|Table of Contents|

[1] Zhang Fan, Wu Xiao, Shen Jiong,. Fuzzy disturbance rejection predictive controlof ultra-supercritical once-through boiler-turbine unit [J]. Journal of Southeast University (English Edition), 2017, 33 (1): 53-58. [doi:10.3969/j.issn.1003-7985.2017.01.009]

Fuzzy disturbance rejection predictive controlof ultra-supercritical once-through boiler-turbine unit()

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

2017 1
Research Field:
Computer Science and Engineering
Publishing date:


Fuzzy disturbance rejection predictive controlof ultra-supercritical once-through boiler-turbine unit
Zhang Fan Wu Xiao Shen Jiong
Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
ultra-supercritical power plant model predictive control fuzzy control extended state observer
In order to overcome the wide-range load tracking and unknown disturbance issues of an ultra-supercritical boiler-turbine unit, a fuzzy disturbance rejection predictive control approach is proposed using the techniques of fuzzy scheduling, model predictive control and extended state observer. Local state-space models are established on the basis of nonlinearity analysis and subspace identification. To enhance the disturbance rejection capability of the controller, an extended state observer is employed to estimate unknown disturbances and model mismatches. The disturbance estimation enhanced local predictive controllers are subsequently devised based on the local models, the performance of which is further strengthened by incorporating the fuzzy scheduling technique. The simulation results verify the merits of the proposed strategy in achieving satisfactory wide-range load tracking and disturbance rejection performance.


[1] Wu X, Shen J, Li Y, et al. Steam power plant configuration, design, and control[J]. Wiley Interdisciplinary Reviews: Energy and Environment, 2015, 4(6): 537-563. DOI: 10.1002/wene.161.
[2] Hou G, Xi Y, Liu J, et al. Simulation research of the multi-variable generalized predictive control in 500 MW unit plant coordinated control system[C]//The 2011 International Conference on Advanced Mechatronic Systems. Zhengzhou, China, 2011: 196-201.
[3] Liu X, Guan P, Chan C. Nonlinear multivariable power plant coordinate control by constrained predictive scheme[J]. IEEE Transactions on Control Systems Technology, 2010, 18(5): 1116-1125. DOI: 10.1109/TCST.2009.2034640.
[4] Wu X, Shen J, Li Y, 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.
[5] Wu X, Shen J, Li Y, et al. Fuzzy modeling and stable model predictive tracking control of large-scale power plants[J]. Journal of Process Control, 2014, 24(10): 1609-1626. DOI: 10.1016/j.jprocont.2014.08.007.
[6] Wu X, Shen J, Li Y, 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.
[7] Dong J, Sun L, Li D. Flexible active disturbance rejection control for boiler-turbine unit[J]. Journal of Central South University(Science and Technology), 2015, 46(9): 3503-3512.
[8] Tan W, Fang J, Fu C. Linear active disturbance rejection controllers(LADRC)for boiler-turbine units[C]//32nd Chinese Control Conference. Xi’an, China, 2013: 5339-5344.
[9] Zhang R Q, Ma L Y, Ma Y G, et al. Active disturbance rejection control of once-through boiler unit coordinated system based on pseudo-diagonalization[C]//2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan(SICE). Hangzhou, China, 2015: 928-933. DOI: 10.1109/SICE.2015.7285555.
[10] Madoński R, Herman P. Survey on methods of increasing the efficiency of extended state disturbance observers[J]. ISA Transactions, 2015, 56: 18-27. DOI: 10.1016/j.isatra.2014.11.008.
[11] Liu J Z, Yan S, Zeng D L, et al. A dynamic model used for controller design of a coal fired once-through boiler-turbine unit[J]. Energy, 2015, 93, Part 2: 2069-2078. DOI: 10.1016/j.energy.2015.10.077.
[12] Anderson B D, Brinsmead T S, De Bruyne F, et al. Multiple model adaptive control. Part 1: Finite controller coverings[J]. International Journal of Robust and Nonlinear Control, 2000, 10(11/12): 909-929. DOI: 10.1002/1099-1239(200009/10)10:11/12<909::AID-RNC532>3.0.CO;2-Z.
[13] van Overschee P, de Moor B. Subspace identification for linear systems: Theory, implementation, applications[M]. Springer Science & Business Media, 2012. DOI: 10.1007/978-1-4613-0465-4.
[14] Feng G. A survey on analysis and design of model-based fuzzy control systems[J]. IEEE Transactions on Fuzzy Systems, 2006, 14(5): 676-697. DOI: 10.1109/TFUZZ.2006.883415.
[15] Wang G, Yan W, Chen S, et al. Multi-model predictive control of ultra-supercritical coal-fired power unit[J]. Chinese Journal of Chemical Engineering, 2014, 22(7): 782-787. DOI: 10.1016/j.cjche.2014.05.005.
[16] Zhang R, Xue A, Wang S, 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.
[17] Li S, Yang J, Chen W H, et al. Generalized extended state observer based control for systems with mismatched uncertainties[J]. IEEE Transactions on Industrial Electronics, 2012, 59(12): 4792-4802. DOI: 10.1109/TIE.2011.2182011.


Biographies: Zhang Fan(1986—), male, graduate; Shen Jiong(corresponding author), male, doctor, professor, shenj@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.51506029, 51576041), the Natural Science Foundation of Jiangsu Province(No.BK20150631), China Postdoctoral Science Foundation.
Citation: Zhang Fan, Wu Xiao, Shen Jiong. Fuzzy disturbance rejection predictive control of ultra-supercritical once-through boiler-turbine unit[J].Journal of Southeast University(English Edition), 2017, 33(1):53-58.DOI:10.3969/j.issn.1003-7985.2017.01.009.
Last Update: 2017-03-20