| 基于模糊神经网络的中频感应加热电源的研究 |
| |
| 引用本文： | 吴延华,娄丽丽,索红亮. 基于模糊神经网络的中频感应加热电源的研究[J]. 机械制造与自动化, 2011, 0(3): 110-112 |
| |
| 作者姓名： | 吴延华 娄丽丽 索红亮 |
| |
| 作者单位： | 黑龙江科技学院电气与信息工程学院,黑龙江哈尔滨,150027 |
| |
| 摘 要： | 通过对原有感应加热电源温度控制方法的分析,提出了一种适合于非线性系统基于模糊神经网络的温度控制方法。与传统的控制策略相比,模糊神经网络控制具有不依赖控制对象精确的数学模型,较强的鲁棒性,控制方式简便等优点。实验证明:该加热方法优于常规PID和模糊PID,可获得良好的动态特性,具有稳态精度高,功率调节范围宽,工作稳定可靠的优点。
|
| 关 键 词： | 感应加热 模糊神经网络 DSP 温度控制 |
Fuzzy Neural Network Based on Medium Frequency Induction Heating Power Supply |
| |
| WU Yan-hua,LOU Li-li,SUO Hong-liang. Fuzzy Neural Network Based on Medium Frequency Induction Heating Power Supply[J]. Machine Building & Automation, 2011, 0(3): 110-112 |
| |
| Authors: | WU Yan-hua LOU Li-li SUO Hong-liang |
| |
| Affiliation: | WU Yan-hua,LOU Li-li,SUO Hong-liang(College of Electrical and Information Engineering Heilongjiang Institute of Science and Technology,Harbin 150027,China) |
| |
| Abstract: | Based on temperature control method analysis of the original induction heating power supply,this paper puts forward a temperature control method suitable for nonlinear system and based on fuzzy neural network.Compared with the traditional control strategy,the fuzzy neural network control has the advantages of not relying on control precise mathematical model of control object,strong robustness and easy control.The experiment shows that the heating method is superior to the conventional PID and fuzzy PID,it ... |
| |
| Keywords: | induction heating fuzzy neural network DSP temperature control |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
