About the Course

Improvement in the area power electronics, signal processing, the high computation controllers, capability of model-based design of control algorithms has led to amazing development in the area of motor controllers. Engineers with good practical skills on motor controller algorithms and modeling are in demand to get hired and they are hard to find. 

 

Course on motor controller modeling & simulation covers the hands-on model-based control approach for 

  1. Sensored BLDC 
  2. Open-loop 
  3. Closed-loop speed 
  4. Closed-loop PWM control

Course Content

Motor controller foundation

 

  1. Motor Control Introduction
  • Need for Motor Control
  • Industry examples for motor control applications
  • Types of Control strategies (Theory)
    • Sensor-based
    • Sensorless
    • FOC
    • Flux Weakening
  1. Control Theory
  • What is a control system?
  • Types of Control Systems
    • Open Loop
    • Closed Loop
  • PID Control for system tuning
    • Function
    • Terminologies
    • Configurations (P - PI - PD - PID)
    • Strategies
      • Trial and Error
      • Ziegler Nichols
    • Model Examples (MATLAB \ SIMULINK)
    • Motor Control Strategies
      • Speed Control
      • Torque/ Current Control
      • Cascade
  1. Motor & Inverter
  • Motor characteristics
  • Types of Motors and their characteristics: DC, BLDC, PMSM
  • BLDC Motor
    • Electrical configuration
    • Mathematical model for BLDC Motor
      • Electrical Model (Phase Current Estimate)
      • Mechanical Model (Torque – Angular Velocity Estimate)
    • Rotor Position Estimation from Hall Sensor
      • Configuration
      • Equation
    • Commutation Logic
    • Back EMF Estimation of the rotor.
      • 3-phase EMF equation
  • Working of inverter 
  • Electrical Equations of inverter

 

 

Modeling and Simulation

 

  1. Setup of physical parameters for the motor
  2. Model Build:
  • Modeling the Inverter Block
  • BLDC Motor Block
    • Position Sensing Logic
    • Back-EMF estimation
    • Phase Current Estimation
    • Torque + Angular Velocity Estimation
  • Commutation Logic
  • Modeling the Input to Controller
  • Results

 

3. Results and Discussion

  1. Open-loop and Closed-loop speed control analysis
  2. System response to the closed-loop parameters
  3. Varying target speed feed to estimate model performance


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  • Model Based Design for BLDC Motor Controller

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