Control method for steer-by-wire automobile active front-wheel steering control system

Abstract

The invention discloses a control method for steer-by-wire automobile active front-wheel steering. The control method sequentially comprises the following steps that (1) a self-adaptive neural fuzzy inference model is built; (2) the initial weight value and the threshold value of the self-adaptive neural fuzzy inference model are optimized through the genetic algorithm; (3) the self-adaptive neural fuzzy inference model optimized through the genetic algorithm is applied to an active steering controller; (4) a full automobile model is built; (5) the steering wheel rotating angle and the actual automobile speed serve as input of the full automobile model, and the deviation of the ideal yaw velocity output by the full automobile model and the actual automobile yaw velocity serves as input of the active steering controller; (6) the active steering controller outputs the additional front wheel rotating angle; and (7) the additional front wheel rotating angle and the steering wheel rotating angle are overlapped and fed back to an automobile steering actuator. By means of the control method for a steer-by-wire automobile active front-wheel steering control system, the automobile stability during automobile steering is improved, and the safety of a driver in the automobile running process is ensured.

Description

technical field [0001] The invention belongs to the technical field of automobile active front wheel control, in particular to a control method for an active front wheel steering control system of a steer-by-wire automobile. Background technique [0002] With the continuous development of automobile technology, people have higher and higher requirements for the safety performance of automobiles; the stability of automobiles in the steering process is an important indicator to determine the safety of automobiles. At present, the research on the control strategy of automobile steering stability mainly includes PID control, fuzzy control, BP network control, etc.; PID control and fuzzy control are difficult to make automatic adjustments with changes in vehicle conditions; at the same time, the convergence speed of BP network control is slow, and it is easy to make the solution of the problem fall into a local minimum point . Contents of the invention [0003] The object of t...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of automobile technology, people have higher and higher requirements for the safety performance of automobiles; the stability of automobiles in the steering process is an important indicator to determine the safety of automobiles. At present, the research on the control strategy of automobile steering stability mainly includes PID control, fuzzy control, BP network control, etc.; PID control and fuzzy control are difficult to make automatic adjustments with changes in vehicle conditions; at the same time, the convergence speed of BP network control is slow, and it is easy to make the solution of the problem fall into a local minimum point

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