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基于IGA-PID高頻感應(yīng)加熱電源控制技術(shù)的研究

發(fā)布時(shí)間:2018-01-10 12:21

  本文關(guān)鍵詞:基于IGA-PID高頻感應(yīng)加熱電源控制技術(shù)的研究 出處:《重慶理工大學(xué)》2017年碩士論文 論文類型:學(xué)位論文


  更多相關(guān)文章: 高頻感應(yīng)加熱電源 PID 免疫遺傳算法 FPGA 虛擬儀器LABVIEW


【摘要】:我國的制造業(yè)正向著高端制造邁進(jìn),在這個(gè)過程中,感應(yīng)加熱技術(shù)發(fā)揮著重要作用。利用感應(yīng)加熱技術(shù)可以實(shí)現(xiàn)對工件整體加熱,也可以實(shí)現(xiàn)對工件進(jìn)行局部深層透熱,感應(yīng)加熱技術(shù)以其特有的高效性、節(jié)能性、環(huán)保性而被廣泛應(yīng)用。感應(yīng)加熱技術(shù)的實(shí)現(xiàn)主要依靠加熱電源,感應(yīng)加熱是一種非接觸式的加熱方式,這種加熱方式可以實(shí)現(xiàn)對不同形狀工件的加熱,不用因?yàn)楣ぜY(jié)構(gòu)的不同,去改變加熱設(shè)備。感應(yīng)加熱電源的輸出是影響感應(yīng)加熱效果的決定因素,所以本文的研究對象為感應(yīng)加熱電源。目前使用的感應(yīng)加熱電源大多是PID控制輸出,這種控制方式難以實(shí)現(xiàn)有高精度要求的加熱效果,因?yàn)樵趯?shí)際的工作環(huán)境中,高頻感應(yīng)加熱電源的負(fù)載參數(shù)是隨著加工環(huán)境的改變而變化,且是非線性變化,無法建立精確的數(shù)學(xué)模型,單純使用PID控制已經(jīng)不能滿足工業(yè)發(fā)展的需求。隨著智能時(shí)代的到來,各種智能控制算法層出不窮,研究人員將PID控制器與智能算法相結(jié)合,開發(fā)出控制效果更好的智能控制器。本文研究的免疫遺傳算法是基于生物免疫機(jī)制誕生的一種智能算法,這種智能算法可實(shí)現(xiàn)系統(tǒng)的自動調(diào)節(jié),文中將免疫遺傳算法與PID控制相結(jié)合,以改善傳統(tǒng)PID的控制效果。首先分析了生物的免疫系統(tǒng)機(jī)制,并對基于這種免疫機(jī)制而誕生的免疫遺傳算法進(jìn)行原理分析,為了改善普通PID的控制效果,重點(diǎn)研究了基于免疫遺傳算法對PID控制參數(shù)的整定方法,并在MATLAB中編程實(shí)現(xiàn)結(jié)合了免疫遺傳算法的PID控制器參數(shù)整定過程,由系統(tǒng)生成的階躍響應(yīng)圖、控制器變化圖和代價(jià)函數(shù)優(yōu)化圖可以看出,基于免疫遺傳算法的PID控制可以實(shí)現(xiàn)加熱電源的理想輸出;然后文章基于現(xiàn)場可編程門陣列介紹了這種新型智能控制器的整體架構(gòu),和內(nèi)部各模塊之間的聯(lián)系,并對重點(diǎn)模塊利用其軟件設(shè)計(jì)平臺進(jìn)行設(shè)計(jì);文章最后引入虛擬儀器技術(shù),并利用虛擬儀器技術(shù)LABVIEW設(shè)計(jì)平臺重新設(shè)計(jì)了高頻感應(yīng)加熱電源設(shè)備的操作界面,新設(shè)計(jì)的操作界面和監(jiān)控界面觀測更加直觀、更智能;文章還利用LABVIEW設(shè)計(jì)了水溫報(bào)警系統(tǒng)、濾波系統(tǒng)以及基于溫度采集卡的加熱溫度采集系統(tǒng),以提升感應(yīng)加熱電源控制的智能化。
[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.
【學(xué)位授予單位】:重慶理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM924.01;TP273

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