控制理论(社会学)
伺服机构
伺服电动机
控制器(灌溉)
滑模控制
模糊逻辑
控制工程
工程类
模糊控制系统
非线性系统
直流电动机
自适应控制
控制系统
振动
计算机科学
控制(管理)
人工智能
量子力学
生物
机械工程
农学
物理
电气工程
作者
Huaitao Shi,Kuo-See Huang
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2001-01-01
卷期号:48 (4): 845-852
被引量:23
摘要
A two-level spring-lumped mass servomechanism system was constructed for disturbance rejection control investigation. This dynamic absorber is similar to a model of the serial-type vehicle suspension system. The lower level is actuated by two DC servo motors, to provide the specified internal and external disturbances to the vibration control system. The upper level has another DC servo motor to control the main body balancing position. In order to tackle the system's nonlinear and time-varying characteristics, an adaptive fuzzy sliding-mode controller is proposed to suppress the main mass position variation due to external disturbance. This intelligent control strategy combines an adaptive rule with fuzzy and sliding-mode control technologies. It has online learning ability for responding to the system's time-varying and nonlinear uncertainty behaviors, and for adjusting the control rules and parameters. Only seven rules are required for this control system, and its control rules can be established and modified continuously by online learning. The experimental results show that this intelligent control approach effectively suppresses the vibration amplitude of the body, with respect to the external disturbance.
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