| BP神经网络在主汽温控制系统中的应用 |
| |
| 引用本文： | 陈军统.BP神经网络在主汽温控制系统中的应用[J].科教文汇,2012(9):97-99. |
| |
| 作者姓名： | 陈军统 |
| |
| 作者单位： | 浙江科技学院,浙江杭州I310023 |
| |
| 摘 要： | 电厂主汽温被控对象是一个大惯性、大迟延、非线性且对象变化的系统,基于BP神经网络的PID控制,利用神经网络的自学习、非线性和不依赖模型等特性实现PID参数的在线自整定,充分利用PID和神经网络的优点。用一个多层前向神经网络,采用反向传播算法,依据控制要求实时输出Kp、Ki、Kd,依次作为PID控制器的实时参数,代替传统PID参数靠经验的人工整定和工程整定,以达到对大迟延主汽温系统的良好控制。对这样一个系统在MATLAB平台上进行仿真研究,仿真结果表明基于BP神经网络的自整定PID控制具有良好的自适应能力和自学习能力,对大迟延和变对象的系统可取得良好的控制效果。
|
| 关 键 词： | 主汽温 PID BP神经网络 MATLAB仿真 |
On the Application of BP Neural Network to the Main Stream Temperature Control System |
| |
| Authors: | Chen Juntong |
| |
| Institution: | Chen Juntong Zhejiang University of Science and Techn- ology,310023,Hangzhou,Zhejiang, China |
| |
| Abstract: | The system of power plant main steam temperature is a large inertia,big time-delayed and nonlinear dynamic system. PID control based BP neural network.Using such characteristics of neural network self-learning, nonlinear and don＇t rely on too- del realize PID parameters auto-tuning.It can make full use of the advantages of PID and neural network.Here,we use a muh- ilayer feed forward neural network using back propagation alg- orithm. This net can real-time output Kp, Ki, Kd as the PID controller parameters, instead of the traditional PID parameters determined by experience,so it can obtain good control perfor- mance.For such a system,we can simulate in MATLAB simula- tion platform.The simulation results show that the PID control based BP neural network has good adaptive ability and self- learning ability.For the system of large delay and free-model can obtain good control effect. |
| |
| Keywords: | main stream temperature PID BP neural network MATLAB simulation |
| 本文献已被 维普 等数据库收录！ |
|
