Get Started with Motor Control Blockset

Design and implement motor control algorithms

Motor Control Blockset™ provides Simulink^® blocks and reference examples for developing and deploying motor control algorithms as optimized C and HDL code on target microcontrollers, FPGAs, or systems-on-chip (SoC). Build motor control algorithms with Clarke and Park transform, Maximum Torque Per Ampere (MTPA), six-step commutation, and lookup table (LUT)-based field weakening control blocks. You can process signals from encoders, hall sensors, and resolvers with sensor decoder blocks or implement sensorless control with estimator blocks to compute rotor position and speed. The blocks generate code that you can use in workflows involving MISRA C™ and ISO^® 26262 functional safety standards.

Reference examples included in Motor Control Blockset help you understand how to develop, tune, and validate motor control algorithms using desktop and real-time simulation. Examples include algorithms for closed-loop motor control for induction motors, switched reluctance motors (SRM), synchronous motors like brushless DC motors (BLDC), and surface-mount and interior permanent magnet synchronous motors (PMSM). You can reuse the same algorithms to generate production-ready, compact, and traceable fixed- or floating-point code. You can also use the reference examples to implement algorithms for motor control hardware kits supported by the blockset.

Tutorials

Create and Validate Model for Motor Control System

Create, deploy, and validate control algorithm for motor control system.
Estimate Motor Parameters Using Motor Control Blockset Parameter Estimation Tool

Estimate motor parameters by using parameter estimation feature in Motor Control Blockset.
Program Control Flow of Motor Control Blockset Examples

Design control flow of field-oriented control algorithm.
How to Use Hall Validity and Hall Decoder Blocks

Integrate Hall sensors with control algorithm to decode rotor position and speed.
How to Use Field Oriented Control Autotuner Block

Use the Field Oriented Control Autotuner block to tune PI control loops in field-oriented control applications.
How to Tune Sensorless Position Estimators

Tune sensorless position estimators for accurate position and speed measurements.
Estimate Control Gains and Use Utility Functions

Perform control parameter tuning for speed and torque control subsystems.
Hardware Connections

Connect motors, sensors, and power supply to hardware boards.
Model Configuration Parameters

Configure Simulink model to interface with supported target hardware.
Customize Motor Control Algorithm for Different Hardware

Customize a motor control algorithm for a different inverter, motor, or processor.

About Motor Control

Motor Control Algorithms

Open-Loop and Closed-Loop Control
Describes open-loop, closed-loop motor control, and transition from open-loop to closed-loop control.
Field-Oriented Control (FOC)
Implement speed control for PMSM and induction motor by using field-oriented control.
Six-Step Commutation
Implement speed control for BLDC motor by using six-step commutation.
Direct Torque Control (DTC)
Implement speed control for PMSM by controlling motor flux and torque.

Implementation, Calibration, and Debugging Techniques for Embedded Systems

Host-Target Communication
Describes host model, target model, and how they communicate.
Current Sensor ADC Offset and Position Sensor Calibration
Describes offsets for Hall sensor, quadrature encoder, and current sensor ADC.
Per-Unit System
Defines a normalized unit system by using the base values.

Featured Examples

Run 3-Phase AC Motors in Open-Loop Control and Calibrate ADC Offset

Uses open-loop control (also known as scalar control or Volts/Hz control) to run a motor. This technique varies the stator voltage and frequency to control the rotor speed without using any feedback from the motor. You can use this technique to check the integrity of the hardware connections. A constant speed application of open-loop control uses a fixed-frequency motor power supply. An adjustable speed application of open-loop control needs a variable-frequency power supply to control the rotor speed. To ensure a constant stator magnetic flux, keep the supply voltage amplitude proportional to its frequency.

Open Model

Generate Motor Control Models for Selected Algorithm and Hardware

Use Motor Control Blockset™ to generate a Simulink® model that is configured for a specific hardware and motor control technique.

Open Live Script

Six-Step Commutation of BLDC Motor Using Sensor Feedback

Use six-step commutation technique to control speed and direction of rotation of a three-phase BLDC motor.

Open Model

Field-Oriented Control of Induction Motor Using Speed Sensor

Implements the field-oriented control (FOC) technique to control the speed of a three-phase AC induction motor (ACIM). The FOC algorithm requires rotor speed feedback, which is obtained in this example by using a quadrature encoder sensor. For details about FOC, see Field-Oriented Control (FOC).

Open Model

Field-Oriented Control of PMSM Using Hall Sensor

Implements the field-oriented control (FOC) technique to control the speed of a three-phase permanent magnet synchronous motor (PMSM). The FOC algorithm requires rotor position feedback, which is obtained by a Hall sensor. For details about FOC, see Field-Oriented Control (FOC).

Open Model

Field-Oriented Control of PMSM Using SI Units

Implements the Field-Oriented Control (FOC) technique to control the speed of a three-phase Permanent Magnet Synchronous Motor (PMSM). However, instead of the per-unit representation of quantities (for details about the per-unit system, see Per-Unit System), the FOC algorithm in this example uses the SI units of signals to perform the computations. These are the signals and their SI units:

Open Model

Tune PI Controllers Using Field Oriented Control Autotuner

Computes the gain values of PI controllers available in the speed and current control loops by using the Field Oriented Control Autotuner block. For details about this block, see Field Oriented Control Autotuner. For details about field-oriented control, see Field-Oriented Control (FOC).

Open Model

Field-Weakening Control (with MTPA) of PMSM

Implements the field-oriented control (FOC) technique to control the torque and speed of a three-phase permanent magnet synchronous motor (PMSM). The FOC algorithm requires rotor position feedback, which is obtained by a quadrature encoder sensor. For details about FOC, see Field-Oriented Control (FOC).

Open Model

Position Control of PMSM Using Quadrature Encoder

Implements the field-oriented control (FOC) technique to control the position of a three-phase permanent magnet synchronous motor (PMSM). The FOC algorithm requires rotor position feedback, which it obtains from a quadrature encoder sensor.

Open Model

FOC of PMSM Using FPGA-Based Motor Control Development Kit

Use a Field-Oriented Control (FOC) algorithm for a Permanent Magnet Synchronous Motor (PMSM) by using blocks from the Motor Control Blockset™ on an FPGA device (Trenz Electronic™ Motor Control Development Kit TE0820).

Open Script

Code Verification and Profiling Using PIL Testing

Explains PIL profiling on Texas Instruments® LAUNCHXL-F28379D hardware board. In processor-in-the-loop (PIL) simulation, the control algorithm executes in the target hardware, but the plant model runs on the host machine. The plant model simulates the input and output signals for the controller and communicates with the controller by using the serial communication interface. This functionality allows you to use PIL simulation to determine the execution time on the target hardware, which you can then compare with the execution time for simulating the model on the host machine.

Open Model

Interactive Learning

Introduction to Motor Control
Self-paced, interactive course available as part of Online Training Suite subscription

Videos

Motor Control Blockset Overview
Learn about Motor Control Blockset capabilities