2D robust constrained model predictive output feedback control for batch processes under particle swarm algorithm
WANG Li-min
JIA Lin-zhu
ZHANG Wang-xi
ZHANG Ri-dong
GAO Fu-rong
Abstract：To solve the problems of uncertainty,time delay,input and output constraints and state unpredictability of batch processes effectively,a 2D robust constrained model predictive output feedback control method based on particle swarm algorithm(PSO)is proposed in this paper.Firstly,an equivalent closed-loop prediction model with extended dimen-sion is constructed by introducing extended information.Next,the optimization performance index function with terminal constraints is constructed to study the system's control optimization problem.Moreover,the Lyapunov function depending on the upper and lower bounds of the time delay is designed,the optimization problem is then converted into the solution problem of the linear matrix inequalities(LMIs)according to the stability theory.And the sufficient conditions for robust asymptotic stability of the closed-loop system under repetitive and nonrepetitive disturbances are discussed and the corre-sponding output feedback controllers are designed.Then,the PSO algorithm is used to optimize the system again to find a better solution.Finally,the simulation experiment of the injection process verifies the effectiveness of the designed method.
Keywords：batch processestime delayparticle swarm optimization algorithmmodel predictive controloutput feedback
Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 827-836 )