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Application of Fuzzy Control for Inverse Pendulum System

机译:模糊控制在倒立摆系统中的应用

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Fuzzy control is an intelligent control approach, but control rule base must firstly be built. In this paper, a new architecture of rule base in multiple variable control system is proposed. Multiple-variables system is very common in practice and every variable is coupling with others, it is not easy to design control rule base. New approach on rule design is depending on the priority of variables. Inverse pendulum is a good system for testing all kinds of control algorithms. Based on the idea, According to inverse pendulum system, there are two variables: inverse pendulum angle θ and cart position, there are strong couple relation in variables. Because the pendulum angle is more important variable that should be controlled at first while the pendulum position is the second important variable, the control rule base should designed under different priority's variable. If the first variable (angle) is not stable, then the position's control is no meaningless. This paper explains the architecture of the new rule base and discusses the implementation in cart-inverse pendulum system. Simulation results show that the method is effective for multiple variable control system.
机译:模糊控制是一种智能控制方法,但必须首先建立控制规则库。本文提出了一种多变量控制系统中规则库的新架构。多变量系统在实践中非常普遍,每个变量都与其他变量耦合,设计控制规则库并不容易。规则设计的新方法取决于变量的优先级。倒立摆是测试各种控制算法的良好系统。基于这种思想,根据倒立摆系统,存在两个变量:倒立摆角θ和小车位置,这些变量之间存在很强的耦合关系。由于摆角是首先要控制的更重要的变量,而摆位置是第二重要的变量,因此控制规则库应根据不同优先级的变量进行设计。如果第一个变量(角度)不稳定,那么位置的控制就没有意义。本文解释了新规则库的体系结构,并讨论了逆手摆系统的实现。仿真结果表明,该方法对多变量控制系统有效。

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