氨法脱硫自适应实时跟踪控制系统  

Adaptive Real-Time Tracking Control System for Ammonia Desulphurization

作　　者：马立新[1] 吕梦圆 Ma Lixin;Lv Mengyuan(School of Optical-Eleetrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, Chin)

机构地区：[1]上海理工大学光电信息与计算机学院,上海200093

出　　处：《系统仿真学报》2018年第5期1838-1843,共6页Journal of System Simulation

基　　金：国家自然科学基金(61205076)

摘　　要：在氨法脱硫系统中,可采用预估补偿装置来补偿传感器检测过程存在的延迟时间,但该方法数学模型中参数的误差对控制性能产生很大影响,无法实现负荷实时跟踪。针对该问题,提出负荷跟踪的模型参考自适应实时控制系统,将模型参考自适应系统运用到氨法脱硫系统中,与传统采用常规阶跃响应特性来判断算法效果不同,是以实时的过程控制模型进行模拟计算。数据仿真结果表明,系统跟随性好且反应迅速,能有效抑制误差使系统快速趋于稳定。自适应实时跟踪控制系统在系统误差、实时跟踪效果及鲁棒性上更具优越性,在实际工程领域更具应用价值。In the ammonia desulphurization system, we can use forecast devices to compensate the delay time of sensor in the process of detection. But the error of the parameters in the mathematical model of the method has a great influence on the performance of the control system. So it is unable to realize the real-time tracking of the load. Concerning this problem, we put forward a kind of real-time tracking control system based on model reference adaptive technology which could be able to track the load--model reference adaptive technology is used in the ammonia desulphurization technology. It breaks the normal mode which uses the step as the input to evaluate the effect of the algorithm and the simulated calculations are conducted in the real-time process control model. The simulation result of the data shows that this system could follow the load and react to it quickly. What＇s more, the error tends towards stability rapidly. The preferable performance of the adaptive real-time tracking control system in the system error, real-time tracking and robustness makes it has a better prospect in the engineering application.

关 键 词：氨法脱硫 延迟时间 预估补偿装置 模型参考自适应 实时跟踪控制系统 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]