Adaptive Fuzzy Sliding Mode Control of an Inverted Pendulum Mounted on a Ball System

被引:0
|
作者
Hernandez, Ruben [1 ]
Jurado, Francisco [1 ]
机构
[1] Nacl Mexico IT La Laguna, Div Estudios Posgrad & Invest Tecnol, Torreon, Coahuila De Zar, Mexico
来源
2018 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI) | 2018年
关键词
Adaptive control; ballbot; fuzzy control; sliding mode control; underactuated systems; ROBOTICS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Underactuated systems are mechanical systems with fewer actuators than the system degrees of freedom, i.e., some degrees of freedom are not directly driven by actuators. Many benchmark underactuated systems have been developed to study the nature of underactuated dynamics and their possible controller designs. Unlike fully actuated systems where many control strategies are available for an entire class of systems, there are few results applicable to even a small class of underactuated mechanical systems. In this paper, an Adaptive Fuzzy Sliding Mode Controller (AFSMC) is proposed in order to stabilize an inverted pendulum mounted on a ball system, also known as ballbot; this latter an interesting underactuated mechanical system for which the controller designs are a pending task, i.e. the performance for different control strategies could be explored. The performance of our proposal is verified via numerical simulation, showing the robustness against time-varying uncertainties and disturbances.
引用
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页数:6
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