主动悬架
执行机构
控制理论(社会学)
悬挂(拓扑)
液压缸
控制工程
模糊逻辑
模糊控制系统
计算机科学
控制系统
人工神经网络
控制(管理)
工程类
人工智能
数学
机械工程
电气工程
纯数学
同伦
作者
Jing Na,Yingbo Huang,Xing Wu,Yan‐Jun Liu,Yunpeng Li,Guang Li
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-08-01
卷期号:52 (8): 4714-4726
被引量:31
标识
DOI:10.1109/tsmc.2021.3103807
摘要
A reliable, efficient, and simple control is presented and validated for a quarter-car active suspension system equipped with an electro-hydraulic actuator. Unlike the existing techniques, this control does not use any function approximation, e.g., neural networks (NNs) or fuzzy-logic systems (FLSs), while the unmolded dynamics, including the hydraulic actuator behavior, can be accommodated effectively. Hence, the heavy computational costs and tedious parameter tuning phase can be remedied. Moreover, both the transient and steady-state suspension performance can be retained by incorporating prescribed performance functions (PPFs) into the control implementation. This guaranteed performance is particularly useful for guaranteeing the safe operation of suspension systems. Apart from theoretical studies, some practical considerations of control implementation and several parameter tuning guidelines are suggested. Experimental results based on a practical quarter-car active suspension test-rig demonstrate that this control can obtain a superior performance and has better computational efficiency over several other control methods.
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