Automobile active suspension PID controller design method based on teaching optimization algorithm

Abstract

The invention relates to an automobile active suspension PID controller design method based on a teaching optimization algorithm, and belongs to the technical field of active suspension control. An automobile active suspension system mathematical model is established according to the dynamic characteristics of the active suspension; a white noise random road surface input model is established according to the uneven road surface which can be felt at ordinary times; the design variables, the objective function and the constraint conditions of optimization design are reasonably selected according to the control objective of improving the riding comfort and guaranteeing the driving safety of the active suspension system; and the PID parameters are optimized by using the teaching optimizationalgorithm so as to obtain the optimal controller. The teaching optimization algorithm is less in independent parameter, simple in algorithm, fast in solving speed, high in accuracy and extremely highin convergence capacity. The teaching optimization algorithm is applied to the field of active suspension PID control to rapidly obtain the accurate and reliable active suspension control force so asto provide the practical basis for PID controller parameter selection. According to the method, the riding comfort and the driving safety of the vehicle can be enhanced and the product design and testcost can be reduced.

Description

technical field [0001] The present invention relates to the field of automobile active suspension control, in particular to a method for designing an automobile active suspension PID controller based on a teaching optimization algorithm. Background technique [0002] Automobile suspension system is an important factor that affects automobile ride comfort and driving safety. Due to the limitations of parameters such as damping and stiffness, traditional passive suspensions are difficult to meet the needs of vehicle performance improvement, while active suspensions can actively improve ride comfort and enhance vehicle handling by inputting a certain force to the suspension. Therefore, active suspension has become an important development direction in the field of automobile suspension. [0003] With the development of modern control technology, more control methods are applied to active suspension control, such as PID control, optimal control, fuzzy control and neural network...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the common problems of long running time, insufficient precision and complex calculation in the comprehensive control method, the present invention proposes a design method of intelligent PID controller for active suspension of automobiles based on the teaching optimization algorithm, which can better alleviate the unevenness of the road surface transmitted to the vehicle frame and The shock and vibration of the car body to achieve the purpose of improving the comfort and driving safety of the car

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