Design Field-Oriented Control Algorithm

The implementation of speed control algorithm for a motor involves these tasks:

  • Current scaling - Read the current from ADC counts and convert to PU

  • QEP position decoding - Read the QEP position counts and calculate the rotor electrical position

  • Torque control - Current control in d-q axis

  • Speed control

The below steps can help you to implement speed control algorithm for a PMSM using Motor Control Blockset™. These guidelines to build speed control algorithm are also related to the example model mcb_pmsm_foc_qep_f28379d and explains the steps to tune the control parameters for d-axis and q-axis current controllers and the speed controller.

  1. Design Current and Position Scaling Subsystem

  2. Design Current Controller Subsystem

  3. Perform Manual Gain-tuning of Current Controller

  4. Design Speed Control Algorithm

  5. Perform Manual Gain-Tuning of Speed Controller

Note

In these workflow steps, variables are used for defining datatypes, execution time of current controller, and execution time of speed controller. Refer to the initialization script of the example model mcb_pmsm_foc_qep_f28379d for the details of the variables defined in these steps.

Tip

A basic understanding of Simulink is a prerequisite for following this workflow as these workflow steps do not provide details about tasks like defining datatype in a constant block or usage of math operations blocks in Simulink.

Refer to the section Estimate Motor Parameters by Using Motor Control Blockset Parameter Estimation Tool for estimating the motor parameters, and then refer to Creating Plant Model Using Motor Control Blockset to design a plant model, which helps to verify the control algorithm in simulation.

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