TIDUF67 April   2024

 

  1.   1
  2.   Description
  3.   Resources
  4.   Features
  5.   Applications
  6.   6
  7. 1System Description
    1. 1.1 Terminology
    2. 1.2 Key System Specifications
  8. 2System Overview
    1. 2.1 Block Diagram
    2. 2.2 Highlighted Products
      1. 2.2.1 AM263x Microcontrollers
        1. 2.2.1.1 TMDSCNCD263
        2. 2.2.1.2 LP-AM263
  9. 3System Design Theory
    1. 3.1 Three-Phase PMSM Drive
      1. 3.1.1 Mathematical Model and FOC Structure of PMSM
      2. 3.1.2 Field Oriented Control of PM Synchronous Motor
        1. 3.1.2.1 The ( a ,   b ) ⇒ ( α , β ) Clarke Transformation
        2. 3.1.2.2 The α , β ⇒ ( d ,   q ) Park Transformation
        3. 3.1.2.3 The Basic Scheme of FOC for AC Motor
        4. 3.1.2.4 Rotor Flux Position
      3. 3.1.3 Sensorless Control of PM Synchronous Motor
        1. 3.1.3.1 Enhanced Sliding Mode Observer With Phase Locked Loop
          1. 3.1.3.1.1 Design of ESMO for PMSM
          2. 3.1.3.1.2 Rotor Position and Speed Estimation with PLL
      4. 3.1.4 Hardware Prerequisites for Motor Drive
      5. 3.1.5 Additional Control Features
        1. 3.1.5.1 Field Weakening (FW) and Maximum Torque Per Ampere (MTPA) Control
        2. 3.1.5.2 Flying Start
  10. 4Hardware, Software, Testing Requirements, and Test Results
    1. 4.1 Hardware Requirements
    2. 4.2 Software Requirements
      1. 4.2.1 Importing and Configuring Project
      2. 4.2.2 Project Structure
      3. 4.2.3 Lab Software Overview
    3. 4.3 Test Setup
      1. 4.3.1 LP-AM263 Setup
      2. 4.3.2 BOOSTXL-3PHGANINV Setup
      3. 4.3.3 TMDSCNCD263 Setup
      4. 4.3.4 TMDSADAP180TO100 Setup
      5. 4.3.5 TMDSHVMTRINSPIN Setup
    4. 4.4 Test Results
      1. 4.4.1 Level 1 Incremental Build
        1. 4.4.1.1 Build and Load Project
        2. 4.4.1.2 Setup Debug Environment Windows
        3. 4.4.1.3 Run the Code
      2. 4.4.2 Level 2 Incremental Build
        1. 4.4.2.1 Build and Load Project
        2. 4.4.2.2 Setup Debug Environment Windows
        3. 4.4.2.3 Run the Code
      3. 4.4.3 Level 3 Incremental Build
        1. 4.4.3.1 Build and Load Project
        2. 4.4.3.2 Setup Debug Environment Windows
        3. 4.4.3.3 Run the Code
      4. 4.4.4 Level 4 Incremental Build
        1. 4.4.4.1 Build and Load Project
        2. 4.4.4.2 Setup Debug Environment Windows
        3. 4.4.4.3 Run the Code
    5. 4.5 Adding Additional Functionality to Motor Control Project
      1. 4.5.1 Using DATALOG Function
      2. 4.5.2 Using PWMDAC Function
      3. 4.5.3 Adding CAN Functionality
      4. 4.5.4 Adding SFRA Functionality
        1. 4.5.4.1 Principle of Operation
        2. 4.5.4.2 Object Definition
        3. 4.5.4.3 Module Interface Definition
        4. 4.5.4.4 Using SFRA
    6. 4.6 Building a Custom Board
      1. 4.6.1 Building a New Custom Board
        1. 4.6.1.1 Hardware Setup
        2. 4.6.1.2 Migrating Reference Code to a Custom Board
          1. 4.6.1.2.1 Setting Hardware Board Parameters
          2. 4.6.1.2.2 Modifying Motor Control Parameters
          3. 4.6.1.2.3 Changing Pin Assignment
          4. 4.6.1.2.4 Configuring the PWM Module
          5. 4.6.1.2.5 Configuring the ADC Module
          6. 4.6.1.2.6 Configuring the CMPSS Module
  11. 5General Texas Instruments High Voltage Evaluation (TI HV EVM) User Safety Guidelines
  12. 6Design and Documentation Support
    1. 6.1 Design Files
      1. 6.1.1 Schematics
      2. 6.1.2 BOM
      3. 6.1.3 PCB Layout Recommendations
        1. 6.1.3.1 Layout Prints
    2. 6.2 Tools and Software
    3. 6.3 Documentation Support
    4. 6.4 Support Resources
    5. 6.5 Trademarks
  13. 7About the Author

Field Oriented Control of PM Synchronous Motor

To achieve better dynamic performance, a more complex control scheme needs to be applied, to control the PM motor. With the mathematical processing power offered by the microcontrollers, we can implement advanced control strategies, which use mathematical transformations to decouple the torque generation and the magnetization functions in PM motors. Such de-coupled torque and magnetization control is commonly called rotor flux oriented control, or simply Field Oriented Control (FOC).

