摘要无刷直流电动机是将传感器技术、电力电子技术与传统电机技术相结 合,其内部结构采用的是电子换向器。由于其效率高,寿命长,噪声低,可 以避免因机械换向器引起的电刷磨损、频繁维修、电磁干扰等优点,因此 被广泛应用在国防、办公自动化及工业控制中。随着无刷直流电动机理论 分析和设计的日趋成熟,针对其控制方法的研究引起了各国专家学者的重 视。
传统的 PID 控制系统在简单的线性单变量系统中能够达成控制目标, 对于复杂系统的控制难以达到理想的效果。本文 主要针对传统 PID 控制中 存在的问题,将其 与 RBF 神经网络结合 ,设计 了基于 RBF 神经网络的 PID 控制器,并采用 MATLAB 软件对其进行仿真研究。72708
本论文研究表明,结合 了 RBF 神经网络技术的 PID 控制器与传统 PID 控制器相比有着更高的优越性,能够更好的满足复杂非线性系统的控制要 求。
该论文有图 14 幅, 参考文献 32 篇。
毕业论文关键词 : 无刷直流电机 PID 控制 RBF 神经网络 传感器技术 电力电子技术
Brushless DC Motor Based on RBF Neural Network Control Research
Abstract Brushless DC motor is a sensor technology, power electronics technology and conventional motor technology, its internal structure is used in electronic commutator。Due to its high efficiency, long life, low noise, the advantages can be avoided due to mechanical commutator brush wear caused by frequent maintenance, electromagnetic interference, it is widely used in national defense, office automation and industrial control。With the theoretical analysis and design of the brushless DC motor is becoming more and more mature, the research on the control method of the brushless DC motor has attracted the attention of experts and scholars in various countries。
The traditional PID control system in a simple univariate linear control system able to reach the target for the control of complex systems is difficult to achieve the desired results。 In this paper, the traditional PID control problems, and its combination with the RBF neural network, the design of RBF neural network based on the PID controller, and the use of MATLAB software for simulation。
The research of this paper shows that the PID controller combined with RBF neural network technology can better meet the control requirements of complex nonlinear system, and has a high superiority compared with the traditional PID controller。
This paper has 14 figures and 32 references。
Keywords:Brushless DC motor PID control RBF neural network sensor technology power electronic technology
目 录
摘 要 I
Abstract II
目 录 III
图清单 V
1。绪论 1
1。1 无刷直流电机的发展概况 1
1。2 人工神经网络的发展概况 1
1。3 无刷直流电机控制的研究现状 2
1。4 本文主要内容 3
2。无刷直流电机的结构和原理 4
2。1 无刷直流电机的基本结构 4
2。2 无刷直流电动机的运行原理 基于RBF神经网络的无刷直流电机的控制研究:http://www.youerw.com/zidonghua/lunwen_82764.html