電氣外文翻譯-基于智能pid調(diào)節(jié)的連續(xù)燒結(jié)爐溫度控-其他專業(yè)-資料下載頁
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【導(dǎo)讀】1．外文文獻(xiàn)翻譯的內(nèi)容應(yīng)與畢業(yè)設(shè)計/論文課題相關(guān)。業(yè)學(xué)生應(yīng)完成不少于2021漢字的二外文獻(xiàn)翻譯任務(wù)。中）并注明出處。本附件為封面，封面上不得出現(xiàn)頁碼。生不得選用相同的外文原文。和對溫度場控制的固態(tài)繼電器組成。根據(jù)燒結(jié)爐加熱過程中的溫度慣性、時滯的特點,采用。智能PID算法來實現(xiàn)大范圍溫度調(diào)節(jié),克服了傳統(tǒng)PID控制的局限。指令單元,該系統(tǒng)可以達(dá)到2‰的溫度控制精度目標(biāo)。脫脂爐和燒結(jié)爐由兩臺爐子門分隔。其主要部分被分為加熱、燒結(jié)、連續(xù)燒結(jié)爐的燒結(jié)質(zhì)量取決于溫度的均勻性和燒結(jié)過程的穩(wěn)定性,也受到外部因素的影響,如爐門開關(guān)、燃?xì)饬髁?。在邏輯控制系統(tǒng)中,PID控制是最成熟，應(yīng)用最廣泛的技術(shù)[3-4]。例如,單向自然的加熱歸于燒結(jié)爐使用燈絲電阻、冷卻依賴的是自然環(huán)境，如果溫度很高，它是很困難迅速冷卻。數(shù)，rw是微分控制系數(shù)。加快系統(tǒng)響應(yīng)，但是它對干擾敏感和降低系統(tǒng)抗干擾的能力。RS232/RS485轉(zhuǎn)換器ZW485C以使RS232信號變?yōu)镽S485信號。
【正文】 s EMS memory address. If it reads the ratio factor P, it changes the second address to EMS memory address 1004H is OK. The reading and writing parameters’ data format is similar. And it needs to change the functional code to the writing parameters’ functional code 10H. Three basic parameters of PID are interaction and mutual constraints and are restricted by the physical environmental factors. So it should decide the eclectic choice between the material circs and control requires. Some instance in actual use can be adjusted as follows: (1) The temperature reaches target very quickly, but the temperature overshoot is great: consider reducing proportions coefficients or increasing differential coefficient time. (2) The temperature often fails to the target and the time is great: consider increasing the proportions coefficients or integral time. (3) It can fluctuate at the basic control goals, but deviation is oversize, and it is often volatile: consider increasing differential coefficient or reducing integral time, and the work cycle may be set shorter. (4) It is affected greatly by the surrounding environment or the weather changes. Little change will cause some changes in the temperature fluctuations: consider increase differential coefficient or shorten the cycle time. 5. Conclusions With the development of intelligent control theory, PID control technology is more and more mature. The intelligent PID algorithm is nonlinear, which can be used to conquer the limitation of the traditional PID. The rule 1 and rule 2 can make the system fast and stability, and the rule 3 makes the PID adaptive capability with the variable parameters. It realizes the parameters of PID setting online through programming, and increases system control accuracy. With intelligent PID control, the 7 result of PID control can be directly affected by the set of P, I, D etc, and such several parameters have close relation with the control system itself. So it is difficult to give a fixed value which adapts to any system. Therefore, the use of the intelligent PID algorithm, according to the actual situation, must debug at the scene and find a group of control parameters suitable to the system itself. 6. Acknowledgement This paper is supported by Young Scientist Encouragement Foundation of Shandong Province(Project ), Shandong Provincial Natural Science Foundation (Project ),and Key Subject(Laboratory) Research Foundation of Shandong Province. 7. References [1] Mercedes Ramirez, Rodolfo Haber, Victor Penab, and Ivan Rodriguez, “Fuzzy control of a multiple hearth furnace”, Computers in Industry, 2021, No. 54, pp. 105113. [2] Perttu Laurinen, Juha Roning, “An adaptive neural work model for predicting the post roughing mill temperature of steel slabs in the reheating furnace”, Journal of Materials Processing Technology, 2021, No. 168, –430. [3] Elena Grassi, Kostas Tsakalis, “PID controller tuning by frequency loopshaping: Application to diffusion furnace temperature control”, IEEE Transactions on Control Systems Technology, 2021, Vol. 8, No. 5, pp. 42847. [4] Naiwei Tu, Hua Fu, and Xin Yan, “Parameter selftuning fuzzy PID controller’s application in temperature control system”, control amp。 automation, 2021, Vol. 20, , pp. 820 (in Chinese). [5] Jianfeng Cai, “Application of Intelligent instrument in control system of heating furnace”, Industrial Heating, 2021, No. 5, pp. 3134 (in Chinese). [6] Haizhou Wang, “Application of YS170 intelligent controller in the temperature control”, Journal of Jiangxi Electrical University For Staff, 2021, Vol. 16, No. 3, . 8 9
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