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

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

R - Software

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

MC+DIAG 3L 6phase SW v1.0

Technické parametry

• 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

Ekonomické parametry

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.

IČO vlastníka výsledku

00216305

Název vlastníka

Vysoké učení technické v Brně