基于IGA-PID高频感应加热电源控制技术的研究
本文关键词:基于IGA-PID高频感应加热电源控制技术的研究 出处:《重庆理工大学》2017年硕士论文 论文类型:学位论文
更多相关文章: 高频感应加热电源 PID 免疫遗传算法 FPGA 虚拟仪器LABVIEW
【摘要】:我国的制造业正向着高端制造迈进,在这个过程中,感应加热技术发挥着重要作用。利用感应加热技术可以实现对工件整体加热,也可以实现对工件进行局部深层透热,感应加热技术以其特有的高效性、节能性、环保性而被广泛应用。感应加热技术的实现主要依靠加热电源,感应加热是一种非接触式的加热方式,这种加热方式可以实现对不同形状工件的加热,不用因为工件结构的不同,去改变加热设备。感应加热电源的输出是影响感应加热效果的决定因素,所以本文的研究对象为感应加热电源。目前使用的感应加热电源大多是PID控制输出,这种控制方式难以实现有高精度要求的加热效果,因为在实际的工作环境中,高频感应加热电源的负载参数是随着加工环境的改变而变化,且是非线性变化,无法建立精确的数学模型,单纯使用PID控制已经不能满足工业发展的需求。随着智能时代的到来,各种智能控制算法层出不穷,研究人员将PID控制器与智能算法相结合,开发出控制效果更好的智能控制器。本文研究的免疫遗传算法是基于生物免疫机制诞生的一种智能算法,这种智能算法可实现系统的自动调节,文中将免疫遗传算法与PID控制相结合,以改善传统PID的控制效果。首先分析了生物的免疫系统机制,并对基于这种免疫机制而诞生的免疫遗传算法进行原理分析,为了改善普通PID的控制效果,重点研究了基于免疫遗传算法对PID控制参数的整定方法,并在MATLAB中编程实现结合了免疫遗传算法的PID控制器参数整定过程,由系统生成的阶跃响应图、控制器变化图和代价函数优化图可以看出,基于免疫遗传算法的PID控制可以实现加热电源的理想输出;然后文章基于现场可编程门阵列介绍了这种新型智能控制器的整体架构,和内部各模块之间的联系,并对重点模块利用其软件设计平台进行设计;文章最后引入虚拟仪器技术,并利用虚拟仪器技术LABVIEW设计平台重新设计了高频感应加热电源设备的操作界面,新设计的操作界面和监控界面观测更加直观、更智能;文章还利用LABVIEW设计了水温报警系统、滤波系统以及基于温度采集卡的加热温度采集系统,以提升感应加热电源控制的智能化。
[Abstract]:China's manufacturing industry is moving towards high-end manufacturing, in this process, induction heating technology plays an important role, the use of induction heating technology can achieve the integral heating of the workpiece. Induction heating technology is widely used because of its high efficiency, energy saving and environmental protection. The realization of induction heating technology mainly depends on heating power. Induction heating is a kind of non-contact heating method which can realize the heating of workpieces with different shapes without the need for different workpiece structures. To change the heating equipment. The output of the induction heating power supply is the decisive factor affecting the induction heating effect. So the research object of this paper is induction heating power supply. At present, most of the induction heating power supply used is PID control output, this control method is difficult to achieve high precision heating effect. Because in the actual working environment, the load parameters of the high-frequency induction heating power supply change with the change of the machining environment, and it is nonlinear change, it is impossible to establish the accurate mathematical model. The use of PID control alone can not meet the needs of industrial development. With the arrival of the intelligent era, a variety of intelligent control algorithms emerge in endlessly. Researchers combine the PID controller with the intelligent algorithm. An intelligent controller with better control effect is developed. The immune genetic algorithm (IGA) studied in this paper is an intelligent algorithm based on biological immune mechanism. This intelligent algorithm can realize the automatic regulation of the system. In this paper, immune genetic algorithm (IGA) is combined with PID control to improve the control effect of traditional PID. Firstly, the mechanism of biological immune system is analyzed. And the immune genetic algorithm based on this immune mechanism is analyzed. In order to improve the control effect of ordinary PID, the tuning method of PID control parameters based on immune genetic algorithm is studied. The parameter tuning process of PID controller combined with immune genetic algorithm is realized by programming in MATLAB. The step response diagram, controller variation diagram and cost function optimization diagram generated by the system can be seen. The PID control based on immune genetic algorithm can realize the ideal output of heating power supply. Then, based on the field programmable gate array, this paper introduces the whole architecture of the new intelligent controller and the relationship between the internal modules and the key modules, and designs the key modules using its software design platform. Finally, the virtual instrument technology is introduced, and the operating interface of the high-frequency induction heating power supply equipment is redesigned by using the virtual instrument technology LABVIEW design platform. The newly designed operation interface and monitoring interface are more intuitive and intelligent. The paper also designs the water temperature alarm system, the filter system and the heating temperature acquisition system based on the temperature acquisition card using LABVIEW to enhance the intelligent control of the induction heating power supply.
【学位授予单位】:重庆理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM924.01;TP273
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