MATLAB and Simulink for Motor Drives and Traction Motors

Develop algorithms and embedded software for motor-inverter control systems

Motor and Power Control

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 Power Systems Simulation Onramp
  • 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

Try Examples

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