In a direct current (DC) Motor, the excitation for the stator and rotor is independently controlled, the produced torque and the flux can be independently tuned as shown in Figure 3-3. The strength of the field excitation (for example, the magnitude of the field excitation current) sets the value of the flux. The current through the rotor windings determines how much torque is produced. The commutator on the rotor plays an interesting part in the torque production. The commutator is in contact with the brushes, and the mechanical construction is designed to switch into the circuit the windings that are mechanically aligned to produce the maximum torque. This arrangement then means that the torque production of the machine is fairly near optimal all the time. The key point here is that the windings are managed to keep the flux produced by the rotor windings orthogonal to the stator field.

To achieve better dynamic performance, a more complex control scheme needs to be applied, to control the PM motor. With the mathematical processing power offered by the microcontrollers, we can implement advanced control strategies, which use mathematical transformations to decouple the torque generation and the magnetization functions in PM motors. Such de-coupled torque and magnetization control is commonly called rotor flux oriented control, or simply Field Oriented Control (FOC).

In a direct current (DC) Motor, the excitation for the stator and rotor is independently controlled, the produced torque and the flux can be independently tuned as shown in Figure 3-3. The strength of the field excitation (for example, the magnitude of the field excitation current) sets the value of the flux. The current through the rotor windings determines how much torque is produced. The commutator on the rotor plays an interesting part in the torque production. The commutator is in contact with the brushes, and the mechanical construction is designed to switch into the circuit the windings that are mechanically aligned to produce the maximum torque. This arrangement then means that the torque production of the machine is fairly near optimal all the time. The key point here is that the windings are managed to keep the flux produced by the rotor windings orthogonal to the stator field.

GUID-20210322-CA0I-RSND-55MC-F3KNKN9SBK57-low.svg Figure 3-3 Flux and Torque are Independently Controlled in DC Motor Model

The goal of the FOC (also called vector control) on synchronous and asynchronous machine is to be able to separately control the torque producing and magnetizing flux components. FOC control allows us to decouple the torque and the magnetizing flux components of stator current. With decoupled control of the magnetization, the torque producing component of the stator flux can now be thought of as independent torque control. To decouple the torque and flux, engage several mathematical transforms, and this is where the microcontrollers add the most value. The processing capability provided by the microcontrollers enables these mathematical transformations to be carried out very quickly. This in turn implies that the entire algorithm controlling the motor can be executed at a fast rate, enabling higher dynamic performance. In addition to the decoupling, a dynamic model of the motor is now used for the computation of many quantities such as rotor flux angle and rotor speed. This means that these effects are accounted for, and the overall quality of control is better.

According to the electromagnetic laws, the torque produced in the synchronous machine is equal to vector cross product of the two existing magnetic fields as Equation 6.

Equation 6. τ e m = B s t a t o r × B r o t o r

This expression shows that the torque is maximum if stator and rotor magnetic fields are orthogonal meaning if we are to maintain the load at 90 degrees. If we are able to maintain this condition all the time, if we are able to orient the flux correctly, we reduce the torque ripple and we maintain a better dynamic response. However, the constraint is to know the rotor position: this can be achieved with a position sensor such as incremental encoder. For low-cost application where the rotor is not accessible, different rotor position observer strategies are applied to get rid of position sensor.

In brief, the goal is to maintain the rotor and stator flux in quadrature: the goal is to align the stator flux with the q axis of the rotor flux, for example, orthogonal to the rotor flux. To do this, the stator current component in quadrature with the rotor flux is controlled to generate the commanded torque, and the direct component is set to zero. The direct component of the stator current can be used in some cases for field weakening, which has the effect of opposing the rotor flux, and reducing the back-emf, which allows for operation at higher speeds.

The Field Orientated Control consists of controlling the stator currents represented by a vector. This control is based on projections which transform a three phase time and speed dependent system into a two co-ordinate (d and q co-ordinates) time invariant system. These projections lead to a structure similar to that of a DC machine control. Field orientated controlled machines need two constants as input references: the torque component (aligned with the q co-ordinate) and the flux component (aligned with d co-ordinate). As Field Orientated Control is simply based on projections, the control structure handles instantaneous electrical quantities. This makes the control accurate in every working operation (steady state and transient) and independent of the limited bandwidth mathematical model. The FOC thus solves the classic scheme problems, in the following ways:

  • The ease of reaching constant reference (torque component and flux component of the stator current)
  • The ease of applying direct torque control because in the (d, q) reference frame the expression of the torque is defined in Equation 7.
    Equation 7. τ e m ψ R × i s q

By maintaining the amplitude of the rotor flux (ψR) at a fixed value we have a linear relationship between torque and torque component (iSq). We can then control the torque by controlling the torque component of stator current vector.