本文選題：PLC　切入點(diǎn)：模糊控制　出處：《西安理工大學(xué)》2017年碩士論文

【摘要】：PLC作為目前自動(dòng)化領(lǐng)域的主流控制器具有強(qiáng)大的技術(shù)優(yōu)勢,隨著工業(yè)的不斷發(fā)展,控制對(duì)象越來越復(fù)雜,常規(guī)PID控制往往由于參數(shù)整定不良而使控制系統(tǒng)的性能欠佳;將智能控制與常規(guī)PID控制相結(jié)合所形成的智能PID控制器,顯示出強(qiáng)大的優(yōu)勢;同時(shí),將智能PID控制算法嵌入PLC中也成為當(dāng)今研究的熱點(diǎn)。本文主要工作如下:(1)分析三容水箱液位控制系統(tǒng)實(shí)驗(yàn)裝置的結(jié)構(gòu)、工藝流程以及CompactLogix系列PLC的硬件與軟件系統(tǒng);結(jié)合串級(jí)PID控制的基本結(jié)構(gòu)和特點(diǎn),在CompactLogix上設(shè)計(jì)并實(shí)現(xiàn)了液位串級(jí)PID控制。(2)研究模糊控制系統(tǒng)的組成和模糊控制器的設(shè)計(jì)原理,結(jié)合常規(guī)PID控制算法,設(shè)計(jì)了模糊自適應(yīng)PID控制器;借助MATLAB軟件中模糊邏輯工具箱提供的圖形界面(GUI)工具,建立離線控制表,并將生成的控制表存儲(chǔ)在PLC的標(biāo)簽中;然后通過RSLogix5000編程軟件實(shí)現(xiàn)輸入量模糊化,根據(jù)得到的模糊量進(jìn)行在線查表運(yùn)算,最終實(shí)現(xiàn)PID參數(shù)的自適應(yīng)調(diào)整;隨后對(duì)模糊自適應(yīng)PID算法進(jìn)行改進(jìn),使得誤差和誤差變化的加權(quán)系數(shù)均可調(diào),以適應(yīng)不同控制過程的控制要求。(3)研究神經(jīng)網(wǎng)絡(luò)控制系統(tǒng)的結(jié)構(gòu)和原理,利用RBF網(wǎng)絡(luò)對(duì)被控對(duì)象進(jìn)行在線辨識(shí),BP網(wǎng)絡(luò)根據(jù)系統(tǒng)運(yùn)行狀態(tài)及RBF網(wǎng)絡(luò)提供的信息,通過自身權(quán)系數(shù)的調(diào)整,實(shí)現(xiàn)PID參數(shù)的在線自適應(yīng)調(diào)整;針對(duì)BP網(wǎng)絡(luò)存在收斂速度慢的問題,本文在算法中引入動(dòng)量項(xiàng)進(jìn)行改進(jìn);根據(jù)RSLogix5000編程軟件的特點(diǎn),在CompactLogix系列PLC上設(shè)計(jì)并實(shí)現(xiàn)了神經(jīng)網(wǎng)絡(luò)自適應(yīng)PID控制算法。(4)設(shè)計(jì)了基于Factory Talk View Studio的三容水箱液位監(jiān)控界面,具有顯示系統(tǒng)當(dāng)前運(yùn)行狀況和歷史數(shù)據(jù),并提供用于控制的操作界面;利用三容水箱液位監(jiān)控界面對(duì)實(shí)驗(yàn)裝置進(jìn)行試驗(yàn),驗(yàn)證了智能PID控制較常規(guī)PID控制具有更好魯棒性和更好的動(dòng)靜態(tài)性能。
[Abstract]:As the mainstream controller in the automation field, PLC has strong technical advantages. With the development of industry, the control object is becoming more and more complex. The performance of the control system is often poor because of poor parameter setting in conventional PID control. The intelligent PID controller, which combines intelligent control with conventional PID control, shows powerful advantages, at the same time, Embedding intelligent PID control algorithm into PLC has become a hot research topic. The main work of this paper is as follows: 1) analyzing the structure, process flow and hardware and software system of CompactLogix series PLC. Combined with the basic structure and characteristics of cascade PID control, the composition of fuzzy control system and the design principle of fuzzy controller are studied on CompactLogix. (2) the composition of fuzzy control system and the design principle of fuzzy controller are studied. Combined with the conventional PID control algorithm, the structure of fuzzy control system and the design principle of fuzzy controller are studied. The fuzzy adaptive PID controller is designed, and the off-line control table is established with the help of the graphical interface tool provided by the fuzzy logic toolbox in MATLAB software, and the generated control table is stored in the label of PLC. Then the fuzzy input is fuzzied by RSLogix5000 programming software, and the fuzzy quantity is looked up on line. Finally, the adaptive adjustment of PID parameters is realized, and then the fuzzy adaptive PID algorithm is improved, and the fuzzy adaptive PID algorithm is improved. So that the error and the weighting coefficient of error change can be adjusted to meet the control requirements of different control processes.) the structure and principle of neural network control system are studied. The RBF network is used to identify the controlled objects on line. According to the system running state and the information provided by RBF network, the on-line adaptive adjustment of PID parameters is realized by adjusting the weight coefficient of the network. Aiming at the problem of slow convergence of BP neural network, the momentum term is introduced into the algorithm to improve the algorithm, and according to the characteristics of RSLogix5000 programming software, This paper designs and implements a neural network adaptive PID control algorithm on CompactLogix series PLC. It designs a three-tank liquid level monitoring interface based on Factory Talk View Studio, which can display the current running status and historical data of the system, and provide an operating interface for the control. The experimental device is tested by using the liquid level monitoring interface of the three-tank. It is proved that the intelligent PID control has better robustness and better dynamic and static performance than the conventional PID control.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP273

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