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Design & application of adaptive variable structure & H∞ robust optimal schemes in nonlinear control of boiler-turbine unit in the presence of various uncertainties

Ghabraei, S ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1016/j.energy.2017.10.089
  3. Publisher: Elsevier Ltd , 2018
  4. Abstract:
  5. In this article, to improve the precision, performance and robustness of an industrial boiler-turbine, two robust controllers are designed. First, a robust adaptive variable structure control scheme (RAVSC) is proposed to control a nonlinear multi-inputs multi-outputs (MIMO) model of an industrial boiler-turbine unit, in the presence of significant uncertainties and external disturbances. To guarantee the reliable performance of the RAVSC, appropriate adaption and control laws are introduced to compensate the uncertainties and modeling imprecisions and guarantee the convergence to the sliding surface. Then, the robustness and stability of the proposed RAVSC is proved via Lyapunov stability theory. Moreover, a robust H∞ controller is designed based on μ−DKiteration, with assumption of presence rational deviation in parameters and suitable weights to attenuate the control signals. To investigate the performance of proposed control schemes, simulation studies are carried out on nonlinear dynamic model in the presence of various uncertainties. Then, the performance of designed robust controllers exposed to discussion which reveals the satisfactory performance of the both proposed controllers. However, it is observed that RAVSC has some minor advantages over the robust H∞ controller. © 2017 Elsevier Ltd
  6. Keywords:
  7. Boiler-turbine ; Modelling imprecisions ; Multivariable control ; Parameters uncertainty ; Boiler control ; Boilers ; Optimization ; Robustness (control systems) ; Structural design ; Turbines ; Uncertainty analysis ; Variable structure control ; Adaptive variable structure ; Boiler turbines ; External disturbances ; Lyapunov stability theory ; Parameters uncertainties ; Reliable performance ; Robust performance ; Controllers ; Control system ; Model ; Modeling ; Nonlinearity ; Performance assessment ; Turbine
  8. Source: Energy ; Volume 142 , 2018 , Pages 1040-1056 ; 03605442 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0360544217317942