Four Quadrant Operation of BLDC motor using model predictive controller

AC supply is given to transformer which convert it into 12V further on that AC supply is converted into  DC with the help of a diode bridge rectifier. The obtained DC voltage is filtered out and is passed through the DC ? DC converter. Thus obtained continuous voltage which has less voltag

Project Title

Four Quadrant Operation of BLDC motor using model predictive controller

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

AC supply is given to transformer which convert it into 12V further on that AC supply is converted into  DC with the help of a diode bridge rectifier. The obtained DC voltage is filtered out and is passed through the DC – DC converter. Thus obtained continuous voltage which has less voltage ripple is given to the three phase inverter and the signal generated by it is given to the motor driver which further drives the motor.   The motor terminal voltage and current are sensed and is given to controller. Based on the algorithm coded in the controller, it generates the gating pulses which are given to the converter switches through the driver circuit.

Project Objectives

By controlling the four quadrant operation of BLDC motor we can reduce the torque ripple by the help of which the efficiency of the motor can be incresed. when the motor is in regeneration mode we can store the power.

Project Implementation Method

The system design has two main parts
• Software simulation design
• Hardware design
 Software Simulation Design:
This is used for maximum of 600V inverters, it can drive two MOSFET or MOSFET/IGBT at a time because it has Lin and Hin pins. In threephase inverter we have two options of star and delta connection. In delta  connection there less components required so we can design a three-phaseinverter using six MOSFET/IGBTs having three wire output.

Hardware Design:

Their is a circuit design of three phase inverter, motor driver and rectifier. the electricity is first converted to 12V by stepdown transformer and furtherr given to 3phase inverter and after that to thee motor driver which drives the BLDC motor.

Benefits of the Project

The simulation model of BLDC motor drive system with MPC controller is obtained with MATLAB/Simulink. Thus, the obtained torque and speed characteristics are satisfactory to have reduced acoustic noise and vibrations. The Model Predictive Control algorithm used in this work provides satisfactory results which considerably reduced time.  It also predicts the future behavior of the drive system and functions to control the system accordingly. The implement the hardware model is verified with the results obtained from MATLAB Simulink. The system model includes external disturbances such as input voltage fluctuations and mechanical disturbances to the motor. These improvements considerably increase the efficiency of the entire drive systems

Technical Details of Final Deliverable

The simulation model of BLDC motor drive system with MPC controller is obtained with MATLAB/Simulink. Thus, the obtained torque and speed characteristics are satisfactory to have reduced acoustic noise and vibrations. The Model Predictive Control algorithm used in this work provides satisfactory results which considerably reduced time.  It also predicts the future behavior of the drive system and functions to control the system accordingly. The implement the hardware model is verified with the results obtained from MATLAB Simulink. The system model includes external disturbances such as input voltage fluctuations and mechanical disturbances to the motor. These improvements considerably increase the efficiency of the entire drive systems

Final Deliverable of the Project

Hardware System

Core Industry

Energy

Other Industries

Manufacturing

Core Technology

Others

Other Technologies

Sustainable Development Goals

Quality Education

Required Resources

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