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基于S函数的RBF神经网络PID控制器Simulink仿真
引用本文:李绍铭,赵伟. 基于S函数的RBF神经网络PID控制器Simulink仿真[J]. 安徽冶金科技职业学院学报, 2008, 18(1): 19-21
作者姓名:李绍铭  赵伟
作者单位:安徽工业大学电气信息学院,安徽马鞍山,243002;安徽工业大学电气信息学院,安徽马鞍山,243002
基金项目:安徽省教育厅自然科学基金 , 山东省科研发展计划项目
摘    要:以RBF神经网络PID控制器的Simulink仿真为例,介绍了复杂控制规律的S函数构造方法。给出了基于MATLAB语言的RBF神经网络PID控制器的S函数仿真模型,及该模型在一非线性对象的仿真结果。从而避免了复杂系统仿真时采用编程方法编写大量复杂而烦琐的源程序,使编程快速、简捷,调试方便,使系统仿真工作量会大大减少。采用S函数可以充分发挥Simulink的优势,扩充Simulink的仿真功能,不但仿真模型简单,而且大大降低了编程的难度,特别适合于复杂控制系统的仿真。

关 键 词:S函数  RBF神经网络PID控制器  Simulink仿真模型
文章编号:1672-9994(2008)01-0019-03
修稿时间:2008-01-26

Simulink Simulation of RBF network PID Controlle Based on S-function
LI Shao-ming,ZHAO Wei. Simulink Simulation of RBF network PID Controlle Based on S-function[J]. Journal of Anhui Vocational College of Metallurgy and Technology, 2008, 18(1): 19-21
Authors:LI Shao-ming  ZHAO Wei
Affiliation:LI Shao-ming ZHAO Wei
Abstract:Based on the Simulink of the RBF network PID controller, this text introduces the S function structure method of complicated control regulation, and built the RBF network PID controller simulation model that based on the MATLAB language, then gives the result of a model which applies to a nonlinear object . Consequently avoiding write a great quantities and complicated source procedure when complicated system simulates, this proposed approach which makes programming fast and briefly is easy for debugging and makes the system simulation workload reduced consumedly. In addition, it does not only make full use of the advantage of Simulink and extend the simulation function of Simulinks, but also have much simpler simulation models. What's more, it can greatly reduce the difficulty we will encounter when designing simulation program, especially for complex control systems .
Keywords:S- function  RBF network PID controller  Simulink simulation model
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