NXPモデルベース・デザイン・ツールナレッジベース

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In this video we discuss about how to use Processor-in-the-Loop (PIL) approach to generate the C-code and to validate the algorithm on the real hardware. PIL simulation main goals are: - to generate and execute the C-code on the real target/microprocessor; - to help with specific algorithm and control designs by offering the means to optimize your software; - to establish a testing framework for the production code; PIL simulation can also use some of peripherals from the real target for inputs or outputs, making the simulation environment more realistic and closed to the final SW design specifications. We discuss about: - What is PIL, When to use it and What is recommended for; - How to convert any Simulink generic algorithm to run with PIL support using the Model Based Design Toolbox; - PIL Reference models; NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we discuss about how to use Software-in-the-Loop (SIL) approach to generate the C-code for the first time and validate the algorithm at the concept level. We discuss about: - What is SIL, When to use it and What is recommended for; - How to convert any Simulink generic algorithm to run with SIL support using the Model Based Design Toolbox; - SIL Reference models; NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we show the hall pattern identification procedure that can be applied to any motor in case you have no datasheet available. We will read the hall sensors outputs via the microprocessor and save the information for later use. We show: - How to prepare the Hardware setup - How to go over each identification table - row by row - to apply DC voltage and rotate the rotor in different sectors 360 degrees. NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we discuss about how the motor phase commutation works. This is an essential topic to understand how the motor rotates based on 6-step commutation technique. We discuss about: - How to build the commutation table based on hall pattern identification - How to control the PWM sequence to implement a 6-step/trapezoidal commutation NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we enhance a Simulink model to allow the reading of hall sensors after processor reset to get the initial position of the rotor. We discuss about: - How to build a special initialization routine to read the halls once in the beginning - How to use StateFlow programming - How to mix the direct read of GPIOs with ISR based on hall transition readings NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we implement Simulink models for reading the hall sensors directly via GPIO or based on Hall transitions interrupts via eTimer Capture. We discuss about: - How to build simple hall reading application using the available MBD Toolbox GPIO blocks - How to enhance this simple model by adding interrupt service routines capabilities to read the hall sensors only when there is a transitions - How to count the number of hall transitions - How to validate the applications with FreeMASTER NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we talk about how hall sensors works, how the commutation sectors are defined based on hall transitions and how can we identify the hall patterns when no datasheet is available. We discuss about: - Hall sensors - Commutation sectors - Hall sensors alignment procedure - Hall sensors electronic circuit used on MotorGD and MPC5744P devkits NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

In this video we talk about different motors classification, BLDC motor modelling and how to control the BLDC rotor movement. We discuss about: - How most common motors operates - Electro-mechanical equations of BLDC motor - How BLDC works - Practical implementation of commutation sequence - BLDC vs PMSM comparison NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

This video discuss about how to mix together the ADC and GPIO models to obtain a common speed reference for the BLDC speed closed loop control system. We discuss about: - How to use analog and digital inputs - How to create a variable that can be changed in real time via Freemaster - How to test the final application - Finalize the Speed Reference Block - Short Quiz NOTE: Chinese viewers can watch the video on YOUKU using this link 注意：中国观众可以使用此链接观看YOUKU上的视频

This video shows how to program the GPIO with Model Based Design Toolbox to obtain the speed reference for the BLDC speed closed loop control system. We discuss about: - How to implement a simple program to read data from the GPIO - How to test in real time with FreeMaster - How to transform GPI pulses into a speed reference data that represents the rpm. - How to implement from scratch a Simulink model to cover the GPIO functionality NOTE: Chinese viewers can watch the video on YOUKU using this link. 注意：中国观众可以使用此链接观看YOUKU上的视频

This video shows how to program the ADC with Model Based Design Toolbox to obtain the speed reference for the BLDC speed closed loop control system. We discuss about: - How the ADC works - How to simulate the ADC operations - How to implement a simple program to read data from the ADC - How to use BAM to load the application into microprocessor memory - How to test in real time with FreeMaster - How to scale the Potentiometer voltage into a speed reference data that represents the rpm. - How to implement from scratch a Simulink model to cover the ADC functionality NOTE: Chinese viewers can watch the video on YOUKU using this link. 注意：中国观众可以使用此链接观看YOUKU上的视频

This video presents the system block diagram for BLDC speed closed loop control and how to map the application block diagram over the existing hardware. We discuss about: - What is a BLDC motor and how is made - How a BLDC motor works with electronic commutation - What is needed to construct a speed control loop - Mapping the SW and HW together NOTE: Chinese viewers can watch the video on YOUKU using this link. 注意：中国观众可以使用此链接观看YOUKU上的视频

