基于模糊自抗扰的锅炉主汽温控制策略研究
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摘要
为提高火电主汽温控制系统在机组参与深度调峰过程中的控制品质,提升控制系统的自适应能力与鲁棒性,提出了模糊ADRC串级控制方案。在MATLAB仿真平台中搭建控制器进行仿真研究,并与传统的PID串级控制方案进行比较,最后用蒙特卡洛法验证控制系统的鲁棒性。仿真结果表明:模糊自抗扰控制器的快速响应能力优于PID控制器;在增加内扰的情况下,模糊ADRC的抗扰性较好;在随机工况的控制中,模糊ADRC表现出更好的自适应能力与鲁棒性。
In order to improve the control quality of the thermal power main steam temperature control system in the process of the unit participating in the deep peak shaving,and to improve the adaptive ability and robustness of the control system,this paper proposes a fuzzy ADRC cascade control scheme.A controller is built in the MATLAB simulation platform to conduct simulation research,and compare it with the traditional PID cascade control scheme.Finally,Monte Carlo method is used to verify the robustness of the control system.The simulation results show that the fuzzy auto-disturbance rejection controller has faster response capability than the PID controller.In the case of increasing internal disturbance,the fuzzy ADRC has better noise immunity.In the random conditions control experiments,the fuzzy ADRC shows much better adaptability and robustness.
In order to improve the control quality of the thermal power main steam temperature control system in the process of the unit participating in the deep peak shaving,and to improve the adaptive ability and robustness of the control system,this paper proposes a fuzzy ADRC cascade control scheme.A controller is built in the MATLAB simulation platform to conduct simulation research,and compare it with the traditional PID cascade control scheme.Finally,Monte Carlo method is used to verify the robustness of the control system.The simulation results show that the fuzzy auto-disturbance rejection controller has faster response capability than the PID controller.In the case of increasing internal disturbance,the fuzzy ADRC has better noise immunity.In the random conditions control experiments,the fuzzy ADRC shows much better adaptability and robustness.
引文
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[16] 吴炳晖,袭建军,宫娜,等.基于蒙特卡洛法的结构可靠度预计[J].机械制造,2015,19(6):68-70.WU Bing-hui,XI Jian-jun,GONG Na,et al.Estimation of structural reliability based on Monte Carlo method[J].Machinery,2015,19(6):68-70.
[2] 彭双剑,刘武林,盛锴,等.过热汽温串级PID控制系统建模机理分析与验证[J].湖南电力,2013,33(9):24-28.PENG Shuang-jian,LIU Wu-lin,SHENG Kai,et al.Modeling mechanism analysis and verification of superheated steam temperature cascade PID control system[J].Hunan Electric Power,2013,33(9):24-28.
[3] 金丰,项福禄,天罡,等.主汽温串级控制系统PSO优化方法的工程实践[J].现代电力,2010,27(4):78-82.JIN Feng,XIANG Fu-lu,TIAN Gang,et al.Engineering practice of PSO optimization method for main steam temperature cascade control system[J].Modern Electric Power,2010,27(4):78-82.
[4] 王传峰,李东海,姜学智,等.基于概率鲁棒性的锅炉过热汽温串级PID控制器[J].清华大学学报,2009,49(2):249-252.WANG Chuan-feng,LI Dong-hai,JIANG Xue-zhi,et al.Boiler superheated steam cascade PID controller based on probability robustness[J].Journal of Tsinghua University,2009,49(2):249-252.
[5] 韩京清.自抗扰控制技术:估计补偿不确定因素的控制技术[M].北京:国防工业出版社,2008.HAN Jing-qing.Auto disturbance rejection control technology:estimation control technology for compensation uncertainty [M].Beijing:National Defense Industry Press,2008.
[6] 林永君,管志敏,彭钢,等.基于自抗扰控制的循环流化床锅炉床温系统的研究[J].热能动力工程,2010,25(5):514-516.LIN Yong-jun,GUAN Zhi-min,PENG Gang,et al.Study on bed temperature system of circulating fluidized bed boiler based on auto disturbance rejection control[J].Journal of Engineering for Thermal Energy and Power,2010,25(5):514-516.
[7] 陈红,曾建,王广军.蒸汽发生器水位的自抗扰控制[J].中国电机工程学报,2010,30(32):103-107.CHEN Hong,ZENG Jian,WANG Guang-jun.Automatic disturbance rejection control of steam generator water level[J].Proceedings of the CSEE,2010,30(32):103-107.
[8] 王万召,谭文.循环流化床锅炉主汽温自抗扰控制系统[J].动力工程学报,2017,37(12):977-982.WANG Wan-zhao,TAN Wen.Main steam temperature auto disturbance rejection control system for circulating fluidized bed boilers[J].Chinese Journal of Power Engineering,2017,37(12):977-982.
[9] 王兵树,管志敏,林永君,等.基于自抗扰控制的火电厂主汽温控制系统及其参数整定[J].电力系统自动化,2008,32(21):82-86.WANG Bing-shu,GUAN Zhi-min,LIN Yong-jun,et al.Main steam temperature control system and parameter tuning of thermal power plant based on auto disturbance rejection control[J].Automation of Electric Power Systems,2008,32(21):82-86.
[10] 吴振龙,何婷,王灵梅,等.基于多目标遗传算法的过热汽温建模与仿真[J].系统仿真学报,2017,29(9):2081-2086.WU Zhen-long,HE Ting,WANG Ling-mei,et al.Modeling and simulation of superheated steam temperature based on multi-objective genetic algorithm[J].Journal of System Simulation,2017,29(9):2081-2086.
[11] 李孟秋.自抗扰参数模糊自整定无刷直流电机控制研究[J].湖南大学学报,2014,41(5):71-78.LI Meng-qiu.Study on fuzzy self-adjusting brushless dc motor control of ADRC parameters[J].Journal of Hunan University,2014,41(5):71-78.
[12] GAO Z.Scaling and bandwidth-parameterization based controller tuning[C]//USA:IEEE,2003:4989-4996.
[13] 刘星桥,唐琳,朱丽婷.模糊自抗扰控制的三电机同步协调系统[J].电机与控制学报,2013,17(4):104-109.LIU Xing-qiao,TANG Lin,ZHU Li-ting.Three-motor synchronous coordination system based on fuzzy auto-disturbance disturbance control[J].Electric Machines and Control,2013,17(4):104-109.
[14] 韩璞,李潇培.循环流化床主汽温系统的模糊自适应控制[J].计算机仿真,2015,32(5):378-381.HAN Pu,LI Xiao-pei.Fuzzy adaptive control of main steam temperature system in circulating fluidized bed[J].Computer Simulation,2015,32(5):378-381.
[15] 别朝红,王锡凡.蒙特卡洛法在评估电力系统可靠性中的应用[J].电力系统自动化,1997,21(6):68-75.BIE Chao-hong,WANG Xi-fan.Application of Monte Carlo method in evaluating power system reliability[J].Automation of Electric Power Systems,1997,21(6):68-75.
[16] 吴炳晖,袭建军,宫娜,等.基于蒙特卡洛法的结构可靠度预计[J].机械制造,2015,19(6):68-70.WU Bing-hui,XI Jian-jun,GONG Na,et al.Estimation of structural reliability based on Monte Carlo method[J].Machinery,2015,19(6):68-70.