Motor Drives and Traction Motors with MATLAB and Simulink
Develop algorithms and embedded software for motor-inverter control systems
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
Featured Examples
Weitere Informationen
- Tesla’s Secret to Winning “The Range Game”
- Understanding BLDC Motor Control Algorithms
- Beyond PID: Exploring Alternative Control Strategies for Field-Oriented Controllers
- Calibrating Optimal PMSM Torque Control with Field-Weakening Using Model-Based Calibration
- SynRMs Could Change the Electric Vehicle Game
Videos
- Introduction to Brushless DC Motor Control –Video Series
- KI-basierter virtueller Sensor zur Rotorpositionsschätzung (17:37)
- Danfoss beschleunigt die digitale Transformation mit MathWorks und Model-Based Design (4:20)
- Field-Oriented Control of PMSM with Simulink – Video Series
- Simulation der Drehmomentwelligkeit für die Entwicklung von Motorregelungssystemen (35:44)
- Entwurf von Motorkühlsystemen mit Motor-CAD und Simscape (36:27)
Examples
Use Simulink to generate code for real-time simulation and testing.
- Perform rapid control prototyping using a real-time target by generating C, C++, or HDL code for motor control algorithms
- Perform hardware-in-the-loop (HIL) simulation with sampling rates up to 1 MHz to validate motor controllers
- Find real-time simulation support from Speedgoat
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 Microcontroller Blockset, 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
Videos
- Motorsteuerung mit TI Multicore-MCUs mithilfe von Simulink (31:33)
- Deploy Motor Controls Algorithms to an FPGA – Video Series
- Implementierung einer Motorsteuerung mithilfe von Simulink und NXP i.MX RT Crossover-Prozessoren (39:27)
- Bereitstellung von Algorithmen zur Motorsteuerung auf dsPIC-, PIC32- und SAM-Mikrocontrollern von Microchip (28:39)
Ressourcen und Support