This video presents the hardware and software setup used for Motor Control Class. It shows: - MPC5744P DevKit main hardware features - MotorGD DevKit main hardware features - How to install the Model Based Design Toolbox for MPC5744P revision 2.0.0 - How to generate a license - How to setup a compiler toolchain using S32 Design Studio for Power Architecture - How to add the Model Based Design Toolbox for MPC5744P into the Simulink Standard Libraries - How to validate the software installation by generation C code for the first time NOTE: Chinese viewers can watch the video on YOUKU using this link. 注意：中国观众可以使用此链接观看YOUKU上的视频

MODEL BASED DESIGN TOOLBOX for S32K14x Automotive MCU rev2.0 Download the product from Model Based Design Toolbox official webpage Model Based Design Toolbox: Assists Automotive customers with rapid prototyping and accelerates code development on NXP Automotive MCUs Provides an integrated development environment and tool chain for configuring and generating all the necessary software (including initialization routines, device drivers and a real-time scheduler) Automatic ANSI C code generation from MATLAB/Simulink™ Seamless integration with embedded coder including SIL and PIL models S32K Automotive MCU rev2.0 Enablement Support for the new S32K144 MCU, S32K144EVB evaluation board and new chasses XDEVKIT-MOTORGD for motor control and XDEVKIT-COMM Integrate the latest Automotive Math and Motor Control Library release 1.1.8 for ARM M4 cores Integrate the latest SDK release version 1.0.0 for S32K Automotive MCU; Integrates FreeMASTER version 2.0.2 Support for latest MATLAB versions including 64 bits (2015b, 2016a/b and 2017a); Example Library for S32K peripherals and Motor Control scenarios; S32K supported peripherals are highlighted on block diagram Multiple enhancements and fixes over the previous version of the Toolbox version 1.0 Help and Support Please join our Model Based Design Toolbox community for updates and support. Click here to watch a quick install guide video Click here to watch motor control demo with S32K rev2.0

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Product Release Announcement Automotive Embedded Systems NXP Model-Based Design Toolbox for S32Z/E – version 1.3.0 The Automotive Processing, Model-Based Design Tools Team at NXP Semiconductors, is pleased to announce the release of the Model-Based Design Toolbox for S32Z/E version 1.3.0. This release supports automatic code generation for ARM Cortex-R52 and DSP/ML processor cores from MATLAB and Simulink for NXP S32Z/E Automotive Real-Time Processors. This new release supports S32Z/E2 families and its cores (Real-Time ARM Cortex-R52 cores and DSP/ML processor). It also supports Multicore, 41 Operators highly optimized for DSP/ML processor, Processor-in-Loop Simulation mode, RTD components (ADC, PWM, DIO, CAN, UART, GPT), FreeMASTER, AMMCLib, and execution profiling. The product comes with 120 examples, covering all DSP/ML processor Operators and demonstrating the usage of the peripherals (e.g.: I/O control, timers and scheduling, communication) and multicore concurrent execution. Target audience: This product is part of the Automotive SW – Model-Based Design Toolbox. FlexNet Location: https://nxp.flexnetoperations.com/control/frse/download?element=6450481 Technical Support: NXP Model-Based Design Toolbox for RADAR issues will be tracked through the NXP Model-Based Design Tools Community space. https://community.nxp.com/community/mbdt Release Content: Automatic C code generation from MATLAB® for NXP S32Z2/E2 packages, including rev. B0 S32E2xx-bga975 S32Z2xx-bga594 S32Z2xx-bga400 Automatic C code generation from MATLAB® for NXP S32Z2/E2 cores ARM Cortex-R52 Cluster 0 and Cluster 1 cores DSP/ML processor Multicore support using Concurrent Execution from Simulink Homogeneous multicore execution between ARM Cortex-R52 Cluster 0 and Cluster 1 cores using IPCF Heterogenous multicore execution between ARM Cortex-R52 Cluster 0 Core 0 and SPF2 core using OpenAMP MCAL components supported (based on RTD version 2.0.0) ADC PWM DIO CAN UART GPT Software-in-the-Loop and Processor-in-the-Loop (SIL/PIL) simulation modes MATLAB scripts Simulink models Includes MATLAB API and Simulink Library blocks for the 41 Operators highly optimized for DSP/ML processor Includes AMMCLib (v1.1.38) blocks and examples FreeMASTER support and examples Support for MATLAB versions: R2022a R2022b R2023a R2023b R2024a 120 examples: 41 Operators for DSP/ML processor Multicore I/O control Timers and scheduling Communication (CAN) SiL, PiL FreeMASTER For more details, features, and how to use the new functionalities, please refer to the Release Notes and Quick Start Guides documents attached. MATLAB® Integration: The NXP Model-Based Design Toolbox extends the MATLAB® experience by allowing customers to evaluate and use ARM Cortex-R52 cores and DSP/ML processor from NXP’s S32Z/E Realt-Time Processors and evaluation board solutions out-of-the-box. NXP Model-Based Design Toolbox for S32Z/E version 1.3.0 is fully integrated within MATLAB® environment. Target Audience: This release (1.3.0) is intended for technology demonstration, evaluation purposes, and prototyping on NXP S32Z/E Real-Time Processors and Evaluation Boards. Useful Resources: Examples, Trainings, and Support: https://community.nxp.com/community/mbdt

