Title :
Adaptive control of suspension based on Fuzzy logic gain scheduling
Author :
Xu, Gui-hong ; Sun, Tao
Author_Institution :
University of Shanghai for Science and Technology, College of Mechanical Engineering, Institute of Automotive Engineering, Shanghai, China
Abstract :
The new control algorithm combining LQG and Fuzzy logic controller (LFLC) adapted to vehicle speed and road conditions is proposed to compromise the classical suspension conflict between ride comfort, handling and packaging requirements. Tracking the signals of the suspension working space and body acceleration that vary sharply with the variation of road conditions and vehicle speed, LFLC can regulate the weights of the performance indexes dynamically to schedule the gain of the LQG controller for achieving multiple control objectives. Compared with the passive suspension and the conventional LQG control system, the simulation results demonstrate that LFLC can improve effectively the ride comfort and safe drivability at different speeds or road conditions without violating the given suspension deflection limit.
Keywords :
Barium; Indexes; Least squares approximation; Roads; compromise; conflict; regulate; weights;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2010 IEEE International Conference on
Conference_Location :
QingDao, China
Print_ISBN :
978-1-4244-7124-9
DOI :
10.1109/ICVES.2010.5550953
