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
Rotor Position and Speed Estimation with PLL

With the arc tangent method, the accuracy of the position and velocity estimations are affected due to the existence of noise and harmonic components. To eliminate this issue, the PLL model can be used for velocity and position estimations in the sensorless control structure of the IPMSM. The PLL structure used with SMO is illustrated in Section 3.1.3.1.1. The back-EMF estimations e ^ α and e ^ β can be used with a PLL model to estimate the motor angular velocity and position as shown in Figure 3-10.

GUID-20211216-SS0I-DCJ7-ZCPJ-S1ZC9LKKV0QT-low.svg Figure 3-10 Block Diagram of Phase Locked Loop Position Tracker

Since e α = E cos θ e , e β = E sin θ e and E = ω e λ p m , the position error can be defined as:

Equation 20. ε=e^βcosθ^e-e^αsinθ^e=Esinθecosθ^e-Ecosθesinθ^e=Esin(θe-θ^e)

Where E is the magnitude of the EEMF, which is proportional to the motor speed ω e . When ( θ e - θ ^ e ) < π 2 , the Equation 20 can be simplified as

Equation 21. ε=E(θe-θ^e)

Further, the position error after the normalization of the EEMF can be obtained:

Equation 22. εn=θe-θ^e

According to the analysis, the simplified block diagram of the quadrature phaselocked loop position tracker can be obtained as shown in Figure 3-11. The closed-loop transfer functions of the PLL can be expressed as:

Equation 23. θ^eθe=kps+kis2+kps+ki=2ξωns+ωn2s2+2ξωns+ωn2

where the k p and k i are the proportional and the integral gains of the standard PI regulator, the natural frequency ω n and the damping ratio ξ is given:

Equation 24. kp=2ξωn,  ki=ωn2
GUID-20211216-SS0I-WZZ0-DDPW-CVT69JD79DVH-low.svg Figure 3-11 Simplified Block Diagram of Phase Locked Loop Position Tracker