基于PSO算法的RBF神經(jīng)網(wǎng)絡(luò)在板形板厚綜合控制中的應(yīng)用
發(fā)布時間：2018-10-12 09:48
【摘要】：鋼鐵是發(fā)展國民經(jīng)濟(jì)的重要物資基礎(chǔ),板帶材是廣泛應(yīng)用于國民經(jīng)濟(jì)各部門的重要原材料。其中板形質(zhì)量和板厚精度是衡量帶鋼質(zhì)量的兩個重要指標(biāo)。板形板厚控制是一個復(fù)雜多變的控制系統(tǒng)。影響板形板厚的各個參數(shù)之間有著很強(qiáng)的耦合性。因此,實(shí)現(xiàn)板形板厚控制(AFC-AGC)的研究已經(jīng)成為一個前沿的熱點(diǎn)問題。 隨著智能技術(shù)的研究和發(fā)展,很多專家學(xué)者將智能技術(shù)應(yīng)用到AFC-AGC綜合控制中。由于AFC-AGC是一個非線性、強(qiáng)耦合、大時滯的多變量實(shí)時控制系統(tǒng)。對于這樣的非常規(guī)的復(fù)雜系統(tǒng),常規(guī)的方法很難實(shí)現(xiàn)理想的控制。因此,采用現(xiàn)代控制方法和智能方法相結(jié)合的控制手段成為必然的趨勢。 本文針對AFC-AGC綜合控制的特點(diǎn),主要進(jìn)行了以下工作： 1.通過分析板帶材軋制過程,完成AGC-AFC系統(tǒng)數(shù)學(xué)公式的推導(dǎo)和數(shù)學(xué)模型的建立,并建立AGC-AFC的系統(tǒng)框圖。 2.對粒子群優(yōu)化算法(Particle Swarm Optimizition.PSO)進(jìn)行了深入的分析和研究,針對PSO算法在使用過程中存在易于陷入局部最優(yōu),收斂精度不高等缺陷,提出適合本文的改進(jìn)PSO優(yōu)化算法,并通過Matlab仿真驗(yàn)證改進(jìn)的PSO算法具有很好的精度。 3.介紹了神經(jīng)網(wǎng)絡(luò)的基本內(nèi)容,比較了RBF神經(jīng)網(wǎng)絡(luò)和BP神經(jīng)網(wǎng)絡(luò)的優(yōu)缺點(diǎn),選擇適合本文的RBF神經(jīng)網(wǎng)絡(luò)。同時用改進(jìn)的PSO算法對RBF神經(jīng)網(wǎng)絡(luò)的結(jié)構(gòu)和參數(shù)進(jìn)行優(yōu)化,并比較分析了各種優(yōu)化效果。 4.設(shè)計(jì)出一種基于PSO算法的RBF神經(jīng)網(wǎng)絡(luò)的解耦控制器,并將其用于對板形板厚的綜合控制系統(tǒng)中,完成系統(tǒng)的解耦實(shí)現(xiàn)分別控制。采用Matlab仿真結(jié)果證明了本文提出的方案具有很好的解解耦性,滿足了所需要的精度。 本文提出的控制方案,結(jié)構(gòu)簡單從而方便工程實(shí)現(xiàn),與此同時還有較好的解禍效果和魯棒性。為板形板厚綜合控制系統(tǒng)提供了一種新思路、新途徑。
[Abstract]:Iron and steel is an important material base for the development of national economy, and sheet and strip is an important raw material widely used in various sectors of national economy. The shape quality and plate thickness accuracy are two important indexes to measure strip quality. Plate thickness control is a complex and variable control system. There is a strong coupling between the parameters that affect the thickness of the plate. Therefore, the research of shape and plate thickness control (AFC-AGC) has become a hot topic. With the research and development of intelligent technology, many experts and scholars apply intelligent technology to AFC-AGC integrated control. Because AFC-AGC is a nonlinear, strongly coupled, large time delay multivariable real-time control system. For such unconventional complex systems, conventional methods are difficult to achieve ideal control. Therefore, the combination of modern control methods and intelligent methods has become an inevitable trend. The main work of this paper is as follows: 1. By analyzing the rolling process of sheet and strip, the mathematical formula and mathematical model of AGC-AFC system are deduced, and the system block diagram of AGC-AFC is established. 2. The particle swarm optimization (Particle Swarm Optimizition.PSO) algorithm is deeply analyzed and studied. In view of the disadvantages of PSO algorithm which is easy to fall into local optimum and low convergence precision, an improved PSO optimization algorithm suitable for this paper is proposed. Matlab simulation shows that the improved PSO algorithm has good accuracy. 3. 3. The basic content of neural network is introduced, the advantages and disadvantages of RBF neural network and BP neural network are compared, and the RBF neural network suitable for this paper is selected. At the same time, the structure and parameters of RBF neural network are optimized by the improved PSO algorithm. A decoupling controller of RBF neural network based on PSO algorithm is designed and applied to the integrated control system of shape and plate thickness. The Matlab simulation results show that the proposed scheme has good decoupling and meets the required precision. The control scheme presented in this paper is simple in structure and convenient for engineering implementation. At the same time, it also has good effect and robustness. It provides a new idea and new way for the integrated control system of shape and plate thickness.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F426.3;TP18
本文編號：2265675
[Abstract]:Iron and steel is an important material base for the development of national economy, and sheet and strip is an important raw material widely used in various sectors of national economy. The shape quality and plate thickness accuracy are two important indexes to measure strip quality. Plate thickness control is a complex and variable control system. There is a strong coupling between the parameters that affect the thickness of the plate. Therefore, the research of shape and plate thickness control (AFC-AGC) has become a hot topic. With the research and development of intelligent technology, many experts and scholars apply intelligent technology to AFC-AGC integrated control. Because AFC-AGC is a nonlinear, strongly coupled, large time delay multivariable real-time control system. For such unconventional complex systems, conventional methods are difficult to achieve ideal control. Therefore, the combination of modern control methods and intelligent methods has become an inevitable trend. The main work of this paper is as follows: 1. By analyzing the rolling process of sheet and strip, the mathematical formula and mathematical model of AGC-AFC system are deduced, and the system block diagram of AGC-AFC is established. 2. The particle swarm optimization (Particle Swarm Optimizition.PSO) algorithm is deeply analyzed and studied. In view of the disadvantages of PSO algorithm which is easy to fall into local optimum and low convergence precision, an improved PSO optimization algorithm suitable for this paper is proposed. Matlab simulation shows that the improved PSO algorithm has good accuracy. 3. 3. The basic content of neural network is introduced, the advantages and disadvantages of RBF neural network and BP neural network are compared, and the RBF neural network suitable for this paper is selected. At the same time, the structure and parameters of RBF neural network are optimized by the improved PSO algorithm. A decoupling controller of RBF neural network based on PSO algorithm is designed and applied to the integrated control system of shape and plate thickness. The Matlab simulation results show that the proposed scheme has good decoupling and meets the required precision. The control scheme presented in this paper is simple in structure and convenient for engineering implementation. At the same time, it also has good effect and robustness. It provides a new idea and new way for the integrated control system of shape and plate thickness.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F426.3;TP18
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