DMC-PID cascade control for MEA-based post-combustion CO2 capture process

Zhang, Wenzhao; Ma, Chenbin; Li, Haifeng; Xuan, Liangyu; An, Aimin

doi:10.1016/j.cherd.2022.04.030

Cited by 9 publications

(3 citation statements)

References 28 publications

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“…8 (i.e., 𝑒 1 , 𝑥 1 , 𝑥 2 , 𝑥 4 , and 𝑟 2 ) is represented by a pair of chemical species. In order to generate a summation signal 𝑟 2 , signal 𝑥 4 must first be output by signal 𝑒 1 through a proportional block, as shown in (25).…”

Section: B Crns Realization Of Cascade Pid Control Strategies For Sec...mentioning

confidence: 99%

“…For a stable second-order time-delay process, this paper uses the controller parameter tuning method proposed by Siddiqui et al [19] to determine the parameters of the cascade PID controller. In the last few years, cascade control structures have been widely applied in mechanical equipment [22], [23], air systems [24], and chemical processes [25]. But the control methods have not been put to use in regulating biochemical systems.…”

Section: Introductionmentioning

confidence: 99%

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Cascade PID Control Systems Based on DNA Strand Displacement With Application in Polarization of Tumor-Associated Macrophages

Xue

Xiao

et al. 2023

IEEE Access

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Disturbances are widespread in biochemical systems. Nowadays, prevalent single-loop control strategies only take external disturbances into account. However, internal perturbations that threaten the stability of biochemical systems are invariably ignored. In this paper, a DNA strand displacement (DSD)based cascade PID control system is designed. In addition to traditionally realizing the tracking of reference input and the attenuation of primary disturbance, the presented control approach also innovatively completes the rejection of secondary disturbance. Specifically, the dynamics of the reference input signal are first governed by a first-order low-pass filter integrated with cascade PID control systems, which efficiently avoids the excessive response of the cascaded primary and secondary controllers to the reference signal. Then, cascade PID controllers and second-order time-delay plants are constructed by utilizing the chemical reaction network (CRN) and the DSD. In terms of secondary perturbation suppression, the obtained control scheme significantly outperforms the single-loop PID control scheme with a smaller overshoot and faster settling time. Finally, the DSD-based cascade PID control method is applied to regulate gene expressions of interferon regulatory factor 4 (IRF4) and interferon regulatory factor 5 (IRF5) that affect the polarization of tumorassociated macrophages (TAMs). Compared with the single-loop PID control strategy, the control strategy exhibits a better inhibitory effect on IRF5 gene overexpression (internal disturbance) and TAMs endogenous gene expression (external disturbance).INDEX TERMS Cascade PID control systems, chemical reaction networks, DNA strand displacement, secondary disturbance, regulation of tumor-associated macrophage polarization

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Section: B Crns Realization Of Cascade Pid Control Strategies For Sec...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cascade PID Control Systems Based on DNA Strand Displacement With Application in Polarization of Tumor-Associated Macrophages

Xue

Xiao

et al. 2023

IEEE Access

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“…However, its algorithm is complex which is difficult to implement on the distributed control system (DCS) widely used in thermal power plants. Therefore, the MPC is usually combined with the PI or PID controllers (Khan et al, 2017;Zhu et al, 2021;Zhang et al, 2022) to eliminate the dependency on the process model for possible application of MPC to the thermal power plant. The MPC-PID hierarchical control strategy were applied to several subsystems in the thermal power plant, such as the turbine-generator power system (Chen et al, 2020), the selective catalytic reduction system (Zhang K. et al, 2018), the distillation system (Zhu and Butoyi, 2002), and so forth.…”

Section: Introductionmentioning

confidence: 99%

A process-model-free method for model predictive control via a reference model-based proportional-integral-derivative controller with application to a thermal power plant

Shi

et al. 2023

Front. Control Eng.

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Introduction: Model predictive control (MPC) is an advanced control strategy which can achieve fast reference tracking response and deal with process constraints, time delay and multivariable problems. However, thermal processes in coal-fired power plants are usually difficult to model accurately, which limits the application of MPC to thermal power plants.Methods: To solve the problem, this paper proposes a process-model-free method for MPC via a reference model (RM)-based controller, i.e., a desired dynamic equational (DDE) proportional-integral-derivative (PID) controller (DDE-PID).Results and Discussion: The DDE-PID can provide the design model and enhance the disturbance rejection ability for MPC. Simulations and results of field tests on a coal-fired unit show the superiorities of the proposed controller in reference tracking, disturbance rejection and robustness, which indicates the promising prospect of the field application of the MPC with DDE-PID, or MPC-DDE in short, to thermal power plants.

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Online Control and Optimization for Conventional and Emerging Carbon Capture Systems

Patrón,

Ricardez-Sandoval

2024

Reference Module in Materials Science and Materials Engineering

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DMC-PID cascade control for MEA-based post-combustion CO2 capture process

Cited by 9 publications

References 28 publications

Cascade PID Control Systems Based on DNA Strand Displacement With Application in Polarization of Tumor-Associated Macrophages

Cascade PID Control Systems Based on DNA Strand Displacement With Application in Polarization of Tumor-Associated Macrophages

A process-model-free method for model predictive control via a reference model-based proportional-integral-derivative controller with application to a thermal power plant

Online Control and Optimization for Conventional and Emerging Carbon Capture Systems

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