Open AccessImproved differential evolution LQG control of active suspension
Author(s) -
Depeng Jin,
Feifei Liu
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 - 10.1088/1742-6596/1966/1/012030
Subject(s) - linear quadratic gaussian control , control theory (sociology) , active suspension , suspension (topology) , controller (irrigation) , matlab , linear quadratic regulator , acceleration , optimal projection equations , optimal control , engineering , computer science , control engineering , mathematics , control (management) , actuator , mathematical optimization , physics , agronomy , classical mechanics , artificial intelligence , homotopy , pure mathematics , biology , operating system , electrical engineering
Aiming at the problem that the value of weighted matrix Q and R in linear quadratic optimal control (LQG) controller depends on the designer’s experience, adaptive differential evolution (JADE) algorithm with optional external archive is introduced to optimize the control parameters of LQG, so as to improve the performance of LQG controller. The dynamics model of 1/4 vehicle active suspension was established as the object, and the LQG objective function was constructed. The simulation experiments were carried out on B-class and C-class roads with the help of Matlab/Simulink.The experimental results show that the RMS values of the vertical acceleration of the vehicle body, the dynamic travel of the suspension and the dynamic displacement of the tire of the active suspension based on JADE optimized LQG controller under different road surfaces are reduced to a large extent compared with that of the passive suspension, which improves the stability of the vehicle and the comfort of the ride.