Abstract:
In the flue gas desulfurization control system, the pH value of the absorption tower slurry plays a vital role in the desulfurization efficiency of the system. Aiming at ...Show MoreMetadata
Abstract:
In the flue gas desulfurization control system, the pH value of the absorption tower slurry plays a vital role in the desulfurization efficiency of the system. Aiming at the non-linearity and large lag of the slurry pH change process in the wet flue gas desulfurization (WFGD) process, a model predictive control (MPC) method based on the dynamic matrix control (DMC) algorithm is designed to realize the precise tracking control of the slurry pH value. The simulation results show that, compared with the traditional PID control algorithm, the MPC method based on the DMC algorithm has better tracking ability and higher control accuracy for the setting inputs and fluctuations of the slurry pH value. This method could further satisfies the system real-time control requirements. In addition, the model predictive control method can effectively suppress the stochastic interference in the WFGD process, and enhance the stability and anti-interference ability of the system.
Published in: 2021 33rd Chinese Control and Decision Conference (CCDC)
Date of Conference: 22-24 May 2021
Date Added to IEEE Xplore: 30 November 2021
ISBN Information: