Synchronous control of hydraulic cylinders for tunneling machine based on improved ESO

量子隧道 控制理论(社会学) 控制(管理) 工程类 物理 机械工程 计算机科学 控制工程 材料科学 人工智能 量子力学
作者
Meisheng Yang,Chixiang Yu,Shuang Luo,Kun Lian
出处
期刊:Mechanics Based Design of Structures and Machines [Taylor & Francis]
卷期号:: 1-23
标识
DOI:10.1080/15397734.2024.2423769
摘要

The hydraulic system of the tunneling machine exhibits significant nonlinearity, resulting in increased data measurement costs and reduced the synchronization accuracy of two hydraulic cylinders. The crucial part of the tunneling machine is the cutting mechanism for coal mining, with its hydraulic system primarily comprising the lifting hydraulic system and the rotary hydraulic system. However, the synchronization precision of two hydraulic cylinders greatly impacts the reliability of the lifting and rotary circuits. To reduce data acquisition costs during the operation of the tunneling machine and achieve high synchronization accuracy between hydraulic cylinders, a control method based on an improved extended state observer active disturbance rejection control (ESO-ADRC) is proposed. First, a mathematical model of the valve-controlled hydraulic synchronization system is established, and introduce dead zone compensation in the electro-hydraulic proportional directional valve to improve the response speed of the control system by 0.5–1 sec. Then, improved and traditional extended state observers are integrated into the active disturbance rejection controller. Result indicated that the improved ESO-ADRC system offers better observer tracking speed performance, using displacement and velocity as control objectives, the maximum synchronization error was reduced by 35 and 50%, respectively. Additionally, master–slave control and deviation coupling control methods are applied to the system. The results show that with displacement and velocity as control objectives, the maximum absolute value synchronization error of the hydraulic cylinders in the deviation coupling active disturbance rejection control system was reduced by 66 and 63%, respectively.
最长约 10秒,即可获得该文献文件

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
乐乐应助专一的怀绿采纳,获得10
1秒前
潇洒闭月完成签到,获得积分10
2秒前
3秒前
动漫大师发布了新的文献求助10
4秒前
4秒前
Chuwei完成签到 ,获得积分10
5秒前
5秒前
汉堡包应助山高采纳,获得10
6秒前
满当当发布了新的文献求助10
7秒前
Leee完成签到,获得积分20
8秒前
一行白鹭完成签到,获得积分20
8秒前
飘雪发布了新的文献求助20
8秒前
8秒前
8秒前
Xxynysmhxs完成签到 ,获得积分10
9秒前
Chuwei发布了新的文献求助10
9秒前
111完成签到,获得积分10
9秒前
柯南发布了新的文献求助10
10秒前
调皮盼烟发布了新的文献求助10
10秒前
12秒前
13秒前
脑洞疼应助ff采纳,获得30
14秒前
TOW应助Solar energy采纳,获得10
14秒前
英俊延恶发布了新的文献求助20
15秒前
CipherSage应助满当当采纳,获得10
16秒前
害怕的夏蓉完成签到,获得积分20
17秒前
NANA发布了新的文献求助10
17秒前
CYAA完成签到,获得积分10
18秒前
19秒前
认真的飞扬完成签到,获得积分10
20秒前
111完成签到,获得积分10
22秒前
纯真的笑容完成签到,获得积分20
22秒前
华仔应助扎心采纳,获得10
24秒前
24秒前
难过的丹烟完成签到,获得积分10
26秒前
27秒前
28秒前
寒冷语兰发布了新的文献求助10
28秒前
佳期如梦完成签到 ,获得积分10
29秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Encyclopedia of Geology (2nd Edition) 2000
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3780146
求助须知:如何正确求助?哪些是违规求助? 3325451
关于积分的说明 10223189
捐赠科研通 3040655
什么是DOI,文献DOI怎么找? 1668944
邀请新用户注册赠送积分活动 798878
科研通“疑难数据库(出版商)”最低求助积分说明 758623