Design and Simulation Analysis of a Cascaded H Bridge Multilevel Inverter Using Model Predictive Control Scheme
DC power is converted to AC power by inverters. Conventional two-level inverters producing ideal square wave have high total harmonic distortion (THD) and low efficiency that cause many adverse effects on the power system. Multilevel inverters mitigate this issue by producing a waveform with many st
Project Title
Design and Simulation Analysis of a Cascaded H Bridge Multilevel Inverter Using Model Predictive Control Scheme
Project Area of Specialization
Project Summary
DC power is converted to AC power by inverters. Conventional two-level inverters producing ideal square wave have high total harmonic distortion (THD) and low efficiency that cause many adverse effects on the power system. Multilevel inverters mitigate this issue by producing a waveform with many steps/levels of DC voltage. Resulting waveform gets closer to pure sinewave related directly to the increasing number of levels. Consequently, THD percentage is reduced, and the efficiency of the inverter is increased. Cascaded H-Bridge topology provides modularity, low switching losses and high efficiency as compared to other popular topologies. Model Predictive Control enhances dynamic response time and allows for system non-linearities, constraints, and optimization. This project focuses on the detailed study, analysis and development of Cascaded H-Bridge Multilevel Inverter simulation model & prototype incorporating Model Predictive Control.
Project Objectives
This project aims to undertake detailed study and analysis of cascaded H-bridge multilevel inverter (CHB-MI) to reduce the total harmonic distortion (THD) level and apply the model predictive control approach in the proposed multilevel inverter. In this context, following are the key objectives of this study:
- To develop a simulation model of CHB-MI
- A detailed analysis of simulation model of CHB-MI on various levels (3,5,7 etc.)
- Assessment of THD on various level of CHB-MI
- Implementation of model predictive control algorithm approach on CHB-MI
- Finally, Designing the proposed prototype of CHB-MI with above control approach
Project Implementation Method
The methodology employed in this project is based on simulation design, analysis and control of CHB-MI. Figure below illustrates the analytical framework of proposed methodology.
This framework shows the basic methodology of project with defined aims and objectives. It helps us to assess the output response and THD level of CHB-MI at multi-stages. Moreover, the MPC control approach will be applied to CHB-MI to suitably achieve multiple control objectives such as: output current regulation and voltage control. At the end, the protype of CHB-MI will be developed incorporating MPC approach and validation of simulation results will be examined.
Benefits of the Project
There are many benefits of the project. Benefits are divided into two parts, Cascaded H-Bridge (CHB) Multilevel Inverter(MLI) benefits and Model Predictive Control (MPC) benefits.
CHB MLI benefits:
- higher output voltage at low switching frequency
- low voltage stress (dv/dt)
- lower total harmonic distortion (THD)
- less electromagnetic interference (EMI)
- smaller output filter
- higher fundamental output.
MPC benefits:
- •Most widely used control algorithm in material and chemical processing industries.
- Increased consistency of discharge quality. Reduced off-specs productsduring grade changeover. Increased throughput. Minimizing the operating cost while meeting constraints (optimization, economic).
- Superior for processes with large number of manipulated and controlled variables (Multivariable, strong coupling)
- Allows constraints to be imposed on both MV and CV. The ability to operate closer to constraints. (constraints)
- Allow time delays, inverse response, inherent nonlinearities (difficult dynamics), changing control objectives and sensor failure. (predictive)
Technical Details of Final Deliverable
Prototype model of Cascaded Half Bridge Multilevel inverter using Model Predictive Control scheme will delivered. Thus simulation model results will be verified with hardware model. Comparision and analytical prove that CHB MLI with MPC is better than other techniques will be given.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Microcontroller | Equipment | 1 | 30000 | 30000 |
| Currnet Transformer(CT) | Equipment | 1 | 1000 | 1000 |
| Potential Transformer(PT) | Equipment | 1 | 1000 | 1000 |
| Main step up transformer | Equipment | 1 | 5000 | 5000 |
| IGBT | Equipment | 20 | 600 | 12000 |
| 12v Power Supplies | Equipment | 3 | 2000 | 6000 |
| Filter Capacitor | Equipment | 1 | 1000 | 1000 |
| Filter Inductor | Equipment | 1 | 2000 | 2000 |
| RL Load | Equipment | 1 | 1000 | 1000 |
| Wire Jumpers | Equipment | 30 | 20 | 600 |
| Soldering Station | Equipment | 1 | 5000 | 5000 |
| PCB Manufactturing | Equipment | 1 | 3000 | 3000 |
| Multimeter | Equipment | 1 | 2000 | 2000 |
| Wooden Board and fixtures | Miscellaneous | 1 | 2000 | 2000 |
| Printing costs | Miscellaneous | 1 | 5000 | 5000 |
| Stationary and travel | Miscellaneous | 1 | 3000 | 3000 |
| Total in (Rs) | 79600 |
If you need this project, please contact me on contact@adikhanofficial.com
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