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Motor control and diagnostic software for six-phase three-level inverter

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F24%3APR40099" target="_blank" >RIV/00216305:26620/24:PR40099 - isvavai.cz</a>

  • Result on the web

    <a href="https://https://ai4csm.ceitec.cz/en/results/motor-control-and-diagnostic-software-for-six-phase-three-level-inverter/" target="_blank" >https://https://ai4csm.ceitec.cz/en/results/motor-control-and-diagnostic-software-for-six-phase-three-level-inverter/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Motor control and diagnostic software for six-phase three-level inverter

  • Original language description

    Two compatible variants of the inverter were considered, the IGBT inverter at BUT and the GaN inverter constructed by ZF. The Infineon AURIX 3rd generation (not yet publicly available) was targeted as a microcontroller in the AI4CSM project. Its GTM module is sufficient to generate all 36 PWM control signals of the inverter. The internal structure of the microcontroller is prepared for precise synchronization of the sensor measurements to the inverter PWM, which was implemented in low-level drivers. A key part of the motor control software is the DC bus middle point balancing, which was implemented in two parts. The first part is responsible for feed-forward compensation each PWM period. The second part controls both DC bus voltages to the same value. High-level motor control software was designed and tested in a MATLAB/Simulink environment. The three-level inverter was modelled as a Simscape schematic to verify the behaviour of the DC bus middle point balancing algorithm. The algorithms were integrated into microcontroller firmware by C code generation from Simulink models. The diagnostic algorithms based on convolutional artificial neural networks were implemented into the Parallel Processing Unit (PPU) of the AURIX microcontroller using vector DSP instructions. For measurement and calibration on the inverter, the XCP protocol over the CAN FD communication bus was integrated into the microcontroller software. To interface the inverter with the testbench control system, the CAN communication stack based on the DBC files description was implemented using the Vehicle network toolbox in Simulink.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/8A21013" target="_blank" >8A21013: Automotive Intelligence for Connected Shared Mobility</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    MC+DIAG 3L 6phase SW v1.0

  • Technical parameters

    • generování 36 signálů pro generování PWM střídače • balancování středu stejnosměrného meziobvodu • diagnostické algoritmy s podporou konvolučních neuronových sítí • akcelerace výpočtů s využitím jednotky PPU nového AURX procesoru třetí generace

  • Economical parameters

    Software pro řízení a diagnostiku elektrických pohonů bude využíván pro další výzkum a vývoj. Návrh byl proveden s ohledem na rychlost prototypování. Komerční využití se v tuto chvíli nepředpokládá.

  • Owner IČO

    00216305

  • Owner name

    Vysoké učení technické v Brně