Parameters Optimization And Active Control Of Hydro-pneumatic Suspension For Wheel Loader

Wheel loaders have complex roads and poor working conditions.The wheel loader is subjected to severe vibration impact during the operation,and long-term driving operations seriously affect the health of the operator.At the same time,shock and vibration of the wheel loader also accelerates its tire wear and part failure,and reduces the loader's work efficiency.This paper combines the National Natural Science Foundation of China "Study on Multi-dimensional Vibration Reduction and Instability Control of Articulated Steering Vehicles for Suspension Systems"(No.51505177),the comfort and active control of a typical articulated steering wheel-loader with hydropneumatic suspension are studied.The detailed content can be concluded as:The mathematical model of the wheel-loader interconnected hydro-pneumatic suspension system is established.This paper analyzes the hydro-pneumatic suspension's stiffness and damping characteristics,and the influence of structural parameters of the hydro-pneumatic suspension is analyzed.It is determined that the road surface motivation is C-level road surface,D-level road surface and E-level road surface respectively,and the road surface excitation models are established respectively.Determine the evaluation method and characterization parameters of the wheel loader with hydro-pneumatic suspension system.Virtual model of wheel loader with hydropneumatic suspension system is established.And the wheel loader's acceleration response under different road surface motions and different traveling speeds was simulated and analyzed.Establishing Kriging model of hydro-pneumatic suspension's parameters and body acceleration of Wheel Loader.And by particle swarm optimization algorithm,the objective function is to minimize the acceleration of the wheel loader body,and suspension system parameters as optimization variables,and based on the vehicle stability,established the approximate relationship between the design variables and the objective function of the wheel loader The particle swarm optimization algorithm was used to analysis of the model.The optimization results of the hydro-pneumatic suspension's parameters under different operating conditions were obtainedThe active control of hydro-pneumatic suspension based on road condition recognition technology is proposed for wheel loaders.The use of Learning Vector Quantization(LVQ)neural network traffic identification technology,and through the test points to verify.Formulating fuzzy control rules based on the optimization results of the loader's hydro-pneumatic suspension to realize the active control of the wheel loader under different road conditions and different traveling speeds.Through the virtual model verifing the established control strategy.It proves that the active control of the hydro-pneumatic suspension can effectively improve the stability and comfort of the wheel-loader.The research results of this topic will provide a new research foundation and method for wheel loader vibration reduction,which will help improve the technical level of domestic loaders in the field of comfort and stability and enhance their competitiveness in the international market.