[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.