基于神经网络实现带式输送机的功率平衡控制  

Power Balance Control of Belt Conveyor is Realized Based on Neural Network

作　　者：焦楚青 JIAO Chuqing(Shanxi Coking Coal Group Co.,Ltd.,Taiyuan,Shanxi 030024,China)

机构地区：[1]山西焦煤集团有限责任公司,山西太原030024

出　　处：《自动化应用》2023年第16期98-101,共4页Automation Application

摘　　要：为解决传统PID控制器的主从控制系统对多电机驱动带式输送机的功率平衡控制精度不足、响应速度慢以及启动冲击大的问题,在对传统多电机功率平衡控制原理分析的基础上,本文基于MATLAB建立仿真模型对传统多电机功率平衡控制器的控制效果进行仿真分析;基于模糊控制器和神经网络算法结合设计了模糊神经网络控制器,并对其控制效果进行仿真分析。结果表明,相比于传统功率平衡控制器,该控制器具有更高的控制精度、更快的响应速度以及对系统更小的冲击等特点。In order to solve the problems of insufficient precision,slow response speed and big starting impact of the power balance control of the belt conveyor driven by multiple motors by the master-slave control system of the traditional PID controller,based on the analysis of the traditional multi-motor power balance control principle,a simulation model was established based on MATLAB to simulate the control effect of the traditional multi-motor power balance controller.The fuzzy neural network controller is designed based on the combination of fuzzy controller and neural network algorithm,and its control effect is simulated and analyzed.It is concluded that the controller has higher control precision,faster response speed and less impact on the system than the traditional power balance controller.

关 键 词：模糊神经网络控制器 多电机带式输送机 PID控制器 功率平衡 系统冲击 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]