Design method of optimal control force of LQG controller of automobile active suspension bracket

Abstract

The invention, which belongs to the technical field of the active suspension bracket, relates to a design method of an optimal control force of an LQG controller of an automobile active suspension bracket. On the basis of a one-quarter vehicle driving vibration model, a ride weighting coefficient optimization design simulink simulation model is constructed by using MATLAB / simulink; and optimization designing is carried out to obtain a ride weighting coefficient and an LQG optimal control force by using pavement unevenness displacement as input excitation, tyre dynamic displacement and suspension dynamic deflection as constraint conditions, and root-mean-square value minimization of vertical vibration acceleration of a vehicle body as a design target. According to examples and simulation verification, with the method, an accurate and reliable LQG optimal control force of the active suspension bracket can be obtained; and a reliable optimal control force design method can be provided for the design and control of the active suspension bracket system. Therefore, the design level and product quality of the active suspension bracket system can be improved; the vehicle riding comfort and driving safety are enhanced; and the product design and testing expenses can be reduced.

Description

technical field [0001] The invention relates to an automobile active suspension, in particular to a design method for an optimal control force of an LQG controller of an automobile active suspension. Background technique [0002] Due to its strong applicability, LQG control has been widely used in active suspension systems. Among them, the determination of the optimal control force is the key to the design of LQG controller for vehicle active suspension. However, according to the available information, the design of the optimal control force of the LQG controller for automotive active suspension at home and abroad is mostly based on the designer's tendency to suspension performance, and the LQG control weighting coefficient is initially determined according to experience, and then through multiple In this simulation, the weighting coefficients are gradually adjusted according to the response until a satisfactory output response is obtained, and then the optimal control force...

AI Technical Summary

Problems solved by technology

Although the LQG control force obtained by this method can make the vehicle meet the requirements of the current driving conditions, the designed control force is not optimal

With the rapid development of the vehicle industry and the continuous improvement of vehicle speed, people have put forward higher requirements for vehicle driving safety and ride comfort. The current optimal control force design method of the active suspension LQG controller cannot meet the requirements Development and Design Requirements of Active Suspension Controllers

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