节点文献

大型复合板材恒压砂带磨削模糊自适应控制技术研究及应用

The Research and Application of Fuzzy Adaptive Constant Pressure Abrasive Belt Grinding Technologies for Large-scale Complex Plates

【作者】 刘瑞杰

【导师】 黄云;

【作者基本信息】 重庆大学 , 机械电子工程, 2011, 硕士

【摘要】 随着工业过程日益走向大型化、连续化、复杂化,很多系统使用常规控制无法得到满意的控制效果。同样,作为工件的大型复合板材通过爆炸接合后一般表面平面度很差,校正后仍然存在不同程度的翘曲变形,使表面呈波浪状。采用传统控制的平面磨削,磨头不能较好跟随工件型面变化,磨削时易出现在工件突起处过量磨削和在工件凹谷处磨削不到的磨削不均匀现象,这样磨削出来的工件表面质量差,其性能也满足不了实际的使用要求。另外,传统的控制方式往往需要建立被控对象的精确数学模型,而这在实际生产过程中也是很难做到的。为了更好的使得磨削加工过程中磨头磨具快速有效地跟随板材型面起伏变化,控制其恒压力接触被磨工件,防止出现工件部分位置磨削加工不到位或过磨的现象,以保证其磨削深度尺寸和磨削加工表面质量,因此结合砂带磨削和模糊自适应控制的诸多优点,本论文在阅读和研究大量国内外相关领域文献和平面砂带磨削工业控制加工的背景下,开展了针对大型复合板材恒压砂带磨削模糊自适应控制技术研究及应用。主要内容及研究成果如下:①分析大型复合板材在磨削加工中存在的问题,将自适应模糊控制技术引入平面砂带磨床的控制系统中,对平面恒压砂带磨床控制系统算法策略进行研究,研究了控制系统采用模糊自适应控制算法的必要性和可行性。②结合平面砂带磨床磨头磨削机构和控制系统,研究并建立系统控制对象数学模型,并进行简化和工程化处理。③根据平面砂带磨床磨削控制特点,提出了模糊控制规则和控制算法。详细分析了模糊化和解模糊方法,并对模糊控制规则进行了优化,保证控制系统具有良好的实时性。④设计了大型平面砂带磨床的自适应模糊控制器,确立了模糊化和解模糊的方法,并建立了模糊控制规则表,根据误差E和误差变化EC直接查找查询表,最终采用单片机来保证控制系统的恒压磨削。并运用MATLAB进行仿真,观察分析平面磨床模糊自适应控制系统的快速跟随性、稳定性和鲁棒性等。⑤分析并设计试验装置,搭建大型平面砂带磨床恒压模糊自适应控制的试验平台。

【Abstract】 With the rapid growth of industrial processes toward large size, continuous and complex, the control effect of many systems can’t be satisfied when using the conventional control. Similarly, parallelism of the surface of large composite plates are very poor after connecting by explosion, even it’s have different degrees of warpage after correction, so that the surface of the composite plates are like the wavy. Using the traditional control of surface grinding, the grinding head can not be better to follow the changes of the workpiece’s surface, the phenomenon of uneven grinding is appeared very easy. so the quality of the surface of workpiece is poor, which has failed to meet the actual requirements. In addition, the traditional control methods often need to establish accurate mathematical model of controlled object, which in the actual production process is very difficult to do.In order to effectively solve the problems of abrasive tools change with plate surface, constant pressure contact with workpiece to control grinding depth and grinding not enough or grinding too depth in some position, raising the surface grinding quality. In the paper, many advantages are incorporated of abrasive belt grinding and fuzzy adaptive control, the research and application of fuzzy adaptive constant pressure abrasive belt grinding technologies for large-scale complex plates were studied on the basis of referencing a lot of related literatures home and abroad .Main research contents and conclusions are as follows:①Problems of the large-scale composite plants by the grinding have been analyzed. Algorithm strategy of flat belt grinding machine control system has been studied in accordance with abrasive belt grinding machine control characteristics and the present treatment methods commonly used. The necessity and feasibility of fuzzy adaptive control algorithm system was given.②According to the requirements of flat grinding machine and control system, the controlled object is researched, and at the same time, the mathematical model of the system is treated, and then it’s processed simplify and engineering.③According to the control characteristics of flat grinding machine, the fuzzy control rules and control algorithms are proposed. The method of fuzzy is analysized, and the fuzzy control rules are optimized, in order to ensure the control system has a good real time. ④Fuzzy adaptive controller of large-scaled flat belt grinding is designed, the method of fuzzy and fuzzy control rule table are established. The control rule table is looked up directly based on the error E and error change EC, and then the single chip is used to ensure the control system to grind with constant pressure. And the MATLAB simulation is used to observe and analyze the following, stability and robustness of fuzzy adaptive control system of flat belt grinding machine.⑤Test equipment is analyzed and designed, and the test platform of fuzzy adaptive control with constant pressure of large flat belt grinding machine was set up.

  • 【网络出版投稿人】 重庆大学
  • 【网络出版年期】2012年 01期
节点文献中: 

本文链接的文献网络图示:

本文的引文网络