Model Predictive Control Projects for ME, MTech, Masters, MS abroad, and PhD electrical engineering students. These Model Predictive Control IEEE projects are implemented with future work and extension for final year students with research paper writing and publishing. These EEE research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Latest Model Predictive Control Projects

  1. A Novel Cooperative Control for SMES/Battery Hybrid Energy Storage in PV Grid-Connected System
    This project focuses on keeping solar power systems stable when sunlight changes. It uses a smart control method that manages both a battery and a magnetic storage unit to balance the power. One part of the system smooths sudden changes, while another keeps the system voltage steady. Together, they help the solar system supply cleaner and more stable power to the grid.
  2. Torque Ripple Suppression of BLDCM With Optimal Duty Cycle and Switch State by FCS-MPC
    This project improves the performance of brushless DC motors. It reduces unwanted torque changes that make the motor uneven. The method predicts motor currents and adjusts the control signals to keep motion smooth. Experiments show it works better than traditional methods.
  3. A Model Predictive Control Method for Hybrid Energy Storage Systems
    This project focuses on improving how energy storage systems, like batteries and ultra-capacitors, work together in a small power grid. It replaces the old control method with a smarter one that predicts how the system should behave. This helps keep the voltage steady, reduces unwanted fluctuations, and lets the battery and ultra-capacitor share power efficiently. The approach is tested in simulations and works better than traditional controllers.
Did you like this research project?

To get this research project Guidelines, Training and Code…