheme is presented. For an ideal system, the PB-MPC has a similar character as the FCS-MPC. In real applications, where noises and disturbances impact the system more or less, PB-MPC outperforms FCS-MPC due to the power shaping and damping injection inherited from passivity-based control (PBC) which ensures the asymptotic stability.
A Lyapunov function is designed to prove the stability of the proposed scheme. The stability and efficiency are verified by using simulation in MATLAB/SIMULINK.
Keywords: Model predictive control, passivity-based control, three-level neutral point clamped converter, induction motor.
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 motors.
- Study of induction Motor.
- Design of induction Motor.
- Design of neutral point clamped voltage source converter.
- Introduction to electrical drives.
- Analysis of power converters.
- Introduction to controllers.
- We can learn about synchronous reference frame theory.
- We can learn about Clark’s transformation.
- Design of pi controller.
- Introduction to the types of filters.
- Introduction to closed loop, open loop control methods.
- Study of PWM techniques.
- Introduction to various types of loads.
- Design of space vector pulse width modulation.
- Design of passivity based model predictive Control.
- Study of passivity based model predictive Control.
- Introduction to Lyapunov function.
- 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
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