Motor Control Blockset

 

Motor Control Blockset

Design and implement motor control algorithms

Video length is 3:00

Reference Applications

Reference applications to aid design and implementation of motor control algorithms

Estimation of initial rotor angle interior permanent magnet synchronous motor.
Tuning PI controllers for current and speed using FOC Autotuner.
PMSM field weakening control with MTPA.

Product Highlights

A screenshot of the library showing six different categories of blocks, including sensor decoders and sensorless estimators.

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.

Parameterize Motors

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.

A list of supported motor control algorithms, including field-oriented control and six-step commutation.

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.

A block diagram illustrating the interactions between algorithm model and plant models, with the embedded processor and real-time hardware in a HIL testing setup for motor control.

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.

A sliding mode observer algorithm on the left, generated code on the right, and an arrow highlighting bidirectional traceability between the two.

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.

Hardware-Specific Code Generation

Explore motor control reference examples with quick and automatic deployment to supported microcontrollers, real-time systems, and FPGA hardware kits. Click the link below to learn more about supported hardware.

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Motor Control Blockset FAQs

Motor Control Blockset is a Simulink add-on that provides blocks and reference examples for developing and deploying motor control algorithms as optimized C and HDL code on microcontrollers, FPGAs, or SoCs with prebuilt algorithm blocks, reference examples, and workflows covering simulation, parameter estimation, code generation, and deployment on many popular supported hardware kits.

The blockset supports closed-loop motor control for induction motors, switched reluctance motors (SRM), brushless DC motors (BLDC), and surface-mount and interior permanent magnet synchronous motors (PMSM).

Motor Control Blockset includes prebuilt blocks for implementing Field-Oriented Control (FOC), initial motor controller gain calculations, space vector modulation, and FOC autotuning, along with support for MTPA and field‑weakening strategies, sensor decoders and sensorless observer blocks and LUT‑based current reference generation for different motors.

Yes, these blocks are optimized to generate production‑ready, compact, and traceable fixed‑ or floating‑point C and HDL code from Simulink models for deployment on supported hardware kits or custom hardware.

It provides reference examples and blocks for implementing FOC, including transforms, sensorless estimator blocks, and the Field-Oriented Control autotuning capability to tune PI controller gains to achieve required bandwidth and phase margins.

The blockset includes motor parameter estimation workflows, linear lumped motor models with average value inverters for fast simulations, and prebuilt reference examples that enable simulation and validation of closed-loop field-oriented control and advanced control strategies for sensored and sensorless control implementation, along with motor controller autotuning.

You can perform rapid control prototyping (RCP) and hardware-in-the-loop (HIL) tests on real-time systems using Simulink Real-Time and Speedgoat hardware, leveraging HIL-compatible linear motor models and preconfigured reference examples in Motor Control Blockset.

Yes, the blocks generate code that can be used in workflows involving MISRA C and ISO 26262 functional safety standards.

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