Adaptive sliding mode control with fuzzy adjustment of switching term based on the Takagi-Sugeno model for horizontal vibration of the high-speed elevator cabin system

控制理论(社会学) 电梯 控制器(灌溉) 振动 滑模控制 执行机构 模糊逻辑 计算机科学 线性二次调节器 工程类 非线性系统 控制(管理) 结构工程 物理 人工智能 生物 量子力学 农学
作者
Qin He,Tichang Jia,Ruijun Zhang,Lixin Liu
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science [SAGE]
卷期号:236 (9): 4503-4519 被引量:11
标识
DOI:10.1177/09544062211053191
摘要

In purpose of reducing the severe horizontal vibration of the high-speed elevator car system which is caused by the excitation of the guide rail, an adaptive sliding mode controller with fuzzy switching gain (FGASMC) is designed in this paper. At first, a 4-DOF active control dynamics model of the horizontal vibration of the elevator car is designed, on which the actuators are symmetrically distributed around the cabin center, and the accuracy of which is demonstrated by experiments. Considering the uncertainty caused by the load conditions, structural mass of the elevator, and the output gain of actuators, a Takagi-Sugeno (TS) model for controlling horizontal vibration of the car system is derived based on the designed 4-DOF dynamics model. Then, based on the TS model mentioned above, an adaptive sliding mode controller (ASMC) for suppressing the horizontal vibration of the car system is designed by a quadratic index method. To ensure the reachability of the sliding mode and keep the chattering smaller, the fuzzy method is utilized to adjust the switching gain of the ASMC. For that, an FGASMC is proposed. Finally, the effectiveness of the proposed controller is verified by MATLAB simulation. The results illustrate that the designed FGASMC can effectively suppress horizontal vibration of the high-speed elevator car system, and the control effect of which is obviously superior than the linear quadratic regulator optimized by genetic algorithm, which provides a new idea for active vibration reduction of high-speed elevator car.

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
可爱的安萱完成签到,获得积分10
1秒前
shuke发布了新的文献求助10
1秒前
1秒前
微笑的冰烟应助嘉佳伽采纳,获得10
1秒前
CodeCraft应助heiye采纳,获得10
2秒前
ju发布了新的文献求助10
3秒前
3秒前
蓝天发布了新的文献求助10
3秒前
落寞土豆完成签到,获得积分20
3秒前
nlby应助教科书式的小明采纳,获得20
3秒前
4秒前
hh完成签到 ,获得积分10
4秒前
4秒前
wanci应助白菜豆腐汤采纳,获得10
5秒前
Daisy完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
6秒前
sunheyang留下了新的社区评论
6秒前
neroil完成签到,获得积分20
6秒前
8秒前
8秒前
8秒前
8秒前
8秒前
8秒前
过客完成签到,获得积分10
8秒前
ggsddu完成签到,获得积分10
8秒前
mick应助科研通管家采纳,获得10
8秒前
a379896033完成签到 ,获得积分10
8秒前
乐乐应助科研通管家采纳,获得10
8秒前
酷波er应助科研通管家采纳,获得10
8秒前
Maple完成签到,获得积分10
8秒前
8秒前
研友_VZG7GZ应助科研通管家采纳,获得10
8秒前
mick应助科研通管家采纳,获得10
9秒前
传奇3应助科研通管家采纳,获得10
9秒前
无花果应助科研通管家采纳,获得10
9秒前
顾矜应助科研通管家采纳,获得10
9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
Kinesiophobia : a new view of chronic pain behavior 3000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 1100
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Proceedings of the Fourth International Congress of Nematology, 8-13 June 2002, Tenerife, Spain 500
Le genre Cuphophyllus (Donk) st. nov 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5939097
求助须知:如何正确求助?哪些是违规求助? 7047545
关于积分的说明 15877128
捐赠科研通 5069113
什么是DOI,文献DOI怎么找? 2726421
邀请新用户注册赠送积分活动 1684904
关于科研通互助平台的介绍 1612584