Open AccessControl of Nonlinear Active Suspension System Based on Fuzzy Model Predictive Controller
Author(s) -
Mustefa Jibril,
Messay Tadese,
Nuriye Hassen
Publication year - 2022
Publication title -
journal of theory and practice of engineering science
Language(s) - English
Resource type - Journals
ISSN - 2790-1505
DOI - 10.53469/jtpes.2022.02(02).01
Subject(s) - control theory (sociology) , model predictive control , active suspension , nonlinear system , suspension (topology) , fuzzy logic , engineering , matlab , controller (irrigation) , fuzzy control system , control engineering , computer science , control (management) , mathematics , actuator , artificial intelligence , physics , agronomy , quantum mechanics , homotopy , pure mathematics , electrical engineering , biology , operating system
Recent years, active suspension system has been widely used in automobiles to improve the road holding ability and the riding comfort. This article presents a new fuzzy model predictive control for a nonlinear quarter car active suspension system. A nonlinear dynamical model of active suspension is established, where the nonlinear dynamical characteristic of the spring and damper are considered. Based on the proposed fuzzy model predictive control method is presented to stabilize the displacement of the active suspension in the presence of different road profiles. Parameters of the model predictive and Fuzzy logic control laws are designed to estimate the (Bump and Sinusoidal) road profile input in the active suspension. At last, the reliability of the fuzzy model predictive control method is evaluated by the MATLAB simulation tool. Simulation result shows that the fuzzy model predictive control method obtained the satisfactory control performance for the active suspension system.