Motor Control Blockset™ provides Simulink® blocks and reference examples for developing and deploying motor control algorithms as optimized C and HDL code on target microcontrollers, FPGAs, or systems-on-chip (SoC). Build motor control algorithms with Clarke and Park transform, Maximum Torque Per Ampere (MTPA), six-step commutation, and lookup table (LUT)-based field weakening control blocks. You can process signals from encoders, hall sensors, and resolvers with sensor decoder blocks or implement sensorless control with estimator blocks to compute rotor position and speed. The blocks generate code that you can use in workflows involving MISRA C™ and ISO® 26262 functional safety standards.
Reference examples included in Motor Control Blockset help you understand how to develop, tune, and validate motor control algorithms using desktop and real-time simulation. Examples include algorithms for closed-loop motor control for induction motors, switched reluctance motors (SRM), synchronous motors like brushless DC motors (BLDC), and surface-mount and interior permanent magnet synchronous motors (PMSM). You can reuse the same algorithms to generate production-ready, compact, and traceable fixed- or floating-point code. You can also use the reference examples to implement algorithms for motor control hardware kits supported by the blockset.
Reference applications to aid design and implementation of motor control algorithms
Model Motor Control Systems
Design algorithms with blocks optimized for C and HDL code generation. For faster closed-loop simulations use linear lumped motors and average value inverters. To incorporate nonlinearities and switching effects, use higher fidelity motor and inverter models with Simscape Electrical™.
To capture motor dynamics and facilitate motor control design, parameterize your motor by estimating motor parameters with the help of parameter estimation blocks or by importing your motor's finite element analysis (FEA) data. Investigate motor control trajectories using characteristic plots that help identify operational boundaries for PMSM control.
Implement Motor Control Algorithms
Jumpstart your motor control development with prebuilt reference examples. Use these examples to quickly test and verify your motor control algorithms in closed-loop simulation. Then, reuse the same examples to directly generate and deploy embedded code on supported hardware kits. Test the algorithms on your motor hardware by controlling the target processor from Simulink on your host machine.
Analyze and Tune Controllers
Estimate and examine time and frequency domain characteristics by computing and plotting motor control system responses with Simulink Control Design™. Use the Field Oriented Control Autotuner block for autotuning PI controller gains to achieve required bandwidth and phase margins. Explore control strategies like gain scheduling and lookup table-based control to further improve performance.
Test in Real Time
Perform rapid control prototyping (RCP) and hardware-in-the-loop (HIL) tests on real-time systems before performing physical tests on the motor. Validate control algorithms using HIL-compatible linear motor models and preconfigured reference examples with Simulink Real-Time™ and Speedgoat hardware.
Generate, Deploy, and Profile Code
Generate compact floating- or fixed-point code directly from your motor control algorithms and assess code performance with real-time execution profiling. For supported hardware kits, use the reference examples to enable quick and automatic deployment. Alternatively, when targeting custom motor control hardware, follow the algorithm export example to integrate and deploy your generated code with your driver code.
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