基于无模型自适应控制器在锅炉控制系统中的应用研究

发布时间：2018-06-07 05:35

本文选题：锅炉系统 + PID控制　；参考：《青岛科技大学》2017年硕士论文

【摘要】：锅炉系统在生产制造业中具有举足轻重的地位,是石油、化工等领域重要的能量转换设备,与人类的生活息息相关。与此同时锅炉系统自身所具有的复杂性、非线性、不确定性与时滞性一直制约着其发展。随着现代工业的发展,对锅炉系统的要求已经不仅仅局限于完成生产制造,对锅炉系统的控制要求更加注重其安全性能、减少能耗以及避免环境污染等方面。本文首先以SMPT-1000高级多功能过程控制实训系统中的锅炉单元为研究对象,依据锅炉工艺流程对锅炉系统中的被控对象进行了特性分析,根据控制系统设计原则,基于PCS7完成了锅炉PID控制方案的设计与实施工作。并利用Wincc设计了人机界面使操作人员能够更加直观的对锅炉系统进行控制与监控。针对非线性、结构复杂的模型,传统的PID控制已经不能较好的完成控制要求,因此本文利用无模型自适应技术来实现锅炉系统的控制。为了解决无模型自适应控制中控制参数选定问题,利用ISE,ITAE和组合性能指标与梯度下降算法结合,提出了二阶泛模型无模型自适应控制器参数优化算法,解决了无模型自适应控制器在工程应用中参数调整的困难问题。并利用无模型自适应控制算法针对过热蒸汽出口压力这一重要被控参数进行控制,通过仿真结果对比PID算法下的控制系统与无模型自适应算法下的控制系统,能够看出无模型自适应控制器在锅炉系统的应用中更具优势,其响应更加迅速,系统也更加稳定。
[Abstract]:Boiler system plays an important role in the manufacturing industry. It is an important energy conversion equipment in the fields of petroleum, chemical industry and so on, which is closely related to human life. At the same time, the development of boiler system is restricted by its complexity, nonlinearity, uncertainty and time delay. With the development of modern industry, the requirement of boiler system is not only to complete production, but also to control boiler system to pay more attention to its safety performance, reduce energy consumption and avoid environmental pollution. In this paper, the boiler unit in the advanced multifunctional process control system of SMPT-1000 is taken as the research object, the characteristics of the controlled object in the boiler system are analyzed according to the boiler process flow, and according to the design principle of the control system, the characteristics of the controlled object in the boiler system are analyzed. The design and implementation of boiler PID control scheme based on PCS7 are completed. The man-machine interface is designed with Wincc to enable the operator to control and monitor the boiler system more intuitively. For the nonlinear and complicated model, the traditional PID control can not fulfill the control requirements well, so this paper uses the model-free adaptive technology to realize the boiler system control. In order to solve the problem of selecting control parameters in model-free adaptive control, a second-order universal model-free adaptive controller parameter optimization algorithm is proposed by combining ISEEITAE with combined performance index and gradient descent algorithm. The problem of parameter adjustment in engineering application of model-free adaptive controller is solved. The model free adaptive control algorithm is used to control the superheated steam outlet pressure as an important controlled parameter. The simulation results are compared between the control system based on the PID algorithm and the control system under the model free adaptive algorithm. It can be seen that the modelless adaptive controller has more advantages in the application of boiler system, its response is faster and the system is more stable.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273

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