Piecewise affine modeling and control of a boiler–turbine unit

Natural Computing and Beyond

“…Technologies such as the electroactive microwell array [31] are also required to assess more states of cells, for measurability. Furthermore, for systematic control, a linear approximation of a mathematical model of cells with a synthetic circuit, such as piecewise affine approximation [32], would be required, because a non-linear system is difficult to control systematically. The integration of synthetic biology and control engineering will generate technological breakthroughs in the fields of chemical plants and regeneration therapy.…”

Robust model predictive control for heat exchanger network

“…Explicit MPC design based on a piecewise affine model of a boiler-turbine plant is presented in Ref. [5]. A nonlinear MPC configuration for hyperbolic distributed thermal systems is presented in Ref.…”

L1 adaptive control for improving load-following capability of nonlinear boiler–turbine units in the presence of unknown uncertainties

“…However, the robust control [2,3] e.g., LQG/LTR and H 1 [4,5], are linear approaches and valid to a limited extent. For gain-scheduling control [6,7] and predictive control [8][9][10], it is essential that the developed dynamic models capture the key characteristics of the controlled plant while keeping the model expression suitable for the design of the controllers. Their control performance depends on the dynamic model and thus model design is crucial [18].…”

“…Therefore a lot of research has been done on improving the load-following capability in the presence of wide and rapid load changes. Different kinds of advanced control approaches have been developed, such as robust and optimal control [2][3][4][5], gain-scheduling control [6,7], multivariable model predictive control [8][9][10], genuine nonlinear control [11][12][13][14], and intelligent control [15][16][17], and have shown their best performance in wide-range operations rather than conventional methods in literature. Some of these approaches have been applied on the units in service e.g., the dynamic matrix control.…”

“…To achieve such a demand, it is essential to improve the robustness, rapidness and stability margins in boiler-turbine control systems. The control methods in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] mainly deal with the nonlinearity, but lack regard to time-variant uncertainties. The L 1 adaptive control is a class of robust adaptive control methods which offers its own set of attractive features, including fast and robust adaptation.…”