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Traction Inverter Control

Project Type

Engineering

Date

April 2022

Loaction

Peoria, IL

Role

Lead Engineer

Hossein Dehnavifard first modeled the field-oriented control (FOC) algorithm for the traction motor in Simulink, using detailed motor characteristics and the inverter's capabilities to optimize performance. This simulation allowed for thorough analysis and fine-tuning of the system’s behavior under various conditions. After finalizing the model, he implemented the algorithm in C/C++ to ensure real-time control and integration with the locomotive’s systems.

While other control algorithms, such as V/Hz and torque control, were initially considered, they were ultimately deemed unsuitable for this application due to their limitations in dynamic response and precision. The FOC algorithm, however, provided superior control over torque and speed, enhancing efficiency and responsiveness under various load conditions.

Furthermore, Hossein designed an innovative path pattern for the inverter’s IGBT, carefully considering its thermal tolerance to ensure reliable operation. He also optimized the switching frequency, aligning it with the system's resonance frequency by targeting the third and fifth harmonics. This approach minimized power losses, reduced electromagnetic interference, and improved overall system efficiency. Through these advanced techniques, Hossein significantly enhanced the performance and durability of the traction motor system, contributing to the locomotive's energy efficiency and operational reliability.

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