TY - CHAP
T1 - Fuzzy skyhook surface control using micro-genetic algorithm for vehicle suspension ride comfort
AU - Chen, Yi
PY - 2011
Y1 - 2011
N2 - A polynomial function supervised fuzzy sliding mode control (PSFαSMC), collaborated with a skyhook surface method, is presented for the ride comfort of a vehicle semi-active suspension. The multi-objectivemicro- genetic algorithm (MOμGA) has been utilised to the PSFαSMC controller's parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the 'offline' step. Then, the optimised parameters are applied to the real-time control process by the polynomial function supervised controller, which is named 'online' step. A two degree of freedom dynamic model of a vehicle semi-active suspension system is given for passenger's ride comfort enhancement studies and a simulation with the given initial conditions has been devised in MATLAB/SIMULINK. The numerical results have shown that this hybrid control method is able to provide a real-time enhanced level of ride comfort performance for the semi-active suspension system.
AB - A polynomial function supervised fuzzy sliding mode control (PSFαSMC), collaborated with a skyhook surface method, is presented for the ride comfort of a vehicle semi-active suspension. The multi-objectivemicro- genetic algorithm (MOμGA) has been utilised to the PSFαSMC controller's parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the 'offline' step. Then, the optimised parameters are applied to the real-time control process by the polynomial function supervised controller, which is named 'online' step. A two degree of freedom dynamic model of a vehicle semi-active suspension system is given for passenger's ride comfort enhancement studies and a simulation with the given initial conditions has been devised in MATLAB/SIMULINK. The numerical results have shown that this hybrid control method is able to provide a real-time enhanced level of ride comfort performance for the semi-active suspension system.
UR - https://www.scopus.com/pages/publications/80052324109
U2 - 10.1007/978-3-642-21705-0_13
DO - 10.1007/978-3-642-21705-0_13
M3 - Chapter
AN - SCOPUS:80052324109
SN - 9783642217043
T3 - Studies in Computational Intelligence
SP - 357
EP - 394
BT - Intelligent Computational Optimization in Engineering
A2 - Koppen, Mario
A2 - Schaefer, Gerald
A2 - Abraham, Ajith
ER -