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uncertainty and disturbance estimator-based model predictive control for wet flue gas desulphurization system

Chinese Journal of Chemical Engineering 2024年第3期67卷 182-194页

作者： Shan Liu Wenqi Zhong Li Sun Xi Chen Rafal Madonski School of Energy and Environment Key Laboratory of Energy Thermal Conversion and Control of Ministry of EducationSoutheast UniversityNanjing 210096China Faculty of Automatic Control Electronics and Computer ScienceSilesian University of TechnologyGliwise 44-100Poland

Wet flue gas desulphurization technology is widely used in the industrial process for its capability of efficient pollution removal.The desulphurization control system,however,is subjected to complex reaction mechanisms and severe disturbances,which make for it difficult to achieve certain practically relevant control goals including emission and economic performances as well as system robustness.To address these challenges,a new robust control scheme based on uncertainty and disturbance estimator(UDE)and model predictive control(MPC)is proposed in this paper.The UDE is used to estimate and dynamically compensate acting disturbances,whereas MPC is deployed for optimal feedback regulation of the resultant dynamics.By viewing the system nonlinearities and unknown dynamics as disturbances,the proposed control framework allows to locally treat the considered nonlinear plant as a linear one.The obtained simulation results confirm that the utilization of UDE makes the tracking error negligibly small,even in the presence of unmodeled dynamics.In the conducted comparison study,the introduced control scheme outperforms both the standard MPC and PID(proportional-integral-derivative)control strategies in terms of transient performance and robustness.Furthermore,the results reveal that a lowpass-filter time constant has a significant effect on the robustness and the convergence range of the tracking error.

关键词： Desulphurization system disturbance rejection Model predictive control uncertainty and disturbance estimator Nonlinear system

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Prescribed fast tracking control for flexible air-breathing hypersonic vehicles:An event-triggered case

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Chinese Journal of Aeronautics 2021年第11期34卷 200-215页

作者： Xingling SHAO Yi SHI Wendong ZHANG Jiang ZHAO The Key Laboratory of Instrumentation Science&Dynamic Measurement Ministry of EducationNorth University of ChinaTaiyuan 030051China School of Instrument and Electronics North University of ChinaTaiyuan 030051China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

In this paper,a prescribed fast tracking control scheme is proposed for Flexible Airbreathing Hypersonic Vehicles(FAHV)subject to lumped disturbances and limited resources.To maintain tracking errors of velocity and altitude converge to a predefined region with a prescribed time and release the transient intense fluctuations encountered in classical Prescribed Performance Control(PPC)using a fast decaying rate,a tracking differentiator-based PPC is presented,where the reaching time and the maximum time differentiation of preselected envelopes can be regulated as a prior via fixing an acceleration factor,so that a guaranteed fast convergence speed can be realized with reduced oscillations.Besides,to avoid the excessive occupation of limited resources(energy and communication)and guarantee a remarkable tracking accuracy,switching event-triggered mechanisms are constructed for FAHV control realization,which provide a promising way to pursue a desired level of tracking performance with a low energy consumption.Subsequently,uncertainty and disturbance estimators(UDE)and Sigmoid function-based Tracking Differentiators(STD)are employed to provide disturbance estimation and reference derivation with a low computational complexity.Finally,robust control laws are designed to compensate for the sampling error induced by event-triggered conditions,meanwhile Zeno phenomena can be effectively eliminated.The simulation results and comparisons validate the effectiveness of the proposed scheme.

关键词： Flexible air-breathing hypersonic vehicle Prescribed performance control Switching event-triggered Tracking differentiator uncertainty and disturbance estimator

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UDE-based Robust Control for a Class of Nonaffine Nonlinear Systems with Uncertainties and Output Constraint

UDE-based Robust Control for a Class of Nonaffine Nonlinear ...

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第40届中国控制会议

作者： Tian Chen Sainan Zhang Shuzhi Sam Ge School of Computer Science and Engineering Center for RoboticsUniversity of Electronic Science and Technology of China Department of Mechanical Engineering Biomechatronics and Intelligent Roboticsthe City College of New York Department of Electrical and Computer Engineering National University of Singaporeand also with the Institute for Center for RoboticsUniversity of Electronic Science and Technology of China

In this paper,we study the robust control problem of a class of nonaffine nonlinear systems based on uncertainty and disturbance estimator（UDE） under unknown system dynamics and output constraint.A proposed UDE control method is used to estimate uncertainties that contain the uncertainty of parameters.The prominent feature of UDE is to avoid the construction of inverse operators.The control design requires only the bandwidth information of uncertainty.Moreover,the barrier Lyapunov function（BLF） is used directly to address the problem of output constraint.The remarkable feature of the BLF compared to the Lyapunov function based on pure tracking error is to relax the feasible initial output signal to the whole constraint range.Based on the control of UDE,by using Lyapunov’s stability theory,the consistent boundary of the closed-loop system is obtained.Through the simulation studies of model uncertainty and external disturbance,the validity of the proposed UDE-based control method is proved and compared with the traditional UDE control method.

关键词： Nonaffine Nonlinear Systems uncertainty and disturbance estimator Barrier Lyapunov Function

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