Design and Implementation of an Efficient Hardware Coprocessor IP Core for Multi-axis Servo Control Based on Universal SoC

协处理器 嵌入式系统 计算机科学 现场可编程门阵列 专用集成电路 芯片上的系统 微控制器 伺服驱动 多路复用 伺服控制 计算机硬件 伺服 电信 人工智能
作者
Jitong Xin,Meiyi Cha,Luojia Shi,Xiaoliang Jiang,Chunyu Long,Qichun Lin,Hairong Li,Fangcong Wang,Peng Wang
出处
期刊:Electronics [Multidisciplinary Digital Publishing Institute]
卷期号:12 (2): 452-452 被引量:2
标识
DOI:10.3390/electronics12020452
摘要

The multi-axis servo control system has been extensively used in industrial control. However, the applications of traditional MCU and DSP chips in high-performance multi-axis servo control systems are becoming increasingly difficult due to their lack of computing power. Although FPGA chips can meet the computing power requirements of high-performance multi-axis servo control systems, their versatility is insufficient, and the chip is too costly for large-scale use. Therefore, when designing the universal SoC, it is better to directly embed the coprocessor IP core dedicated to accelerating the multi-motor vector control current loop operation into the universal SoC. In this study, a coprocessor IP core that can be flexibly embedded in a universal SoC was designed. The IP core based on time division multiplexing (TDM) technology could accelerate the multi-motor vector control current loop operation according to the hardware–software coordination scheme proposed in this study. The IP was first integrated into a universal SoC to verify its performance, and then the FPGA prototype verification for the SoC was performed under three-axis servo control systems. Secondly, the ASIC implementation of the IP was also conducted based on the CSMC 90 nm process library. The experimental results revealed that the IP had a small area and low power consumption and was suitable for application in universal SoC. Therefore, the cheap and low-power single universal SoC with the coprocessor IP can be suitable for multi-axis servo control.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
超级凤梨发布了新的文献求助10
2秒前
Wx发布了新的文献求助10
3秒前
3秒前
3秒前
可爱的函函应助安静的剑采纳,获得10
3秒前
161319141完成签到 ,获得积分10
4秒前
4秒前
5秒前
领导范儿应助任梁辰采纳,获得100
5秒前
6秒前
hututu发布了新的文献求助10
6秒前
你好完成签到,获得积分10
6秒前
Alien完成签到,获得积分10
7秒前
zzy完成签到,获得积分20
7秒前
明理楷瑞发布了新的文献求助10
8秒前
无花果应助JUN采纳,获得10
8秒前
8秒前
光亮笑柳完成签到,获得积分10
8秒前
8秒前
李爱国应助好久不见采纳,获得10
8秒前
10秒前
上官若男应助Wx采纳,获得10
10秒前
拉姆发布了新的文献求助10
11秒前
11秒前
乐乐应助Alien采纳,获得10
11秒前
decimalpoint发布了新的文献求助10
12秒前
12秒前
香蕉觅云应助3080采纳,获得10
12秒前
12秒前
NexusExplorer应助Pan采纳,获得10
13秒前
丘比特别肝完成签到,获得积分10
13秒前
13秒前
hututu完成签到,获得积分10
13秒前
wujingshuai完成签到,获得积分10
13秒前
14秒前
momo发布了新的文献求助10
14秒前
3152发布了新的文献求助10
14秒前
derrick应助恰恰恰采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6365562
求助须知:如何正确求助?哪些是违规求助? 8179494
关于积分的说明 17241781
捐赠科研通 5420542
什么是DOI,文献DOI怎么找? 2868024
邀请新用户注册赠送积分活动 1845232
关于科研通互助平台的介绍 1692636