Open AccessOptimization and Simulation of DMC Algorithm with Terminal Weight Based on LQR Controller
Author(s) -
Kai Tian,
Zhongjun Xiao,
Peng Ji
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1961/1/012044
Subject(s) - multivariable calculus , weighting , control theory (sociology) , matrix (chemical analysis) , computer science , controller (irrigation) , algorithm , terminal (telecommunication) , function (biology) , mathematical optimization , mathematics , control (management) , engineering , control engineering , medicine , telecommunications , agronomy , materials science , artificial intelligence , evolutionary biology , biology , composite material , radiology
Based on the multivariable dynamic matrix control algorithm, there are many similarities between the dynamic matrix control algorithm and LQR in the form of state equation, state variable and objective function. We can use the objective function of LQR to improve the objective function of DMC and improve the control effect of the system. Using the given mathematical model, the terminal weighting matrix of LQR is applied to DMC algorithm, and the optimized multivariable dynamic matrix control algorithm is simulated. The results show that the algorithm can effectively reduce the response time of the system, make the system sink faster and reach the given value faster.