一种基于物联网技术的通风离心机控制平台设计

发布时间：2018-05-15 16:48

本文选题：通风离心机 + 控制　；参考：《微电子学与计算机》2016年11期

【摘要】：在物联网和嵌入式Linux内核环境下进行通风离心机的控制平台优化设计,提高通风机的集成控制性能,针对当前的控制平台对扰动干扰的抑制能力不好的问题,提出一种基于模糊自组织神经网络的多模控制算法.根据鲁棒性PID控制约束参量优化求解进行控制律设计,在嵌入式程序加载模块进行控制算法加载进行平台设计,根据通风离心机多模控制系统的总体设计和技术指标分析,在物联网环境下构建嵌入式Linux内核进行通风离心机多模控制系统的硬件设计和软件开发,实现控制平台端口信息采集、控制系统可视化远程操作等功能.最后进行系统调试和测试,实验结果表明,采用该控制系统进行通风离心机控制的鲁棒性较强,控制误差较低,具有优越性能.
[Abstract]:In the environment of Internet of things and embedded Linux kernel, the optimal design of the control platform of ventilation centrifuge is carried out to improve the integrated control performance of ventilator, aiming at the problem that the current control platform has poor ability to suppress disturbance interference. A multi-mode control algorithm based on fuzzy self-organizing neural network is proposed. The control law is designed according to the optimal solution of robust PID control constraint parameter, the control algorithm is loaded in the embedded program loading module and the platform is designed. According to the overall design and technical index analysis of the multi-model control system of the ventilating centrifuge, the control law is designed. In the environment of Internet of things, the embedded Linux kernel is constructed to design the hardware and software of the multi-mode control system of the ventilating centrifuge, which realizes the functions of port information collection of the control platform and visual remote operation of the control system. Finally, the system is debugged and tested. The experimental results show that the proposed control system has strong robustness, low control error and superior performance.
【作者单位】：武昌工学院信息工程学院;
【基金】：武昌工学院“绿色机制造湖北省协同创新中心”项目(2013XTJY02) 湖北省高等学校省级教学研究项目(2014419)
【分类号】：TH432;TP273

【相似文献】