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Product Release Announcement Automotive Processing NXP Model-Based Design Toolbox for RADAR – version 1.0.0 The Automotive Embedded Systems, Model-Based Design Tools Team at NXP Semiconductors, is pleased to announce the release of the Model-Based Design Toolbox for RADAR version 1.0.0. This release supports automatic code generation for ARM Cortex-A53, NXP SPT Accelerator and NXP LAX Accelerator cores from MATLAB for NXP S32R45 Automotive Microprocessors. This release adds support for code generation and execution on both LAX cores, OpenMP code generation for parallel execution of for loops, and Processor-in-the-Loop (PIL) simulation, improves the code generation and Radar processing demo, and adds support for new exponential, logarithmic, min, max, and thresholding LAX kernels. The product comes with 60+ examples, covering the supported RSDK SPT and LAX Kernels from MATLAB API and demonstrating the programming of the LAX accelerator from MATLAB environment. Target audience: This product is part of the Automotive SW – Model-Based Design Toolbox. FlexNet Location: https://nxp.flexnetoperations.com/control/frse/download?element=6450491 Technical Support: NXP Model-Based Design Toolbox for RADAR issues will be tracked through the NXP Model-Based Design Tools Community space. https://community.nxp.com/community/mbdt Release Content: Automatic C code generation from MATLAB® for NXP S32R45: ARM Cortex-A53 NXP LAX Accelerator Code generation and execution on both LAX cores Support for execution of RSDK SPT kernels: rangeFFT, dopplerFFT, NonCohComb Support Linux application build and run NXP Auto Linux BSP 37.0 for S32R45 Includes MATLAB API for additional RSDK LAX Kernels highly optimized for LAX accelerator add, sub, mul, div, times, cT, inv abs, abs2, sqrtAbs, conj, norm, norm2 diag, eye, zeros, ones, find, sort exp, log, log2, log10, min, max, thresbit cospi, sinpi, tanpi, cispi, sincpi acospi, asinpi, atanpi, atan2pi Processor-in-the-Loop (PIL) simulation mode Improved code generation and reduced memory usage Support for Radar SDK version 1.2.0 Support for MATLAB versions: R2023a R2023b R2024a R2024b More than 60 examples showcasing the supported functionalities: Cholesky Gauss-Newton Eigen (new) Kalman Filter Linear Regression Large Matrix Multiplication Navier-Stokes QR Factorization (updated) MUSIC DoA (updated) Radar processing demo – Automated Driving Toolbox scenario (updated) Standalone and Processor-in-the-Loop (PIL) simulation Range FFT, Doppler FFT, and Non-Coherent Combining offloaded to NXP SPT accelerator MUSIC DoA offloaded to NXP LAX accelerator Radar processing demo – RoadRunner Toolbox scenario (new) Processor-in-the-Loop (PIL) simulation For more details, features, and how to use the new functionalities, please refer to the Release Notes and Quick Start Guides documents attached. MATLAB® Integration: The NXP Model-Based Design Toolbox extends the MATLAB® experience by allowing customers to evaluate and use ARM Cortex-R52 core, NXP SPT Accelerator, and NXP LAX Accelerator from NXP’s S32R45 processor and evaluation board solutions out-of-the-box. NXP Model-Based Design Toolbox for RADAR version 1.0.0 is fully integrated with MATLAB® environment. Target Audience: This release (1.0.0) is intended for technology demonstration, evaluation purposes, and prototyping on NXP S32R45 Processors and Evaluation Boards. Useful Resources: Examples, Trainings, and Support: https://community.nxp.com/community/mbdt

