Adaptive Real-Time Tracking Control System for Ammonia Desulphurization

doi:10.16182/j.issn1004731x.joss.201805028

Abstract

Abstract: 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.

Key words: ammonia desulphurization, delaytime, estimate and compensation device, model reference adaptive, real-time tracking control system

CLC Number:

TP391.9

Ma Lixin, Lü Mengyuan. Adaptive Real-Time Tracking Control System for Ammonia Desulphurization[J]. Journal of System Simulation, 2018, 30(5): 1838-1843.

References

[1] 梁高. 氨法脱硫在热电厂中应用[J]. 能源环境保护, 2004, 18(4): 34-37.
Liang Gao.Ammonia desulfurization is used in thermal power plant[J]. Energy and environmental protection, 2004, 18(4): 34-37.
[2] 马增辉. 基本扰动补偿的大滞后系统的控制[J]. 信息与控制, 2013, 42(5): 570-576.
Ma Zenghui.The control of the large lag system of basic disturbance compensation[J].Information and control , 2013, 42(5): 570-576.
[3] 白建云, 张志华, 张培华, 等. 模糊自适应补偿控制在炉内脱硫系统中的应用[J]. 自动化仪表, 2016, 37(3): 65-68.
Bai Jianyun, Zhang Zhihua, Zhang Peihua, et al.The application of fuzzy adaptive compensation control to desulphurization system in furnace[J]. Automatic instrument, 2016, 37(3): 65-68.
[4] 白建云, 尹二新, 李春晖. 基于PID 的模糊内模控制在炉内脱硫系统控制中的应用[J]. 热力发电, 2015, 44(1): 57-62.
Bai Jianyun, Yin Erxin, Li Chunhui.The application of fuzzy internal model based on PID control in the control of desulfurization system in furnace[J]. Thermal power generation, 2015, 44(1): 57-62.
[5] 章家岩, 马中海, 李绍铭, 等. Smith预估补偿控制策略在转炉煤气回收系统中的应用[J]. 仪器仪表学报, 2011, 32(3): 628-633.
Zhang Jiayan, Ma Zhonghai, Li Shaoming et al. The application of Smith estimation compensation control strategy in converter gas recovery system[J]. Journal of instrumentation, 2011, 32(3): 628-633.
[6] 李兆博, 吴爱国, 何熠, 等. 制冷系统的改进Smith预估补偿和解耦控制[J]. 控制理论与应用, 2013, 30(1): 111-117.
Li Zhaobo, Wu Aiguo, Heyi, et al. Improvement of refrigeration system Smith estimation compensation and decoupling control[J]. Control theory and application, 2013, 30(1): 111-117.
[7] IBRAHIM K.A new Smith predictor and controller for control of processes with long dead time[J]. ISA Transactions (S0019-0578), 2003, 42(1): 101-110.
[8] 马立新, 刘春. 负荷跟踪发电系统自适应控制方法[J].电子科技, 2015, 28(8): 134-137.
Ma Lixin, Liu Chun.The adaptive control method of load tracking power generation system[J]. Electronic science and technology, 2015, 28(8): 134-137.
[9] 张洪帅, 王平, 韩邦成. 基于模糊PI模型参考自适应的高速永磁同步电机转子位置检测[J]. 中国电机工程学报, 2014, 34(12): 1889-1896.
Zhang Hongshuai, Wang Ping, Han Bangcheng.Based on fuzzy PI model reference adaptive high-speed permanent magnet synchronous motor rotor position detection[J]. Journal of Chinese electrical engineering, 2014, 34(12): 1889-1896.
[10] 裴喜平, 郝晓弘, 陈伟. 基于模型参考自适应算法的三相锁相环系统[J]. 电工技术学报, 2014, 29(4): 196-204.
Pei Xiping, Hao Xiaohong, Chen Wei.Three-phase phase locked loop system based on model reference adaptive algorithm[J]. Journal of electrical engineering, 2014, 29(4): 196-204.
[11] 李迅, 宋东球, 喻寿益, 等. 基于模型参考自适应Smith预估器的反馈式AGC厚度控制系统[J]. 控制理论与应用, 2009, 26(9): 999-1003.
Li Xun, Song Dongqiu, Yu Shouyi, et al.The feedback AGC thickness control system based on model reference adaptive Smith estimator[J]. Control theory and application, 2009, 26(9): 999-1003.
[12] 方强, 陈利鹏, 费少华, 等. 定位器模型参考自适应控制系统设计[J]. 浙江大学学报(工学版), 2013, 47(12): 2235-2242.
Fang Qiang, Chen Lipeng, Fei Shaohua, et al.Reference adaptive control system design for positioner model[J]. Journal of zhejiang university(engineering), 2013, 47(12): 2235-2242.
[13] KIM K H.Model reference adaptive control-based adaptive current control scheme of a PM synchronous motor with an improved servo performance[J]. IET Electric Power Applications (S1751-8660), 2009, 3(1): 8-18.
[14] FIFLSEN A, GRAVDAHLT. Adaptive control of a nanopositioning device[C]// Proceedings of the IEEE conference on Decision and Control. Piscataway: IEEE, 2012: 5065-5072.
[15] 刘晓悦, 姚乐乐, 李庆哲. 模型参考自适应控制策略在光伏并网系统中的应用[J]. 电力电气, 2014, 33(9): 32-37.
Liu Xiaoyue, Yao Lele, Li Qingzhe.The application of model reference adaptive control strategy in photovoltaic grid-connected system[J]. Power Electric, 2014, 33(9): 32-37.