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  本文選題：生物質(zhì)熱解 + PID控制��； 參考：《天津科技大學(xué)》2017年碩士論文

【摘要】：生物質(zhì)的再利用在一定程度上可以解決環(huán)境問題,生物質(zhì)主要是指一些農(nóng)林廢棄物及城市垃圾等。對這些生物質(zhì)的回收再利用,不僅解決了其二次污染環(huán)境的問題,還可以“變廢為寶”獲得生活中所需的生活用品和生物燃料等。本課題研究的生物質(zhì)熱解技術(shù)裝置控制系統(tǒng)的主要內(nèi)容是系統(tǒng)辨識、系統(tǒng)算法仿真、系統(tǒng)驗證三個部分。系統(tǒng)辨識是實現(xiàn)整個控制系統(tǒng)的基礎(chǔ),有了系統(tǒng)辨識出的系統(tǒng)模型,才能進行系統(tǒng)仿真。系統(tǒng)仿真主要是對控制算法和系統(tǒng)進行模擬與分析,控制算法是整個控制系統(tǒng)的核心,控制算法的優(yōu)良決定了整個控制系統(tǒng)的控制質(zhì)量的高低。系統(tǒng)驗證是將實際控制過程并與仿真過程進行對比分析。本課題所研究的熱解裝置控制系統(tǒng)的控制算法主要采用了自適應(yīng)模糊PID控制算法,該算法結(jié)合了模糊控制算法與PID控制算法,不僅結(jié)合了兩者的優(yōu)勢,同時又避免了各自的劣勢。本設(shè)計采用了 MATLAB進行系統(tǒng)辨識建模,并利用SIMULINK對傳統(tǒng)PID算法,自適應(yīng)模糊PID算法,基于遺傳算法的PID控制算法以及滑模變結(jié)構(gòu)的算法分別進行了仿真研究,分析了各自的優(yōu)點與缺點。此外,還完成了整個系統(tǒng)硬件設(shè)計與軟件設(shè)計。本設(shè)計的硬件系統(tǒng)主要包括:可觸控平板計算機、PLC可編程邏輯控制器、模擬量輸入模塊、溫度傳感器、壓力傳感器、高溫加熱爐等。其軟件系統(tǒng)主要完成了現(xiàn)場的溫度采集與控制,讀取系統(tǒng)的I/O變量狀態(tài),按已設(shè)定好的邏輯流程動行。本設(shè)計完成了上位機監(jiān)控系統(tǒng)的設(shè)計與開發(fā),具有參數(shù)設(shè)置,溫度壓力監(jiān)控,繪制溫度實時曲線,查詢歷史曲線,報警等功能。此外,還對整個系統(tǒng)進行了實驗驗證。實驗結(jié)果顯示,自適應(yīng)模糊控制算法實現(xiàn)了良好的溫度控制,整個系統(tǒng)工作良好。
[Abstract]:The reuse of biomass can solve the environmental problems to some extent. Biomass mainly refers to some agricultural and forestry wastes and municipal garbage. The recovery and reuse of these biomass can not only solve the problem of secondary environmental pollution, but also "turn waste into treasure" to obtain daily necessities and biofuels. The main contents of the control system of biomass pyrolysis device are system identification, system algorithm simulation and system verification. System identification is the basis of realizing the whole control system. The system simulation can be carried out only with the system model identified by the system. The system simulation is mainly to simulate and analyze the control algorithm and system. The control algorithm is the core of the whole control system. The fine control algorithm determines the control quality of the whole control system. System verification is to compare the actual control process with the simulation process. The control algorithm of the pyrolytic device control system studied in this paper mainly adopts the adaptive fuzzy PID control algorithm. The algorithm combines the fuzzy control algorithm and the PID control algorithm, which not only combines the advantages of the two algorithms. At the same time, it avoids their respective disadvantages. In this design, MATLAB is used to model the system identification, and the traditional PID algorithm, adaptive fuzzy PID algorithm, PID control algorithm based on genetic algorithm and sliding mode variable structure algorithm are simulated by SIMULINK. Their advantages and disadvantages are analyzed. In addition, the hardware and software design of the whole system is completed. The hardware system includes PLC programmable logic controller, analog input module, temperature sensor, pressure sensor, high temperature heating furnace and so on. The software system mainly completes the field temperature collection and control, reads the I / O variable state of the system, and moves according to the set logic flow. This design has completed the design and development of the upper computer monitoring system, which has the functions of parameter setting, temperature and pressure monitoring, drawing temperature real-time curve, querying historical curve, alarming and so on. In addition, the whole system is verified by experiments. Experimental results show that the adaptive fuzzy control algorithm achieves good temperature control and the whole system works well.
【學(xué)位授予單位】：天津科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP273;TK6

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本文編號：1861340