【作者】 张浩；

【导师】 李敏远；

【作者基本信息】 西安理工大学 ， 检测技术与自动化装置， 2002， 硕士

【摘要】 本文介绍了LF精炼炉底吹氩过程控制系统的工作原理、工艺要求、建模过程、控制策略以及控制系统的实现。通过对精炼炉底吹氩过程控制系统进行研究与分析，并根据流体力学的有关知识以及有关数据(其中包括设计数据、试验数据和运行数据)，建立起了被控对象的平均神经网络模型和执行机构(即PWM调压器和PCM调流器)的数学模型。在此模型的基础上，从底吹氩工艺要求和控制系统的实际情况出发，提出了压差内环模糊参数自适应PID控制策略和流量外环模糊PI复合控制策略，以实现氩气流量的精确控制。通过仿真结果可知，本文所采用的控制策略与常规的PID控制相比，具有较强的鲁棒性和良好的动态性能。最后，本文从控制系统实现的角度，分别阐述了该控制系统硬件和软件的设计与调试，并且给出了该控制系统在工业现场运行的结果。更多还原

【Abstract】 This thesis introduces the working principle ,craftwork requirement ,modeling process ,control strategies and the realization of LF refining furnance bottom blowing Argon control system.Through the study and analysis of bottom blowing Argon process control system ,the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors ,PWM adjustable pressure controller and PCM adjustable flux controller according to the relevant liquid knowledge and relevant data ,including design data,test data and running data.To begin with the craftwork reguirement of bottom blowing Argon and the actual instance of the control system,it presents the strategies of fuzzy parameters self-adaptive PID control used in pressure difference inner loop and fuzzy plus PI compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of Argon flux. Compared with normal PID, we can draw a conclusion that the control strategies have stronger robust performance and better dynamic performance from simulating results.Finally ,with the respect of the control system realization the thesis not only shows the design and debugging of the control system’s hardware and software respectively but also gives the results of the control system under the industrial condition.更多还原