NXP Model-Based Design Tools Knowledge Base

Discussions

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

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 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 the overall motor control application developed with Model Based Design Toolbox. We are going to assemble all the blocks developed throughout this course and we will have the motor running under Speed Controller supervision. We also discuss about the FreeMASTER and you can easily create nice control panels for the applications and how you can validate the Speed Controller and overall Motor Control application. We discuss about: - Speed Controller implementation in Simulink for real time systems; - Motor and Inverter protection for over-current, over- and under-voltage; - FreeMASTER control panel using HTML and Java Script; - Various tests on the MPC5744P DevKit and MotorGD DevKit; 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 how to build, simulate and test a speed estimator based on Hall Sensors for a BLDC motor. The estimator is first tested under Matlab Simulink environment and then ported into the Open Loop Control Simulink model and tested on the MPC5744P Development Kit with FreeMASTER over CAN interface. We discuss about: - How to compute the speed; - How to build a speed estimator based on Hall sensors; - Step-by-step model building an enhancements; 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

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

NXP Model-Based Design Tools Knowledge Base

NXP Model-Based Design Tools Knowledge Base

Discussions

S32K1xx - NXP’s Model-Based Design Toolbox Installation

Model Based Design Toolbox Motor Control Example

Motor Control Class: Hall Sensors

Motor Control Class: ADC PROGRAMMING

Model Based Design Toolbox Quick Install Guide

MBDT Happy New Year 2020

Motor Control Class: GPIO PROGRAMMING

Motor Control Class: Motor Control System

Motor Control Class: Speed Estimator

Motor Control Class: Closed Loop Control

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

Model Based Design - Test Platform

S32K Race Car Demo

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)

V/F Scalar Control of PMSM using Model-Based Design Toolbox and S32K

Motor Control Class: Commutation

Torque Control with S32K14x and MotorGD Development Kits Using Model-Based Design Toolbox

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