Air suspension not only improves the vehicle's ride comfort, handling and stability, grounding of the tire, but also reduce the impact of the road, protect the road, so become one of the hot car field. In this paper, air suspension bus as the research object, the damping control has been studied and discussed. First, multi-body system dynamics theory, analysis of mechanical system simulation software ADAMS, created a model of a large passenger car air suspension, including front and rear suspension models, steering system model, engine model, body and front and rear tire models also establish a corresponding road model. Second, for a test ride, natural frequency test and right-angle turn test and the corresponding simulation. The simulation data and the comparison of test data verified the correctness of the virtual prototype model. Again, the coach of the vertical acceleration, pitch and roll angular acceleration as the control target, in MATLAB, a fuzzy controller. Through motion analysis, the establishment of a logic controller, obtained the corresponding four damper control. The virtual prototype model created by ADAMS / Control module into MATLAB, the joint realization of mechatronic simulation. Finally, in order to improve the control effect of fuzzy controller to the theoretical basis of the genetic algorithm written in MATLAB, optimization of the relevant procedures, established by the fuzzy control rules are optimized. The simulation results under different conditions from the comparative analysis showed that the fuzzy controller optimized ride comfort of passenger cars has improved than before. Co-simulation method used in this paper to avoid the establishment of vehicle dynamics equations and derive the transfer function, compared with traditional methods can greatly improve design efficiency and reduce product development costs.
Keywords: virtual prototyping, fuzzy control, co-simulation, genetic algorithm
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