Abstract
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II
Abstract
The suspension system is an important component of vehicle, which is the power
transmission junction device between the wheel and the vehicle chassis, used to reduce the
impact of external disturbance on vehicle. It combines a variety of forces, and determines the
ride comfort and handling stability of vehicle. Spring stiffness and damping coefficient are the
main parameters of suspension vibration system. They are chosen according to the optimal
comprehension of ride performance and handling performance under the specific working
condition. Once chosen, they can not be changed. Because the characteristic parameters of
passive suspension are not usually adjusted to the working condition and road profile, it is
difficult for passive suspension to meet higher requirements of automotive ride performance
and handling performance at the same time. The more improvement of its performance is
limited. With the development of electronic control technology, profound researches on active
suspension system and its control technology have been carried out to overcome the limitation
of passive suspension and improve its performance.
In this paper, the active suspension is the research object. On the basis of understanding
the development trend and development status of suspension technology both at home and
abroad. The active suspension control strategy and joint simulation is researched deeply. Firstly,
the mathematical model of 1/4-car and semi-motor active suspension is established, and the
road model is built, which is prepared for the control strategy research and joint simulation. For
the quarter active suspension, PID control method is considered, and PID controller is designed.
The particle swarm optimization algorithm is used to optimize the controller. Comparing the
results before and after optimization, It can be concluded that the particle swarm optimization
algorithm is useful. For one-half of the active suspension, LQG and wheelbase preview method
is studied. MATLAB is used to complete the control simulation. Two simulation models of
active suspension are established. The result of simulation is used to compare. It can be
concluded that the smoothness of the active suspension controlled by the two control methods
is improved, and the effect of the preview control is better.
Finally, the specific model of 1/4 and semi-vehicle suspension is established by ADAMS /
View software . ADAMS / Controls module is used to establish the communication connection
between the ADAMS software and MATLAB software. The active suspension controller based
on PID control and the 1/4 mechanical suspension model are jointly simulated. Also, the active
suspension controller based on the preview control and the semi-vehicle model are jointly
simulated. The simulation results show that the active suspension system can improve the
performance of the suspension, reduce the body acceleration effectively, also can improve the