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Product Release Announcement Automotive Embedded Systems NXP Model-Based Design Toolbox for LAX – version 1.2.0 RTM The Automotive Embedded Systems, Model-Based Design Tools Team at NXP Semiconductors, is pleased to announce the release of the Model-Based Design Toolbox for LAX version 1.2.0 RTM. This release supports automatic code generation for ARM Cortex-A53 and NXP LAX Accelerator cores from MATLAB for NXP S32R45 Automotive Microprocessors. This release adds support for RSDK 1.2.0, improves to code generation and Radar processing demo, and adds support for new trigonometric LAX kernels. The product comes with 60 examples, covering the supported RSDK LAX Kernels by MATLAB API and demonstrating the programming of the LAX accelerator from MATLAB environment. Target audience: This product is part of the Automotive SW – Model-Based Design Toolbox. FlexNet Location: https://nxp.flexnetoperations.com/control/frse/download?element=3983168 Technical Support: NXP Model-Based Design Toolbox for LAX issues will be tracked through the NXP Model-Based Design Tools Community space. https://community.nxp.com/community/mbdt Release Content: Automatic C code generation from MATLAB® for NXP S32R45: ARM Cortex-A53 NXP LAX Accelerator Support Linux application build and run NXP Auto Linux BSP 37.0 for S32R45 Includes MATLAB API for additional RSDK LAX Kernels highly optimized for LAX accelerator add, sub, mul, div, times, cT, inv abs, abs2, sqrtAbs ¸conj, norm, norm2 diag, eye, zeros, ones, find, sort cospi, sinpi, tanpi, cispi, sincpi acospi, asinpi, atanpi, atan2pi Improved code generation and reduced memory usage Support for Radar SDK version 1.2.0 Support for MATLAB versions: R2021a R2021b R2022a R2022b R2023a R2023b R2024a More than 60 examples showcasing the supported functionalities: Cholesky Gauss-Newton Eigen (new) Kalman Filter Linear Regression Navier-Stokes QR Factorization (updated) MUSIC DoA (updated) Radar processing demo (updated) Range FFT, Doppler FFT, and Non-Coherent Combining offloaded to NXP SPT accelerator MUSIC DoA offloaded to NXP LAX accelerator For more details, features, and how to use the new functionalities, please refer to the Release Notes and Quick Start Guides documents attached. MATLAB® Integration: The NXP Model-Based Design Toolbox extends the MATLAB® experience by allowing customers to evaluate and use NXP LAX Accelerator from NXP’s S32R45 MPU and evaluation board solutions out-of-the-box. NXP Model-Based Design Toolbox for LAX version 1.2.0 is fully integrated with MATLAB® environment. Target Audience: This release (1.2.0 RTM) is intended for technology demonstration, evaluation purposes, and prototyping on NXP S32R45 MCUs and Evaluation Boards. Useful Resources: Examples, Trainings, and Support: https://community.nxp.com/community/mbdt

NXPモデルベース・デザイン・ツールナレッジベース

NXP Model-Based Design Tools Knowledge Base

ディスカッション

Motor Control Class: Processor-in-the-Loop (PIL)

Motor Control Class: Software-in-the-Loop (SIL)

Motor Control Class: Commutation identification pattern (bonus video)

Motor Control Class: Commutation

Motor Control Class: Hall Sensors Initial Position

Motor Control Class: Hall Sensors Reading Application

Motor Control Class: Hall Sensors

Example Model: MPC5744P BLDC Closed Loop Speed Control

Example Model: MPC5744P BLDC Open Loop Voltage Control

FreeMASTER - How To

S32K Race Car Demo

Motor Control and Communication Demo

Motor Control Class: BLDC Motor Theory

Motor Control Class: INPUT COMMANDS

Motor Control Class: GPIO PROGRAMMING

Motor Control Class: ADC PROGRAMMING

Motor Control Class: APPLICATION PARTITIONING

Motor Control Class: INTRODUCTION

Motor Control Class - Announcement

Model-Based Design Toolbox for S32K14x Automotive MCU rev2.0

NXP Model-Based Design Toolbox for S32Z/E - version 1.3.0

NXP Model-Based Design Toolbox for RADAR - version 1.0.0

NXP Model-Based Design Toolbox for LAX v1.2.0 - Product Release Announcement