Air Suspension Based on Hybrid Fuzzy-Suboptimal Control Strategy
Sun Shi-le
Abstract
Sun Shi-le
Abstract
For non-linear air spring,air spring of elastic model is established with respect to cuff pressure,the effective area,the effective volume and vertical deformation.Suboptimal control theory was improved,so that it can be applied to air suspension.Moreover,combining control strategy of fuzzy control and sub-optimal control for air spring suspension is proposed.The model of quarter vehicle dynamic based on the nonlinear characteristics of the air spring is established.Meanwhile,modeling of air suspension and fuzzy-suboptimal is established using Matlab/simulink software.Simulation results show that the designed non-linear air suspension controller significantly improves the vehicle ride comfort and road friendliness.
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For non-linear air spring,air spring of elastic model is established with respect to cuff pressure,the effective area,the effective volume and vertical deformation.Suboptimal control theory was improved,so that it can be applied to air suspension.Moreover,combining control strategy of fuzzy control and sub-optimal control for air spring suspension is proposed.The model of quarter vehicle dynamic based on the nonlinear characteristics of the air spring is established.Meanwhile,modeling of air suspension and fuzzy-suboptimal is established using Matlab/simulink software.Simulation results show that the designed non-linear air suspension controller significantly improves the vehicle ride comfort and road friendliness.
Key concepts: Air suspension, Suspension (topology), Control theory (sociology), MATLAB, Fuzzy logic, Controller (irrigation), Nonlinear system, Engineering