The Role and Structure of Rotary Variable Transformers

The Role and Structure of Rotary Variable Transformers

1. The Role of Rotary Variable Transformers A rotary transformer, also known as a rotary variable transformer or angle sensor, is a type of position sensor that can accurately detect the position, direction, and speed of a rotor. It is used to control the direction and speed of drive motors or generators (for energy recovery). … Read more

How to Choose Between Eddy Current Position Sensors and Rotary Transformers?

How to Choose Between Eddy Current Position Sensors and Rotary Transformers?

RIO Electric Drive Focusing on sharing knowledge and information related to new energy vehicles and the three electric systems. 《 Research on White Box Modeling Methods for Negative Effects of Permanent Magnet Motor Variable Frequency Drive Based on Small Signal Finite Element Analysis》,This is original content and may not be reproduced without permission. For further … Read more

High-Precision Motor Control Scheme Using Rotary Transformers

High-Precision Motor Control Scheme Using Rotary Transformers

Source | Renesas Embedded Encyclopedia What is a rotary transformer? It is an electromagnetic sensor used to measure the angular displacement and angular velocity of rotating objects. As shown in the figure below, the rotary transformer consists of a stator and a rotor, with the rotor typically fixed to the motor shaft, rotating synchronously. The … Read more

Efficient Transformer: SparseViT Reassessing Activation Sparsity in High-Resolution ViT

Efficient Transformer: SparseViT Reassessing Activation Sparsity in High-Resolution ViT

Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Article One to Nineteen, which includes content on large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, generative AI acceleration, etc. The content links are as follows: Efficient … Read more

Efficient Transformer for TinyML: Long-Short Distance Attention

Efficient Transformer for TinyML: Long-Short Distance Attention

Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Part 1 to 19, including large model quantization, fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. The content links are as follows: Efficient Large Model Full-Stack Technology … Read more

LoRA: Low-Rank Adaptation of Large Language Models

LoRA: Low-Rank Adaptation of Large Language Models

Paper Title: LoRA: Low-Rank Adaptation of Large Language Models Authors: Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen Compiled by: Kuang Ji Reviewed by: Los Abstract: This article introduces a new approach for deploying large models, called LoRA, which reduces the number of parameters needed for … Read more

How to Build a High-Precision Rotary Transformer Simulator with Fault Injection Features?

How to Build a High-Precision Rotary Transformer Simulator with Fault Injection Features?

Good articles should be shared! If you like this article, please contact the backend to add to the whitelist, and you are welcome to reprint it~ Due to the ability of rotary transformers to maintain excellent reliability and high precision performance in harsh and adverse environments for a long time, they are widely used in … Read more