本文選題：粗煤泥分選 + 無模型自適應(yīng)控制��； 參考：《中國礦業(yè)大學(xué)》2017年碩士論文

【摘要】：干擾床分選機(jī)(TBS)是利用沉降原理實(shí)現(xiàn)粗煤泥分選的一種新型設(shè)備,因其結(jié)構(gòu)簡單、控制精確及分選效果優(yōu)良等特點(diǎn)被廣泛應(yīng)用于粗煤泥分選。TBS干擾床層密度的變化直接影響TBS的分選效果和精煤產(chǎn)品的質(zhì)量。因此,對TBS干擾床層密度的控制尤為重要。TBS粗煤泥分選系統(tǒng)是一個高度非線性、時變、大滯后、強(qiáng)耦合的不確定系統(tǒng),難以建立被控對象的精確數(shù)學(xué)模型,而傳統(tǒng)的控制方法在復(fù)雜系統(tǒng)的控制速度和控制精度方面也漸顯不足。本文研究了無模型自適應(yīng)控制,在此基礎(chǔ)上提出一種基于粒子群優(yōu)化算法的改進(jìn)無模型自適應(yīng)控制方法,并將其應(yīng)用于TBS粗煤泥分選系統(tǒng)。論文介紹了TBS分選工藝,分析了TBS分選過程的主要影響因素。給出了以西門子S7-200系列PLC為控制核心的系統(tǒng)整體控制方案。在方案設(shè)計中,基于MFAC算法的理論基礎(chǔ),對系統(tǒng)的MFAC控制器模塊進(jìn)行開發(fā)設(shè)計,并從跟蹤性能、適應(yīng)能力和抗干擾能力等方面與傳統(tǒng)的PID和模糊PID控制方法進(jìn)行了仿真對比。針對標(biāo)準(zhǔn)MFAC存在的大滯后問題,設(shè)計了抗滯后的MFAC(ADMFAC)控制器,并通過與MFAC的仿真對比,驗證了ADMFAC在控制性能上的提升。步長序列k?和權(quán)重因子?是MFAC的兩個主要可調(diào)參數(shù),為了進(jìn)一步完善ADMFAC的控制性能,本文采用粒子群優(yōu)化算法(PSO)對ADMFAC的參數(shù)進(jìn)行尋優(yōu)整定,得到步長序列k?和權(quán)重因子?的最優(yōu)組合值,從而設(shè)計出基于粒子群優(yōu)化算法的抗滯后無模型自適應(yīng)控制器(PSO-ADMFAC)�；谟布A(chǔ),依據(jù)控制策略,搭建TBS粗煤泥分選系統(tǒng)的仿真實(shí)驗平臺。利用STEP7 Micro WIN實(shí)現(xiàn)PLC的硬件組態(tài)和相關(guān)程序編寫;在MATLAB中完成控制算法的程序編寫;基于Kingview設(shè)計上位機(jī)監(jiān)控界面;采用DOPSoft設(shè)計觸摸屏HMI界面,作為就地監(jiān)測站;通過OPC技術(shù)有效地將組態(tài)軟件與控制算法進(jìn)行集成,實(shí)現(xiàn)了上位機(jī)組態(tài)軟件與MATLAB之間的數(shù)據(jù)交換。本文對TBS粗煤泥分選系統(tǒng)的控制方法進(jìn)行設(shè)計和改進(jìn),在提高產(chǎn)品質(zhì)量,減少資源浪費(fèi),保護(hù)環(huán)境等方面具有一定的理論意義和應(yīng)用價值。
[Abstract]:Interference bed separator (TBS) is a new type of equipment for separating coarse coal slime by means of settlement principle, because of its simple structure. The characteristics of precise control and good separation effect are widely used in coarse coal slime separation. TBS-interference bed density directly affects the separation effect of TBS and the quality of clean coal products. Therefore, it is particularly important to control the density of TBS interference bed. The coarse coal slime sorting system is a highly nonlinear, time-varying, time-varying, time-delay and strong coupling uncertain system. It is difficult to establish an accurate mathematical model of the controlled object. However, the traditional control method is not enough in the control speed and precision of complex system. In this paper, model-free adaptive control is studied, and an improved model-free adaptive control method based on particle swarm optimization algorithm is proposed and applied to TBS coarse slime sorting system. This paper introduces the TBS separation process and analyzes the main influencing factors of the TBS separation process. The overall control scheme based on Siemens S7-200 series PLC is presented. In the scheme design, based on the theoretical basis of MFAC algorithm, the MFAC controller module of the system is developed and designed, and compared with the traditional PID and fuzzy PID control methods from the aspects of tracking performance, adaptability and anti-jamming ability. In order to solve the problem of large lag in standard MFAC, an anti-lag ADMFAC controller is designed, and compared with MFAC, the improvement of control performance of ADMFAC is verified. Step length sequence k? And the weight factor? In order to further improve the control performance of MFAC, the particle swarm optimization (PSO) algorithm is used to optimize the parameters of ADMFAC. And the weight factor? The PSO-ADMFAC controller based on particle swarm optimization algorithm is designed for anti-delay model-free adaptive controller. Based on hardware and control strategy, the simulation experiment platform of TBS coarse coal slime separation system is built. The hardware configuration and related program of PLC are realized by STEP7 Micro WIN, the control algorithm is programmed in MATLAB, the monitor interface of host computer is designed based on Kingview, the HMI interface of touch screen is designed by DOPSoft, and the local monitoring station is designed. The configuration software and control algorithm are effectively integrated by OPC technology, and the data exchange between configuration software and MATLAB is realized. This paper designs and improves the control method of TBS coarse slime separation system, which has certain theoretical significance and application value in improving product quality, reducing waste of resources, protecting environment and so on.
【學(xué)位授予單位】：中國礦業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TD94;TP273

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本文編號：1810533