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• W4313677451 endingPage "103831" @default.
• W4313677451 startingPage "103831" @default.
• W4313677451 abstract "Coal-fired power plant integrated with post-combustion carbon capture (CFPP-PCC) process exhibits strong nonlinearity and multi-variable connections. These dynamics along with unknown disturbances make it a challenging task to realize robust control and flexible operation in CFPP-PCC system. For this reason, this paper develops an extended state observer based stable model predictive control (ESOSMPC) in order to reject unknown disturbances and to achieve flexible operation with closed-loop stability. In the proposed control structure, an extended state observer is utilized to give accurate estimation for plant behavior change and unknown disturbances. This information will be used in active disturbance rejection, which aims to alleviate negative effects of disturbances and to enhance control performance. Stable model predictive control with infinite input-output based objective function is developed in order to fulfill Lyapunov stability condition, guaranteeing a stable operation for the integrated process. The proposed controller is compared with conventional MPC/PID controller under varying working conditions. Simulation results show that the presented ESOSMPC is able to achieve robust control in a multi-disturbance situation and to attain flexible operation in a broad-range load variation scenario." @default.
• W4313677451 created "2023-01-08" @default.
• W4313677451 creator A5001786564 @default.
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• W4313677451 date "2023-02-01" @default.
• W4313677451 modified "2023-09-29" @default.
• W4313677451 title "Robust control and flexible operation for commercial-scale coal-fired power plant with solvent-based post-combustion carbon capture" @default.
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• W4313677451 doi "https://doi.org/10.1016/j.ijggc.2023.103831" @default.
• W4313677451 hasPublicationYear "2023" @default.
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