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  本文關(guān)鍵詞： PID控制 自適應(yīng)整定 臨界比例法　出處：《北京工業(yè)大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：聚羧酸減水劑的生產(chǎn)過程中最重要的環(huán)節(jié)就是定時定速滴加環(huán)節(jié),滴加環(huán)節(jié)常用PID算法進(jìn)行控制。PID算法結(jié)構(gòu)簡單且控制效果好,參數(shù)整定是PID算法控制最重要的操作,而目前的算法應(yīng)用都是采用人工的方式來設(shè)定PID算法的各個參數(shù),人工整定方法對于現(xiàn)場工程師有一定的經(jīng)驗要求,若沒有整定經(jīng)驗很難根據(jù)被控系統(tǒng)的響應(yīng)特征對PID算法進(jìn)行參數(shù)整定。首先,本研究分析了PID算法各個參數(shù)在控制過程中的作用,以及參數(shù)的大小對控制的穩(wěn)定性和快速性的影響,對傳統(tǒng)手工定參數(shù)的方法進(jìn)行了對比,如理論分析法、經(jīng)驗試調(diào)法、Z-N整定法、衰減曲線法和臨界比例度法,分析了各種方法的優(yōu)缺點及應(yīng)用場景之后,實現(xiàn)了基于聚羧酸減水劑滴加環(huán)節(jié)流量控制的PID參數(shù)自適應(yīng)整定,設(shè)計了一款自適應(yīng)PID算法參數(shù)整定器。整個算法對比階段和算法設(shè)計階段都使用Matlab對自適應(yīng)整定過程進(jìn)行模擬仿真,驗證其正確性和整定后參數(shù)的控制性能后,設(shè)計了整定器硬件電路。該自適應(yīng)整定器基于ARM Cortex-M3平臺,通過STM32處理器以及外圍接口電路實現(xiàn)對被控對象的信息獲取與控制,從而自動給出PID算法的參數(shù),在硬件設(shè)計階段著重考慮了工業(yè)現(xiàn)場噪聲干擾強(qiáng)度大的特點,對各個子模塊增加了隔離器。本文最終將自適應(yīng)整定器與計算機(jī)連接進(jìn)行實物模擬,實現(xiàn)對被控對象的PID算法自適應(yīng)整定的測試,并將人工整定結(jié)果與整定器整定結(jié)果從快速性和穩(wěn)定性方面進(jìn)行對比,驗證自適應(yīng)PID整定算法的可行性。該設(shè)計將自適應(yīng)算法整合在硬件整定器中,方便用戶使用,也將大大降低PID算法使用的復(fù)雜度,去除了目前參數(shù)整定對精確系統(tǒng)模型或者人工經(jīng)驗的依賴性。
[Abstract]:In the production of polycarboxylic acid superplasticizer, the most important link is timing and constant speed dropping. PID algorithm is usually used to control. Pid algorithm has simple structure and good control effect. Parameter tuning is the most important operation of PID algorithm control. At present, all the algorithms are used to set the parameters of the PID algorithm in a manual way. The manual setting method has some experience for the engineers in the field. It is difficult to adjust the parameters of PID algorithm according to the response characteristics of the controlled system without tuning experience. Firstly, the function of each parameter of PID algorithm in the control process is analyzed. As well as the influence of parameter size on the stability and rapidity of control, the traditional manual parameter determination methods are compared, such as theoretical analysis, empirical trial adjustment method, Z-N tuning method, attenuation curve method and critical proportion method. After analyzing the merits and demerits of various methods and their application scenarios, the PID parameter adaptive tuning based on the flow control of the dripping link of polycarboxylic acid reducer is realized. An adaptive PID algorithm parameter regulator is designed. Matlab is used to simulate the adaptive tuning process in the whole algorithm contrast stage and the algorithm design stage. The correctness of the algorithm and the control performance of the tuning parameters are verified. The hardware circuit of the tuner is designed, which is based on the ARM Cortex-M3 platform and realizes the information acquisition and control of the controlled object through the STM32 processor and the peripheral interface circuit. The parameters of the PID algorithm are given automatically. In the stage of hardware design, the characteristics of large noise interference intensity in industrial field are emphatically considered, and isolators are added to each sub-module. Finally, the adaptive regulator is connected to the computer for physical simulation. The test of adaptive tuning of the PID algorithm of the controlled object is realized, and the results of manual tuning and tuning of the controller are compared in terms of speed and stability. To verify the feasibility of the adaptive PID tuning algorithm, this design integrates the adaptive algorithm into the hardware regulator, which is easy for users to use, and will greatly reduce the complexity of the PID algorithm. The dependence of current parameter tuning on precise system model or artificial experience is removed.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TU528.042.2;TP273

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 曾豪勇;周思柱;易文君;;基于MATLAB的增量式PID參數(shù)整定[J];工業(yè)控制計算機(jī);2014年06期

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本文編號：1509993