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An Efficient Constrained Model Predictive Control Algorithm Based on Approximate Computation
作者姓名:Du Xiaoning  Xi Yugeng & Li Shaoyuan Institute of Automation  Shanghai Jiaotong University  Shanghai  P.R.China
作者单位:Du Xiaoning,Xi Yugeng & Li Shaoyuan Institute of Automation,Shanghai Jiaotong University,Shanghai 200030,P.R.China
基金项目:ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina (KeyProjectNo . 6 9934 0 2 0,No . 6 0 0 740 0 4) .
摘    要:1 .INTRODUCTIONMostsystemsaresubjecttoconstraintsandthedesignofcontrollersforsuchsystemsisaveryactiveareaofre searchnowadays.Itiswell knownthatmodelpredictivecontrol (MPC) ,alsocalledrecedinghorizoncontrol(RHC) ,hasbeenwidelyandsuccessfullyappliedinprocessi…


An Efficient Constrained Model Predictive Control Algorithm Based on Approximate Computation
Du Xiaoning,Xi Yugeng & Li Shaoyuan Institute of Automation,Shanghai Jiaotong University,Shanghai ,P.R.China.An Efficient Constrained Model Predictive Control Algorithm Based on Approximate Computation[J].Journal of Systems Engineering and Electronics,2002,13(1).
Authors:Du Xiaoning  Xi Yugeng  Li Shaoyuan
Abstract:The on line computational burden related to model predictive control (MPC) of large scale constrained systems hampers its real time applications and limits it to slow dynamic process with moderate number of inputs. To avoid this, an efficient and fast algorithm based on aggregation optimization is proposed in this paper. It only optimizes the current control action at time instant k , while other future control sequences in the optimization horizon are approximated off line by the linear feedback control sequence, so the on line optimization can be converted into a low dimensional quadratic programming problem. Input constraints can be well handled in this scheme. The comparable performance is achieved with existing standard model predictive control algorithm. Simulation results well demonstrate its effectiveness.
Keywords:Model predictive control (MPC)  Receding horizon control (RHC)  Approximate computation  
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