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.

Determines the parameters of a permanent magnet synchronous motor (PMSM) using the recommended Texas Instruments™ hardware. The tool determines these parameters:

Uses the parameter estimation blocks provided by Motor Control Blockset™ to estimate these parameters of a permanent magnet synchronous motor (PMSM) with a quadrature encoder sensor:

Implements the field-oriented control (FOC) technique to control the speed of a three-phase permanent magnet synchronous motor (PMSM). For details about FOC, see Field-Oriented Control (FOC).

Calculates the offset between the rotor direct axis (d-axis) and position detected by the Hall sensor. The field-oriented control (FOC) algorithm needs this position offset to run the permanent magnet synchronous motor (PMSM) correctly. To compute the offset, the target model runs the motor in the open-loop condition. The model uses a constant (voltage along the stator's d-axis) and a zero (voltage along the stator's q-axis) to run the motor (at a low constant speed) by using a position or ramp generator. When the position or ramp value reaches zero, the corresponding rotor position is the offset value for the Hall sensors.

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).

Calculates the offset between the d-axis of the rotor and encoder index pulse position as detected by the quadrature encoder sensor. The control algorithm (available in the field-oriented control and parameter estimation examples) uses this offset value to compute an accurate and precise position of the d-axis of rotor. The controller needs this position to implement the field-oriented control (FOC) correctly in the rotor flux reference frame (d-q reference frame), and therefore, run the permanent magnet synchronous motor (PMSM) correctly.

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 quadrature encoder sensor. For details about FOC, see Field-Oriented Control (FOC).

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).

Uses field-oriented control (FOC) to run a three-phase permanent magnet synchronous motor (PMSM) in different modes of operation for plant validation. FOC algorithm implementation needs the real-time feedback of the rotor position. This example uses a quadrature encoder sensor to measure the rotor position. For details about FOC, see Field-Oriented Control (FOC).

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:

Uses field-oriented control (FOC) to control two three-phase permanent magnet synchronous motors (PMSM) coupled in a dyno setup. Motor 1 runs in the closed-loop speed control mode. Motor 2 runs in the torque control mode and loads Motor 1 because they are mechanically coupled. You can use this example to test a motor in different load conditions.

Use the resolver sensor to measure the rotor position. The resolver consists of two stator (secondary) windings placed orthogonally around the resolver rotor (primary) winding. After you mount the resolver sensor over a PMSM, the resolver rotor winding rotates with the shaft of the running motor. Meanwhile, the controller provides a fixed-frequency excitation signal (alternating sinusoidal or square pulse) to the primary winding.

Uses field-oriented control (FOC) to control the speed of a three-phase permanent magnet synchronous motor (PMSM). It gives you the option to use these Simscape Electrical blocks as an alternative to the Average Value Inverter block in Motor Control Blockset™:

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).

Uses the Field Oriented Control Autotuner block to compute the gain values of the PI controllers available in the speed, current, and flux control loops of a field-weakening control algorithm. For details about this block, see Field Oriented Control Autotuner.

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.

This MATLAB® project provides a motor control example model that uses field-oriented control (FOC) to run a three-phase permanent magnet synchronous motor (PMSM) in different modes of operation. Implementing the FOC algorithm needs real-time rotor position feedback. This example uses a quadrature encoder sensor to measure the rotor position. For details about FOC, see Field-Oriented Control (FOC).

Performs frequency response estimation (FRE) of a plant model running a three-phase permanent magnet synchronous motor (PMSM). When you simulate or run the model on the target hardware, the model runs tests to estimate the frequency response as seen by each PI controller (also known as raw FRE data) and plots the FRE data to provide a graphical representation of the plant model dynamics.

Identify and resolve issues with respect to peripheral settings and task scheduling early during development.

Partition real-time motor control application on to multiple processors to achieve design modularity and improved control performance.

Estimates the initial position (in electrical radians) of a stationary interior PMSM by using pulsating high-frequency (PHF) injection and dual pulse (DP) techniques.

Uses hardware-in-the-loop (HIL) simulation to implement the field-oriented control (FOC) algorithm 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 quadrature encoder sensor. For more information on FOC, see Field-Oriented Control (FOC).

Implements direct torque control (DTC) technique to control the speed of a three-phase permanent magnet synchronous motor (PMSM). Direct Torque Control (DTC) is a vector motor control technique that implements motor speed control by directly controlling the flux and torque of the motor. The example algorithm needs motor currents and position feedback from PMSM. It uses space vector pulse-width modulation (DTC-SVPWM) variant of DTC, which uses space vector modulation (SVM) to produce the pulse-width modulation (PWM) duty cycles that are used by the inverter. For more details about the DTC-SVPWM algorithm used in this example, see Direct Torque Control (DTC).

Uses Model Predictive Control (MPC) to control the speed of a three-phase permanent magnet synchronous motor (PMSM). MPC is a control technique that tunes and optimizes the inputs to a control system to minimize the error in the predicted system output and achieve the reference control objective over a period of time. This technique involves solving the objective function and finding an optimal input sequence at every sample time (). After each time step, the current state of the plant is considered as the initial state and the above process is repeated.

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.

Implement active disturbance rejection control (ADRC) of the speed of a permanent magnet synchronous motor (PMSM) modelled in Simulink® using the Active Disturbance Rejection Control (Simulink Control Design) block. You can use the example to implement field-oriented control (FOC) using either a proportional integral (PI) or ADRC-based controller to run the motor in the speed control mode. Therefore, you can compare the performance of the PI and ADRC controllers.

Run a permanent magnet synchronous motor (PMSM) in an industrial drive application setup using field-oriented control (FOC). Industrial drives enable you to swap motors in real time. These drives enable you to replace a motor with a new one without repeated deployment of code. An industrial drive setup needs a fixed inverter and software that has the ability to adapt the control algorithm according to the new motor using only the updated nameplate motor parameters.

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

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

Calculates the Hall sensor sequence with respect to position zero of the rotor in open-loop control. This workflow helps you to spin the motor using six-step commutation without the need to label the hall sensors or derive the switching sequence. Run this example and obtain the hall sequence, and use this hall sequence with the Six Step Commutation block to run the motor in closed loop as explained in Six-Step Commutation of BLDC Motor Using Sensor Feedback example.

Determines the parameters of a three-phase AC induction motor (ACIM) using the recommended Texas Instruments™ hardware. The example determines these parameters:

Uses the parameter estimation blocks provided by Motor Control Blockset™ to estimate these parameters of an AC induction motor (ACIM):

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).

Uses sensorless position estimation to implement the field-oriented control (FOC) technique to control the speed of a three-phase AC induction motor (ACIM). For details about FOC, see Field-Oriented Control (FOC).

Implements a commutation system to control the speed of a three-phase 12/8 switched reluctance motor (SRM).

Compute the dwell angle of a 12/8 switched reluctance motor (SRM) online (while the motor runs). The example then uses the computed dwell angle along with a delta controller to control the motor speed.