Get Started with Motor Control Blockset

Design and implement motor control algorithms

Motor Control Blockset™ provides Simulink^® blocks for creating and tuning field-oriented control and other algorithms for brushless motors. Blocks include Park and Clarke transforms, sensorless observers, field weakening, a space-vector generator, and an FOC autotuner. You can verify control algorithms in closed-loop simulation using the motor and inverter models included in the blockset.

The blockset parameter estimation tool runs predefined tests on your motor hardware for accurate estimation of stator resistance, d-axis and q-axis inductance, back EMF, inertia, and friction. You can incorporate these motor parameter values into a closed-loop simulation to analyze your controller design.

Reference examples show how to verify control algorithms in desktop simulation and generate compact C code that supports execution rates required for production implementation. The reference examples can also be used to implement algorithms for motor control hardware kits supported by the blockset.

Tutorials

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

This example uses open-loop control (also known as scalar control or Volts/Hz control) to run a motor.
Estimate Motor Parameters Using Motor Control Blockset Parameter Estimation Tool

Estimate motor parameters by using parameter estimation feature in Motor Control Blockset.
Estimate Control Gains from Motor Parameters

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.

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.

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 Example

Six-Step Commutation of BLDC Motor Using Sensor Feedback

Uses 120-degree conduction mode to implement the six-step commutation technique to control speed and direction of rotation of a three-phase brushless DC (BLDC) motor. The example uses the switching sequence generated by the Six Step Commutation block to control three-phase stator voltages, and therefore, control the rotor speed and direction. For more details about this block, see Six Step Commutation.

Open Example

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 Example

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 Example

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: Rotor speed - Radians/ sec

Open Example

Tune PI Controllers Using Field Oriented Control Autotuner

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

Open Example

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 Example

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 Example