The present paper aims at validating a Model Predictive Control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic Systems(HDSs)that explicitly involve continuous dynamics and discrete events.The p...The present paper aims at validating a Model Predictive Control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic Systems(HDSs)that explicitly involve continuous dynamics and discrete events.The proposed benchmark system is a three-tank process,which is a typical case study of HDSs.The MLD-MPC controller is applied to the level control of the considered tank system.The study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating constraints.This feature of MLD modeling is very advantageous when an MPC controller synthesis for the HDSs is designed.Once the MLD model of the system is well-posed,then the MPC law synthesis can be developed based on the Mixed Integer Programming(MIP)optimization problem.For solving this MIP problem,a Branch and Bound(B&B)algorithm is proposed to determine the optimal control inputs.Then,a comparative study is carried out to illustrate the effectiveness of the proposed hybrid controller for the HDSs compared to the standard MPC approach.Performances results show that the MLD-MPC approach outperforms the standardMPCone that doesn’t consider the hybrid aspect of the system.The paper also shows a behavioral test of the MLDMPC controller against disturbances deemed as liquid leaks from the system.The results are very satisfactory and show that the tracking error is minimal less than 0.1%in nominal conditions and less than 0.6%in the presence of disturbances.Such results confirm the success of the MLD-MPC approach for the control of the HDSs.展开更多
In order to improve monitoring performance of dynamic process,a moving window independent component analysis method with adaptive threshold(MWAT-ICA)is proposed.On-line fault detection can be realized by applying movi...In order to improve monitoring performance of dynamic process,a moving window independent component analysis method with adaptive threshold(MWAT-ICA)is proposed.On-line fault detection can be realized by applying moving windows technique,as well as false alarm caused by fluctuation of data can be effectively avoided by adaptive threshold.The efficiency of the proposed approach is demonstrated with a three-tank system.The results show that the MWAT-ICA can not only detect the fault quickly,but also has a high fault detection rate and no false alarm rate under the transient behaviors of the three-water tank and the normal operation process.These results demonstrate the effectiveness of the method for fault detection on the three-tank system.展开更多
文摘The present paper aims at validating a Model Predictive Control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic Systems(HDSs)that explicitly involve continuous dynamics and discrete events.The proposed benchmark system is a three-tank process,which is a typical case study of HDSs.The MLD-MPC controller is applied to the level control of the considered tank system.The study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating constraints.This feature of MLD modeling is very advantageous when an MPC controller synthesis for the HDSs is designed.Once the MLD model of the system is well-posed,then the MPC law synthesis can be developed based on the Mixed Integer Programming(MIP)optimization problem.For solving this MIP problem,a Branch and Bound(B&B)algorithm is proposed to determine the optimal control inputs.Then,a comparative study is carried out to illustrate the effectiveness of the proposed hybrid controller for the HDSs compared to the standard MPC approach.Performances results show that the MLD-MPC approach outperforms the standardMPCone that doesn’t consider the hybrid aspect of the system.The paper also shows a behavioral test of the MLDMPC controller against disturbances deemed as liquid leaks from the system.The results are very satisfactory and show that the tracking error is minimal less than 0.1%in nominal conditions and less than 0.6%in the presence of disturbances.Such results confirm the success of the MLD-MPC approach for the control of the HDSs.
基金the Fundamental Research Funds for the Central Universities,Wuhan University of Technology(No.2017II41GX)。
文摘In order to improve monitoring performance of dynamic process,a moving window independent component analysis method with adaptive threshold(MWAT-ICA)is proposed.On-line fault detection can be realized by applying moving windows technique,as well as false alarm caused by fluctuation of data can be effectively avoided by adaptive threshold.The efficiency of the proposed approach is demonstrated with a three-tank system.The results show that the MWAT-ICA can not only detect the fault quickly,but also has a high fault detection rate and no false alarm rate under the transient behaviors of the three-water tank and the normal operation process.These results demonstrate the effectiveness of the method for fault detection on the three-tank system.
