MATLAB and Simulink for Motor Drives and Traction Motors

Develop algorithms and embedded software for motor-inverter control systems

Free trial

How It Works

Design motor control algorithms

Test motor control algorithms

Implement motor control algorithms on hardware

Simulate Motor Control Algorithms

Use MATLAB^® and Simulink^® to build motor models from libraries of motors, inverters, sources, and loads. Choose the level of fidelity in motor and inverter modeling based on your requirements and simulate motor control algorithms.

Implement linear lumped-parameter motor models and use average value inverters with Motor Control Blockset™ for fast simulations
Model and simulate nonlinear motor dynamics and ideal or detailed switching in the inverter using Simscape Electrical™
Parametrize motor models to capture motor dynamics with the help of instrumented tests or import parameters from a database or finite element analysis
Perform closed-loop simulations and automatically tune control algorithms using Field Oriented Control (FOC) Autotuner to meet speed and torque response requirements
Design fault detection and protection logic to ensure safe operation

Motor Control Design with MATLAB and Simulink

Try Examples

Learn More

Tesla’s Secret to Winning “The Range Game” – Blog Post
Understanding BLDC Motor Control Algorithms – Ebook
Introduction to Brushless DC Motor Control – Ebook
Calibrating Optimal PMSM Torque Control with Field-Weakening Using Model-Based Calibration – Article

Videos

Introduction to Brushless DC Motor Control –Video Series
Reinforcement Learning for Developing Field-Oriented Control (6:12)
Field-Oriented Control of PMSM with Simulink – Video Series
Simulate, Design, and Test Field-Weakening Control Design with Simulink (41:18)
Field-Oriented Control of Induction Motors with Simulink – Video Series

Examples

Motor Modeling:

Control Design and Optimization:

Motor Control Blockset examples
More motor control examples

Real-Time Simulation

Use Simulink to generate code for real-time simulation and testing.

Perform rapid control prototyping (33:03) using a real-time target by generating C, C++, or HDL code for motor control algorithms
Perform hardware-in-the-loop (HIL) simulation (47:01) with sampling rates up to 1 MHz to validate motor controllers
Find real-time simulation support from Speedgoat

Real-Time Testing – Deploying a Reinforcement Learning Agent for Field-Oriented Control

Learn More

Spinning Brushless Motors with Simulink (24:18)

Videos

Examples

Field-Oriented Control (FOC) of PMSM Using Hardware-In-The-Loop (HIL) Simulation

Production Code Generation and Deployment 

Generate production-ready C and HDL code from Simulink for motor control algorithms to directly target embedded microcontrollers, FPGAs, and SOCs.

Perform software-in-the-loop (SIL) and processor-in-the-loop (PIL) simulations to verify generated code
Analyze, optimize, and implement fixed- and floating-point algorithms with Fixed-Point Designer™
Automate integration, execution, and verification of generated code for processors such as ARM^®Cortex^®-A/M/R, C2000, STM32, Infineon^® AURIX™, Xilinx^® Zynq^®, and Intel^® SOC using Embedded Coder^® and hardware support packages
Use HDL Coder^® and hardware support packages for code generation and deployment on Intel, Xilinx, and Microchip devices
Ensure compliance with industry standards, such as MISRA-C™ and ISO 26262