轧机液压弯辊系统智能控制的研究

发布时间：2018-01-19 23:39

本文关键词： 液压弯辊 PID控制粒子群算法遗传算法蚁群算法　出处：《燕山大学》2016年硕士论文　论文类型：学位论文

【摘要】：液压弯辊系统是板形控制中应用最广泛、控制效果最有效的方式之一,普遍应用在大多数的轧机中。轧机液压弯辊控制系统大多数都采用传统的PID控制算法,但是传统PID控制现已远远不能够满足高精度控制的要求。近年来,智能控制算法得到了突飞猛进的发展,智能理论日趋成熟。智能控制算法逐渐在社会生产实际中得到应用。许多研究与工作人员将智能控制算法与PID控制算法相结合,并应用到液压弯辊控制系统中,取得了良好的控制效果。进一步研究智能控制在液压弯辊系统中的应用显得十分重要。(1)系统的研究了液压弯辊系统的组成和基本原理,通过分析液压弯辊系统的特性和工作原理,建立了液压弯辊系统模型。通过Matlab软件对模型进行时域分析,并针对传统液压弯辊系统控制方法进行仿真;(2)结合现今应用比较广泛的智能控制方法,将遗传算法、粒子群算法应用到了液压弯辊控制系统中。建立智能液压弯辊控制系统模型,对液压弯辊模型进行仿真研究;(3)针对遗传算法和粒子群算法在液压弯辊系统应用中的不足,本文首次提出了融入遗传因子的粒子群算法模型和融入遗传因子的蚁群模型。并将这两种模型应用在液压弯辊系统中。仿真结果表明:两种模型克服了粒子群算法和蚁群算法易陷入局部最优解的问题,控制效果得到更一步的改善;(4)为了进一步验证所建模型的可靠性,本文在液压弯辊系统施加外界干扰,并进行仿真。结果表明融入遗传因子的蚁群模型具有最强的抗干扰能力,具有较高的控制精度;(5)本文所有仿真均是以某厂1220四辊冷轧机液压弯辊系统为仿真对象,以Matlab软件为平台进行。仿真结果具有较高的可靠性,对于轧机液压弯辊系统智能控制的深入研究提供了非常实用的借鉴和参考,对于最终提高板形质量有着重要的现实指导意义。
[Abstract]:Hydraulic roll bending system is one of the most widely used and effective control methods in shape control. It is widely used in most rolling mills. The traditional PID control algorithm is used in the hydraulic bending roll control system of the rolling mill. But the traditional PID control can not meet the requirement of high precision control. In recent years, intelligent control algorithm has been developed by leaps and bounds. Intelligent theory is becoming more and more mature. Intelligent control algorithm is gradually applied in social production. Many researchers and staff will combine intelligent control algorithm with PID control algorithm. And applied to the hydraulic roll bending control system. It is very important to study the application of intelligent control in hydraulic roll bending system. The composition and basic principle of hydraulic bending roll system are studied. By analyzing the characteristics and working principle of hydraulic roll bending system, the hydraulic bending roll system model is established, and the model is analyzed in time domain by Matlab software. The traditional control method of hydraulic bending roll system is simulated. Combining with the widely used intelligent control method, the genetic algorithm and particle swarm optimization algorithm are applied to the hydraulic roll bending control system, and the intelligent hydraulic bending roll control system model is established. The model of hydraulic bending roll is simulated. 3) aiming at the deficiency of genetic algorithm and particle swarm optimization in the application of hydraulic roll bending system. In this paper, the particle swarm optimization model with genetic factor and the ant colony model with genetic factor are proposed for the first time. The two models are applied to the hydraulic roll bending system. The simulation results show that:. The two models overcome the problem that particle swarm optimization (PSO) and ant colony algorithm (ACO) are easy to fall into local optimal solution. The control effect is improved further; In order to further verify the reliability of the model, the external interference is applied in the hydraulic roll bending system, and the simulation results show that the ant colony model with genetic factors has the strongest anti-interference ability. It has high control precision. All the simulation in this paper is based on the hydraulic bending roll system of 1220 four-high cold rolling mill in a factory, and the simulation results are carried out on the platform of Matlab software. The simulation results are of high reliability. It provides a very practical reference and reference for the deep research of intelligent control of hydraulic bending roll system of rolling mill, and has important practical guiding significance for the final improvement of shape quality.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TG334.9

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