【作者】 张玲；

【导师】 黄光球； 席爱民；

【作者基本信息】 西安建筑科技大学 ， 采矿工程， 2004， 硕士

【摘要】 模糊控制作为智能控制的最主要形式被广泛地应用于工业生产的各个领域，但是模糊控制精度不高却是不争的事实，提高模糊控制的精度、消除振荡成为模糊控制发展的新课题，为此，模糊控制的研究者提出了各种解决问题的办法，为模糊控制技术的进一步推广起到很重要的作用；对于大惯性的纯滞后系统实施的预测控制也是控制界的主要课题之一，传统的Smith预估器需要对象的精确数学模型，而实际工程中的控制对象往往很难获得其精确数学模型，因此，控制精度高且具有预测功能的模糊控制器是解决这一大类问题首选控制方案。 弹簧钢丝对于钢丝的韧性、弹性、强度等均有较高的要求，而这些性能参数取决于生产工艺的实现，稳定，无抖动的温度控制技术成为提高弹簧钢丝质量的关键技术。本文以湖北某钢丝绳厂弹簧钢丝热处理生产线控制系统为依托，论述了整个生产过程的监控系统的设计，通过对该类钢丝生产中的快速加热过程、退火、回火等过程中的温度控制参数的研究，设计了相应的智能型复合模糊控制器，根据快速加热过程的实现方式，对于快速反应的被控对象，给出了以模糊控制为基础的结合开关控制、PI控制的快速升温，且不超调的一种智能型复合模糊控制器，对于退火、回火等工艺过程，采用电加热方式，该类工艺过程作为控制对象属于具有纯滞后的大惯性系统，作者设计出模型预测自适应模糊控制器，并对所设计的控制器进行计算机仿真实验，取得了满意的效果。 总之，控制系统不需要被控对旁的精确数学模型，采用以上控制策略，即可获得较好的控制效果。可以推广应用到其它类似的生产工艺中。更多还原

【Abstract】 Fuzzy control, as a main way of intelligent control, is widely used in every field of industrial production, but it is undisputable that fuzzy control has no high precision. The increasement of precision and elimination of vibration for fuzzy control is a new topic to develop fuzzy controller. Thus, the researcher of fuzzy control has proposed various programs to solve the problems of this kind, which plays an important role in popularization of fuzzy control technology. The predictive control employed in a pure delay system with big inertia is also a major issue in control arena. The traditional predictors such as Smith require a precise mathematic model of object, but practically, it is very difficult for a control object to obtain a precise mathematic model. So, fuzzy controller with high precision and prediction ability is a first prioritySpring steel-wire has higher toughness, elasticity and strength, and these parameters of steel wire depend on its manufacturing process. Hence, a steady or in-fluctuation temperature control technology is a key role to improve the quality of spring steel-wire. Based on the heating treatment control system of a spring steel - wire production line in a factory, Hubei province, the paper deals with the design of fully automatically monitoring system across its manufacturing process. Through research of parameters of temperature control during the period of heating, annealing and tempering in steel wire manufacturing process, the corresponding composite intelligence fuzzy controller is designed. In light with the way of fast heating, a composite intelligent fuzzy controller combined with on-off control & PI control is set up. For the control object that adopts electricity heating to anneal and temper, lying in a pure delay system with big inertia, the author designed an adaptive predicative fuzzy controller. Moreover, the simulation test on the designed controller with the tool SIMULINK was conducted, and some satisfied results were got.In conclusion, the designed controller needs no precise t mathematics model of the controlled object, when the mentioned programs are adopted, the satisfied simulation results can be obtained, the achievements of the paper can be put into operation in the other simaliar product.更多还原