回转炉炉温控制算法的研究
发布时间：2018-08-11 13:41
【摘要】：实际工业生产过程中常会出现含有时滞环节的多变量耦合系统,这些大滞后系统给工业生产带来不少的麻烦,难以达到理想的控制效果,甚至会带来安全方面的问题。随着工业控制要求的提高,以及因多输入和多输出变量而形成的复杂系统,对控制方法提出了更高的要求。所以,针对复杂控制对象提出有效实用且稳定的控制方法是工业控制领域研究的热点之一。论文根据实际项目催化剂造粒生产的工艺流程和回转炉的焙烧原理,设计出基于S7-300PLC的回转炉控制系统,实现了整个生产过程的自动化控制,组态人机界面,实现了整个过程的可视化控制。采用传统的PID控制方法,实现回转炉内部温度、压力的自动控制,达到了目标控制效果。依据实际项目经验,分析了回转炉系统温度的滞后特性。对常见的控制算法PID、Smith预估控制进行分析和推导,并对Smith预估控制进行改进。将模糊控制分别与PID、内模控制结合,推导相关理论方程,设计出改进的Fuzzy-PID控制算法。对控制算法进行相应控制器的设计,通过MATLAB分别对PID控制器,Fuzzy-PID控制器和改进的Fuzzy-PID控制器进行仿真,获取单位阶跃下的响应输出曲线。仿真结果表明,改进的Fuzzy-PID控制算法在系统的动态和静态特性方面都获得了满意的控制效果。
[Abstract]:In the process of industrial production, there are often multivariable coupling systems with time delay, which bring many troubles to industrial production, and it is difficult to achieve ideal control effect, and even bring safety problems. With the improvement of industrial control requirements and complex systems formed by multi-input and multi-output variables, higher requirements for control methods are put forward. Therefore, it is one of the hotspots in the field of industrial control to propose effective and stable control methods for complex control objects. According to the process flow of catalyst granulation and the roasting principle of rotary furnace, a rotary converter control system based on S7-300PLC is designed in this paper, which realizes the automatic control of the whole production process and the configuration of man-machine interface. The visual control of the whole process is realized. The traditional PID control method is used to realize the automatic control of temperature and pressure in the converter, and the target control effect is achieved. Based on actual project experience, the hysteresis characteristics of converter system temperature are analyzed. This paper analyzes and deduces the common control algorithm, and improves the Smith predictive control. Combining fuzzy control with Fuzzy-PID and internal model control, the related theoretical equations are derived, and an improved Fuzzy-PID control algorithm is designed. The corresponding controller is designed for the control algorithm. The PID controller Fuzzy-PID controller and the improved Fuzzy-PID controller are simulated by MATLAB to obtain the response output curve of unit step. Simulation results show that the improved Fuzzy-PID control algorithm has achieved satisfactory control results in both dynamic and static characteristics of the system.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273
[Abstract]:In the process of industrial production, there are often multivariable coupling systems with time delay, which bring many troubles to industrial production, and it is difficult to achieve ideal control effect, and even bring safety problems. With the improvement of industrial control requirements and complex systems formed by multi-input and multi-output variables, higher requirements for control methods are put forward. Therefore, it is one of the hotspots in the field of industrial control to propose effective and stable control methods for complex control objects. According to the process flow of catalyst granulation and the roasting principle of rotary furnace, a rotary converter control system based on S7-300PLC is designed in this paper, which realizes the automatic control of the whole production process and the configuration of man-machine interface. The visual control of the whole process is realized. The traditional PID control method is used to realize the automatic control of temperature and pressure in the converter, and the target control effect is achieved. Based on actual project experience, the hysteresis characteristics of converter system temperature are analyzed. This paper analyzes and deduces the common control algorithm, and improves the Smith predictive control. Combining fuzzy control with Fuzzy-PID and internal model control, the related theoretical equations are derived, and an improved Fuzzy-PID control algorithm is designed. The corresponding controller is designed for the control algorithm. The PID controller Fuzzy-PID controller and the improved Fuzzy-PID controller are simulated by MATLAB to obtain the response output curve of unit step. Simulation results show that the improved Fuzzy-PID control algorithm has achieved satisfactory control results in both dynamic and static characteristics of the system.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273
【参考文献】
相关期刊论文 前10条
1 Xinqing Gao;Fan Yang;Chao Shang;Dexian Huang;;A review of control loop monitoring and diagnosis:Prospects of controller maintenance in big data era[J];Chinese Journal of Chemical Engineering;2016年08期
2 Mohammad Shamsuzzoha;;IMC based robust PID controller tuning for disturbance rejection[J];Journal of Central South University;2016年03期
3 项丹;刘吉臻;李露;;基于多变量解耦内模控制的机组协调控制系统设计[J];热力发电;2015年02期
4 史建公;谈文芳;李沂o，
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