Smart Motor Control leading to improved system efficiency and diagnostic coverage (focus <200V motors)

智能电机控制可提高系统效率和诊断覆盖范围（重点是 <200V 电机）

• 批准号: 2749702
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2749702
• 关键词: Smart; Motor; Control; leading; improved

The project will explore new smart motor control concepts that lead to improved system efficiency and diagnostic for electric drives operation below 200V. The project will explore optimised turn-on and turn-off concepts applied to different semiconductor switching devices and modules and to develop a new self optimised controller that is not only able to operate the drive at its best points but also includes fault diagnostics and is fault tolerant.Key parameters of FETs for motor control; technology requirements for optimum turn ON/OFF and parallelization.Gate Driver requirements for optimum turn ON/OFF; impact of integration (GD+Mosfet in single package); current vs. voltage source GD; BSD vs Charge Pump vs Trickle Charge Pump.Self optimized systems: Possibilities to build a system that optimizes itself automatically inc. HW/SW realization.Diagnosis of failures, fault tolerant systems, system protection against catastrophic failure.

该项目将探索新的智能电机控制概念，以提高系统效率和200 V以下电力驱动器的诊断。该项目将探索应用于不同半导体开关器件和模块的优化接通和关断概念，并开发一种新的自优化控制器，不仅能够在最佳点运行驱动器，而且还包括故障诊断和容错。电机控制FET的关键参数;最佳接通/关断和并行化的技术要求。集成的影响（GD+MOSFET在单个封装中）;电流与电压源GD; BSD与电荷泵与涓流电荷泵。自优化系统：可能构建一个自动优化的系统，包括：硬件/软件实现。故障诊断，容错系统，系统保护，防止灾难性故障。