|Table of Contents|

[1] Zhu Jianzhong, Wu Xiao, Shen Jiong, et al. ESO-based decoupling control with multi-objective optimizationfor boiler-turbine unit [J]. Journal of Southeast University (English Edition), 2019, 35 (1): 64-71. [doi:10.3969/j.issn.1003-7985.2019.01.010]
Copy

ESO-based decoupling control with multi-objective optimizationfor boiler-turbine unit()
机炉协调系统的扩增状态观测器解耦控制及多目标优化策略
Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
35
Issue:
2019 1
Page:
64-71
Research Field:
Energy and Power Engineering
Publishing date:
2019-03-30

Info

Title:
ESO-based decoupling control with multi-objective optimizationfor boiler-turbine unit
机炉协调系统的扩增状态观测器解耦控制及多目标优化策略
Author(s):
Zhu Jianzhong1;  2;  Wu Xiao1;  Shen Jiong1
1Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
2School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
朱建忠1;  2;  吴啸1;  沈炯1
1东南大学能源热转换及其过程测控教育部重点实验室, 南京 210096; 2南京工程学院电力工程学院, 南京211167
Keywords:
boiler-turbine unit;  extended state observer(ESO);  decoupling control;  multi-objective optimization
单元机组;  扩增观测器;  解耦控制;  多目标优化
PACS:
TK321
DOI:
10.3969/j.issn.1003-7985.2019.01.010
Abstract:
A model-assistant extended state observer(MESO)-based decoupling control strategy is proposed for boiler-turbine units in the presence of unknown external disturbance and model-plant mismatch. For ease of implementation, the decoupling compensator is reduced to the proportion integration(PI)decoupler with the frequency domain analysis, where the decoupling error in collusion of uncertainties and disturbances can be estimated by the proposed MESO and then compensated. To decrease the sensitivity of the dynamic error for the decoupling control and fulfill various requirements of constraints, such as safety operation, energy conservation, emission reduction, etc., the plant is transmitted through a scheduled steady state region which is achieved from the optimized reference governor in advance. Simulation results show that the proposed control strategy can well suppress various disturbances including a decoupling error, and multi-objective optimization can meet multiple requirements with the premise of safety production.
面对机炉协调系统出现的未知外部扰动及模型失配问题, 提出了基于模型参考的扩增状态观测器的解耦控制策略.其解耦补偿器被简化成可以付诸实施的PI形式的解耦器并在频域下得到验证.而且, 解耦误差以及模型不确定性、外部扰动可以被该观测器估计出来, 并通过反馈控制器加以补偿.为了降低解耦器对模型误差的敏感度, 同时满足诸如安全生产操作、节能减排等更多目标, 设计的参考管理器可将被控对象的跟踪设定值优化在平衡点附近.仿真结果表明, 所提控制策略可以很好地抑制包含解耦误差在内的多种扰动, 同时多目标优化策略可以满足以安全生产为前提的多种要求.

References:

[1] Sun L, Hua Q S, Li D H, et al. Direct energy balance based active disturbance rejection control for coal-fired power plant[J]. ISA Transactions, 2017, 70: 486-493. DOI:10.1016/j.isatra.2017.06.003.
[2] Sun L, Li D H, Hu K T, et al. On tuning and practical implementation of active disturbance rejection controller: A case study from a regenerative heater in a 1000 MW power plant[J]. Industrial & Engineering Chemistry Research, 2016, 55(23): 6686-6695. DOI:10.1021/acs.iecr.6b01249.
[3] Chen P C, Shamma J S. Gain-scheduled l1-optimal control for boiler-turbine dynamics with actuator saturation[J]. Journal of Process Control, 2004, 14(3): 263-277. DOI:10.1016/S0959-1524(03)00040-4.
[4] Dettori S, Iannino V, Colla V, et al. An adaptive fuzzy logic-based approach to PID control of steam turbines in solar applications[J]. Applied Energy, 2018, 227: 655-664. DOI:10.1016/j.apenergy.2017.08.145.
[5] Tan W, Marquez H J, Chen T W, et al. Analysis and control of a nonlinear boiler-turbine unit [J] Journal of Process Control, 2005, 15(8): 883-891.DOI:10.1016/j.jprocont.2005.03.007.
[6] Zhang R D, Xue A K, Wang S Q, et al. An improved model predictive control approach based on extended non-minimal state space formulation[J]. Journal of Process Control, 2011, 21(8): 1183-1192. DOI:10.1016/j.jprocont.2011.06.009.
[7] Wu X, Shen J, Li Y G, et al. Data-driven modeling and predictive control for boiler-turbine unit using fuzzy clustering and subspace methods[J]. ISA Transactions, 2014, 53(3): 699-708. DOI:10.1016/j.isatra.2013.12.033.
[8] Fu C F, Tan W. Decentralized active disturbance rejection control for a benchmark boiler[C]// 2015 IEEE 10th Conference on Industrial Electronics and Applications(ICIEA). Auckland, New Zealand, 2015:15617278. DOI:10.1109/ICIEA.2015.7334364.
[9] Wu X, Shen J, Li Y G, et al. Hierarchical optimization of boiler-turbine unit using fuzzy stable model predictive control[J]. Control Engineering Practice, 2014, 30: 112-123. DOI:10.1016/j.conengprac.2014.03.004.
[10] Zhang F, Wu X, Shen J. Extended state observer based fuzzy model predictive control for ultra-supercritical boiler-turbine unit[J]. Applied Thermal Engineering, 2017, 118: 90-100. DOI:10.1016/j.applthermaleng.2017.01.111.
[11] Han J Q. From PID to active disturbance rejection control[J]. IEEE Transactions on Industrial Electronics, 2009, 56(3): 900-906. DOI:10.1109/tie.2008.2011621.
[12] Shao X L, Wang H L. Back-stepping active disturbance rejection control design for integrated missile guidance and control system via reduced-order ESO[J]. ISA Transactions, 2015, 57: 10-22. DOI:10.1016/j.isatra.2015.02.013.
[13] Wu J S, Chen S L, He Z R, et al. On disturbance rejection of load simulator using model-based ESO[C]//2018 IEEE 14th International Conference on Control and Automation(ICCA). Anchorage, AK, USA, 2018. DOI:10.1109/ICCA.2018.8444356.
[14] Nguyen H T, Jung J W. Disturbance-rejection-based model predictive control:Flexible-mode design with a modulator for three-phase inverters[J]. IEEE Transactions on Industrial Electronics, 2018, 65(4): 2893-2903. DOI:10.1109/tie.2017.2758723.
[15] Zhao H R, Shen J, Li Y G, et al. A stable multi-objective economic MPC scheme for boiler-turbine units[J]. IFAC—Papers on Line, 2017, 50(1): 11070-11075. DOI:10.1016/j.ifacol.2017.08.2489.
[16] Garrido J, Morilla F, Vazquez F. Centralized PID control by decoupling of a boiler-turbine unit[C]//2009 European Control Conference(ECC). Budapest, Hungary, 2009: 15034773. DOI: 10.23919/ECC.2009.7075027.

Memo

Memo:
Biographies: Zhu Jianzhong(1981—), male, Ph.D. candidate; Shen Jiong(corresponding author), male, doctor, professor, shenj@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51576041, 51506029).
Citation: Zhu Jianzhong, Wu Xiao, Shen Jiong. ESO-based decoupling control with multi-objective optimization for boiler-turbine unit[J].Journal of Southeast University(English Edition), 2019, 35(1):64-71.DOI:10.3969/j.issn.1003-7985.2019.01.010.
Last Update: 2019-03-20