Open AccessSetting Neuro-Fuzzy PID Control In Plant Nonlinear Active Suspension
Author(s) -
Anggara Trisugraha,
Jamaaluddin Jamaaluddin
Publication year - 2018
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 - 10.1088/1742-6596/1114/1/012063
Subject(s) - control theory (sociology) , road surface , active suspension , pid controller , suspension (topology) , nonlinear system , vibration , controller (irrigation) , computer science , fuzzy logic , engineering , control engineering , control (management) , mathematics , artificial intelligence , physics , acoustics , actuator , temperature control , agronomy , civil engineering , quantum mechanics , homotopy , pure mathematics , biology
The main problem in vibration in the vehicle is caused by the road surface. For that reason it is necessary to regulate the vibration of the vehicle suspension directly related to the road surface. Neuro-fuzzy PID controller is used to set the active suspension of the vehicle. The suspension model used is the active suspension quarter-car with nonlinear model. Faulty road surfaces are used as a disturbance in the system, interference changes in amplitude (height / depth) in the range of -25cm to 25cm. The simulation results show the performance of the PID neuro-fuzzy setting method that can overcome 77% of the amount of road noise.