文档介绍：摘要
,模糊逻辑理论有了飞跃性的发展,并得到了广泛的应用。
模糊控制是基于模糊集合、模糊逻辑,同控制理论相结合,模拟人的思维方式,对难建模的对象实施的一种控制方法,它实际上是一种非线性控制,从属于智能控制的范畴。其主要优点在于:使用语言方法,可不需要过程的精确数学模型;鲁棒性强,适于解决过程控制中的非线性、强耦合时变、滞后等问题;操作人员易于通过人的自然语言进行人机界面联系,这些模糊条件语句容易加到过程的控制环节上。
本文从基于Sugeno分段线性模糊控制着手,通过Sugeno型的模糊推理系统研究嵌入式控制中的一个经典的例子、就是倒单摆平衡问题。基于Sugeno的分段线性模糊控制比较用建立二阶微分方程数学模型的传统控制方法,在软硬件开销和控制性能方面都更为先进。
关键词:Sugeno模型,模糊控制,分段线性,倒单摆
Sugeno - Fuzzy Control Based on the Piecewise Linear
ABSTRACT
Since 1965 the United States control experts L. A. Zadeh using fuzzy sets to describe the objective world of uncertainty information, With fuzzy logic theory leap in the development and has been widely used.
Fuzzy control is based on fuzzy sets, fuzzy logic, and control theory, simulation of the way of thinking, Modeling of the target is difficult to implement a control method, it is actually a non-linear control, as well as to the intelligent control areas. Its main advantages are : Use of language, the process need not be an exact mathematical model; Robust strong. suitable for process control solution to the nonlinear, time-varying strong coupling, such issues; Operators easily through the natural language for the man-machine interface links These fuzzy conditional statement easily added to the process control links.
In this paper. Based on piecewise linear Sugeno Fuzzy Control proceed, through Sugeno - Fuzzy Inference System embedded control study of a classic example. is inverted pendulum balance. Based on the piecewise linear Sugeno fuzzy control more second-order differential equation with the establishment of the mathematical model of the traditional control method the hardware and software overhead and performance are even more advanced.
Key words: Sugeno model, fuzzy control, piecewise linear, inverted pendulum
基于Sugeno的分段线性模糊控制
0 引言
模糊控制是近代控制理论中建立在模糊集合论基础上的一种基于语言规则与模糊推理的控制理论,它是只能控制的一个重要分支。模糊控制理论和方法的提出,“模糊集合”的概念,使得有人的经验参与的控制过程成为