NXPモデルベース・デザイン・ツールナレッジベース

ディスカッション

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

In this video we discuss about Open Loop Control strategy and for the first time in this course we will put together all the models we have created so far and build the Simulink model that will allow us to rotate the BLDC motor. We discuss about: - Open Loop Control diagram; - Step-by-step model building an enhancements; - Test the open loop control system on the BLDC motor; 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 power stage (DevKit MotorGD) configuration that involves the configuration and initialization of the MC34GD3000 FET pre-driver via SPI commands and the setup of the FlexPWM peripheral to generate PWM commands to the inverter MOSFETs via pre-driver MC34GD3000. We discuss about: - Pre-driver MC34GD3000 initialization sequence; - Pre-driver MC34GD3000 programming via SPI; - How to configure and test the FlexPWM peripheral; - How to test and validate the SPI communication between MPC5744P and MC34GD3000; 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 practical implementation of the motor phase commutation algorithm and how to validate and test such algorithm using different approaches in Model Based Design. We discuss about: - How to build the commutation table starting from the hall sensor measurement experiment; - How to implement the Software Look Up Tables for rotating the motor in clockwise (CW) or counter clockwise (CCW) directions; - Simulink model that implement the commutation algorithm; 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 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 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 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 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 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

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 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

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

In this video we discuss about control system theory and the mathematics behind the speed controller designing process. We are going to analyse the control system stability based on poles and zeros location and then we will compute the PI speed controller gains using the Root Locus allocation method. For the cases where the system transfer function is unknown we are discussing Ziegler Nichols method for finding the controller gains and we are going to verify the control system designing process by simulating a BLDC motor behavior and building a PI speed controller to handle the system response. We discuss about: - How to choose the controller type based on system transfer function; - How to analyze system stability starting from the characteristic polynomial; - What are the gain, zeros and poles of closed loop transfer function; - Root Locus allocation method based on second order ideal model with dumping factor and natural frequency; - Ziegler Nichols tuning methods; - Simulink models for BLDC motor and PI Speed Controller 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

特集記事

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

特集記事

Product Release Announcement Automotive Processing NXP Model-Based Design Toolbox for HCP – version 1.2.0 RFP The Automotive Processing, Model-Based Design Tools Team at NXP Semiconductors, is pleased to announce the release of the Model-Based Design Toolbox for HCP version 1.2.0. This release supports automatic code generation from MATLAB/Simulink for S32G2xx, S32S2xx, and S32R41 MPUs. This new product adds support for new MATLAB versions R2022a and R2022b for running in Processor-in-the-Loop mode. FlexNet Location: https://nxp.flexnetoperations.com/control/frse/download?element=13897177 Technical Support: NXP Model-Based Design Toolbox for HCP issues will be tracked through NXP Model-Based Design Tools Community space. https://community.nxp.com/community/mbdt Release Content Automatic C code generation from MATLAB® for NXP S32G2xx derivatives: S32G274A Automatic C code generation from MATLAB® for NXP S32S2xx derivatives: S32S247TV Automatic C code generation from MATLAB® for NXP S32R4x derivatives: S32R41 Supported Evaluation Boards GoldBox Development Platform (S32G-VNP-RDB2 Reference Design Board) GreenBox II Development Platform X-S32R41-EVB Development Board Support for MATLAB versions: R2020a R2020b R2021a R2021b R2022a R2022b Tools update for S32R41: S32 Flash Tool v2.1 S32 Debugger v3.5 Simulation mode: We provide support for Software-in-Loop (SIL) and Processor-in-Loop (PIL) simulation mode with code execution profiling: Includes an Example library with 16 examples that cover: Software-in-Loop (SIL), Processor-in-Loop (PIL) GUI to help you setup the toolbox and the evaluation board : For more details, features, and how to use the new functionalities, please refer to the Release Notes document attached. MATLAB® Integration The NXP Model-Based Design Toolbox extends the MATLAB® and Simulink® experience by allowing customers to evaluate and use NXP’s S32G2xx, S32S2xx, and S32R41 processors and evaluation board solutions out-of-the-box with: NXP Model-Based Design Toolbox for HCP version 1.2.0 (RFP) is fully integrated with MATLAB® environment in terms of installation: Target Audience This release (1.2.0 RFP) is intended for technology demonstration, evaluation purposes, and prototyping S32G2xx, S32S2xx, and S32R41 and Evaluation Boards. Useful Resources Examples, Trainings and Support: https://community.nxp.com/community/mbdt

特集記事

General Installer and Setup How to install the license of MBDT for S32K3? How to setup the S32K344 toolbox and EVB? How to export the generated code to S32DS3.4? Export generated projects in MBDT for s32k3XX Programming methods MBDT for S32k3 using P&E Multilink Custom code usage SENT Protocol Support in S32K3 MBDT Custom project usage How to use custom project configuration Sequential reset S32K344-Q172 sequential reset SIL / PIL / External Mode External mode External mode example wouldn't compile after update S32K3X4EVB-Q257 with MBDT PIL Example: Not able to run Simple PIL S32CT example Peripherals ADC How to add a new ADC channel using the external configuration tool SPI How to send 32 bit frames DIO S32K3x4-Q172P_with_MBDT_Blink_Project DIO and PWM configuration issues ICU PWM Duty cycle measurement PWM PWM raising edge and falling edge detection Interrupt based PWM generation CAN FreeMASTER over CAN connection issue Apps Motor Control SPI configuration MODEL based design tool box- 32 bit instruction (SIMULINK)

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

Model Based Design Toolbox Motor Control Example

Control an LED via Push Button with Model-Based Design Toolbox on S32K

S32K Race Car Demo

Motor Control Class: ADC PROGRAMMING

Motor Control Class: Open Loop Control System for a BLDC Motor

Model Based Design - Test Platform

Motor Control Class: Power Stage Configuration (DevKit MotorGD)

Motor Control Class: Commutation Algorithm Implementation

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

Motor Control Class: Commutation identification pattern (bonus video)

Motor Control Class: Commutation

Motor Control Class: Hall Sensors Reading Application

Motor Control Class: Hall Sensors Initial Position

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

Motor Control Class: GPIO PROGRAMMING

S32K1xx - NXP’s Model-Based Design Toolbox Installation

Motor Control Class: INTRODUCTION

Motor Control Class: APPLICATION PARTITIONING

MBDT Happy New Year 2020

Motor Control Class: Closed Loop Control

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

NXP Model-Based Design Toolbox for High-Performance Computing Platform (HCP) - version 1.2.0 RFP

MBDT for S32K3 - Frequently Asked Questions