本文選題：步進梁加熱爐 + 爐溫控制算法�。� 參考：《合肥工業(yè)大學》2016年碩士論文

【摘要】：步進梁式加熱爐是鋼鐵加工冶煉最重要的設備,其溫度控制算法的優(yōu)劣直接影響鋼鐵冶煉的質(zhì)量、效率等生產(chǎn)指標。常用的爐溫控制算法都是基于單一的PID算法,PID參數(shù)難以確定,必須經(jīng)過大量的實驗驗證。隨著自適應控制的發(fā)展,加熱爐控制技術有了一定的提高,但是自適應控制算法依然沒有擺脫系統(tǒng)對模型的依賴�；跀�(shù)據(jù)驅(qū)動的控制系統(tǒng)只依賴IO數(shù)據(jù),當系統(tǒng)穩(wěn)定時,還需要對IO數(shù)據(jù)進行處理,對基于數(shù)據(jù)驅(qū)動算法的工控系統(tǒng)造成一定的影響,應用難度也較大。文章結(jié)合數(shù)據(jù)驅(qū)動控制和常規(guī)PID算法的優(yōu)點,提出基于數(shù)據(jù)驅(qū)動控制的PID自整定算法,證明了該算法的收斂性,然后通過MATLAB軟件仿真驗證了收斂性、抗干擾性和相對常規(guī)PID算法的優(yōu)越性。并從SISO系統(tǒng)推廣到MIMO系統(tǒng),解決了常規(guī)PID算法只能應用單維的局限。針對以太網(wǎng)通訊數(shù)據(jù)丟包的問題,證明在數(shù)據(jù)丟包時,基于數(shù)據(jù)驅(qū)動的自整定PID控制系統(tǒng)依然是穩(wěn)定的,但其快速性和數(shù)據(jù)丟失的程度成反比。為此根據(jù)控制算法的特點提出一種基于數(shù)據(jù)驅(qū)動的自整定PID補償算法,應用此補償算法,控制系統(tǒng)可以實現(xiàn)很好的控制性能。本文以步進梁加熱爐爐溫為控制對象,設計了加熱爐的工業(yè)控制系統(tǒng),采用爐溫-串級為主控制器,基于數(shù)據(jù)驅(qū)動的PID自整定算法為核心技術的控制算法。其中儀表PLC負責對爐溫進行采集、模數(shù)轉(zhuǎn)換,將數(shù)據(jù)通過以太網(wǎng)傳送到工控機中；工控機負責大量數(shù)據(jù)處理和運算,得到實時的PID控制參數(shù),將PID參數(shù)通過以太網(wǎng)傳送給PLC,根據(jù)PID參數(shù)來調(diào)節(jié)閥門的開度,可以實現(xiàn)對爐溫的控制。
[Abstract]:Stepping beam heating furnace is the most important equipment for iron and steel processing and smelting. Its temperature control algorithm directly affects the quality and efficiency of iron and steel smelting.The commonly used furnace temperature control algorithms are based on a single PID algorithm and pid parameters are difficult to determine, which must be verified by a large number of experiments.With the development of adaptive control, the heating furnace control technology has been improved, but the adaptive control algorithm is still not rid of the system model dependence.The data-driven control system only relies on IO data. When the system is stable, the IO data still need to be processed, which has a certain impact on the industrial control system based on data-driven algorithm, and it is also difficult to apply.Combining the advantages of data-driven control and conventional PID algorithm, a data-driven control based PID self-tuning algorithm is proposed in this paper. The convergence of the algorithm is proved, and the convergence is verified by MATLAB software simulation.Anti-jamming and superiority over conventional PID algorithm.It is extended from SISO system to MIMO system, which solves the limitation that conventional PID algorithm can only apply single dimension.Aiming at the problem of data packet loss in Ethernet communication, it is proved that the data-driven self-tuning PID control system is still stable, but its rapidity is inversely proportional to the degree of data loss.According to the characteristics of the control algorithm, a data-driven self-tuning PID compensation algorithm is proposed. Using this compensation algorithm, the control system can achieve good control performance.In this paper, the furnace temperature of walking beam heating furnace is taken as the control object, and the industrial control system of the furnace is designed. The control algorithm is based on the data-driven PID self-tuning algorithm and the furnace temperature cascade is used as the main controller.The instrument PLC is responsible for collecting the furnace temperature, converting analog to digital, transmitting the data to the industrial control computer via Ethernet, the industrial computer is responsible for a large number of data processing and operation, and obtains real-time PID control parameters.The PID parameters are transmitted to the PLC via Ethernet, and the opening of the valve can be adjusted according to the PID parameters, which can realize the control of the furnace temperature.
【學位授予單位】：合肥工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TG307;TP273

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