针对以机理建模为基础,采用PID策略的机炉协调系统在舰船运行期间无法平衡锅炉侧和汽机侧运行特性差异的问题,提出采用T-S模糊建模方法建立舰船协调系统模型,并基于该模型制定多模型预测控制加权策略,利用多模型广义预测控制方法设计协调控制器。仿真试验结果表明,基于多模型广义预测控制的舰船机炉协调控制系统响应速度更快、调节时间更短、稳定性更高、鲁棒性更强、综合控制效果更加优良,可有效提高蒸汽动力装置整体性能。
Aiming at the problem that the coordinated system based on mechanism modeling uses PID strategy cannot balance the differences in the operating characteristics of the boiler side and the steam turbine side during ship operation, a T-S fuzzy modeling method was proposed to establish a ship coordination system model,and based on the model, a multi-model predictive control weighting strategy was formulated, and uses a multi-model generalized predictive control method to design a coordinated controller. The results show that the coordinated control system based on the multi-model generalized predictive control has faster response speed, shorter adjustment time, higher stability, stronger robustness, better overall control effect, and can effectively improve the overall performance of the steam power plant.
2023,45(14): 134-140 收稿日期:2022-10-27
DOI:10.3404/j.issn.1672-7649.2023.14.025
分类号:U664.1
作者简介:郭玉琪(1994-),女,硕士,研究实习员,研究方向为舰船动力系统。
参考文献:
[1] 张倩. 船用动力装置机炉协调控制系统优化设计[D]. 哈尔滨: 哈尔滨工程大学, 2009.
[2] 任立永. 船舶动力装置机炉协调控制技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2008.
[3] 丁春辉. 基于神经内模控制算法的船舶蒸汽动力装置协调控制研究[D]. 哈尔滨: 哈尔滨工程大学, 2010.
[4] 谢春甫. 提升火电机组灵活性的机炉协调控制优化研究[D]. 哈尔滨: 哈尔滨工业大学, 2018.
[5] 张兴华. 锅炉-汽轮机机炉协调控制系统在火电厂中的应用[J]. 江西建材, 2016(17): 221+225.
ZHANG Xinghua. Application of boiler turbine boiler coordinated control system in thermal power plants [J]. Jiangxi Building Materials, 2016(17):221+225.
[6] 张帆. 多目标非线性预测控制及其在机炉协调优化控制中的应用研究[D]. 南京: 东南大学, 2017.
[7] 柳善建. 基于仿射模糊模型的复杂热工过程跟踪控制方法研究[D]. 南京: 东南大学, 2015.
[8] 袁桂丽, 陆斯悦. 单元机组协调控制系统综合性能评价[J]. 动力工程学报, 2017, 37(11): 895-902.
YUAN Guili, LU Siyue. Comprehensive performance evaluation of coordinated control system for unit [J]. Journal of Power Engineering, 2017, 37(11): 895-902.
[9] 阮浩. 多模型控制研究及其在机炉协调系统中的应用[D]. 南京: 东南大学, 2016.
[10] 吴国垣, 李东海, 薛亚丽. 机炉协调控制的分散PID整定[J]. 清华大学学报(自然科学版), 2004, 44(2): 262-265.
WU Guoyuan, LI Donghai, XUE Yali. Decentralized PID tuning for coordinated control of machines and boilers [J]. Journal of Tsinghua University (natural science edition), 2004, 44(2): 262-265.
[11] 张帆, 吴啸, 沈炯. 超超临界机组机炉协调系统的模糊抗扰动预测控制(英文)[J]. 东南大学学报: 2017, 33(01): 53-58.
ZHANG Fan, WU Xiao, SHEN Jiong. Fuzzy disturbance rejection predictive control of ultra-supercritical once-through boiler-turbine unit [J].Journal of Southeast University, 2017, 33(1): 53-58.
[12] 张铁军, 吕剑虹, 华志刚. 机炉协调系统的模糊增益调度预测控制[J]. 中国电机工程学报, 2005(4): 160-167.
ZHANG Tiejun, LV Jianhong, HUA Zhigang. Fuzzy gain scheduling predictive control for machine furnace coordination system [J]. Proceeding of the CSEE, 2005(4): 160-167.
[13] 潘晖, 张冀, 缪伟彬. 面向广义预测控制的协调控制系统建模与控制[J]. 上海电力学院学报, 2019, 35(5): 465-471.
PAN Hui, ZHANG Yi, MIU Weibin. Modeling and control of coordinated control systems for generalized predictive control [J]. Journal of Shanghai University of Electric Power, 2019, 35(5): 456-471.
[14] 杨优生, 王东风, 智丹. 基于动态模糊神经网络的机炉协调系统建模[J]. 电力科学与工程, 2017, 33(7): 58-63.
YANG Yousheng, WANG Dongfeng, ZHI Dan. Modeling of machine furnace coordination system based on dynamic fuzzy neural network [J]. Electric Power Science and Engineering, 2017, 33(7): 58-63.