Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Initiative anticollision self-adapting fuzzy control method for vehicle

An adaptive fuzzy control method technology, applied in the automotive field, can solve problems such as limited levels, controller internal parameter configurations that cannot be changed with changes in control conditions, and rough control

Active Publication Date: 2014-11-05
上海保资智能科技有限公司
View PDF7 Cites 52 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, when the fuzzy control algorithm table is used for look-up control, the main problem is that the control is quite rough due to the limited level and the configuration of the internal parameters of the controller cannot be changed with the control situation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Initiative anticollision self-adapting fuzzy control method for vehicle
  • Initiative anticollision self-adapting fuzzy control method for vehicle
  • Initiative anticollision self-adapting fuzzy control method for vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings.

[0026] The present invention relates to an adaptive fuzzy control method for automobile active collision avoidance technology, and its safety distance and inter-vehicle distance are as follows: figure 1 As shown, the system structure of inter-vehicle distance hierarchical management and fuzzy control is as follows: figure 2 , image 3 shown.

[0027] Self-vehicle 1 and front vehicle 2 are driving on the lane, and the actual inter-vehicle distance can be measured as D by the radar ranging sensor 3 on self-vehicle 1. According to the size of the inter-vehicle distance, the control behavior of self-vehicle 1 can be divided into four Levels, corresponding to display safe following distance d d , warning distance d w , fuzzy control automatic braking distance d f and emergency braking distance d b . The relationship between the grading threshold distances of the fou...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an initiative anticollision self-adapting fuzzy control method for a vehicle. The method comprises the following steps: measuring the relative speed of a self vehicle and a front vehicle and the speed of the self vehicle respectively by a radar speed measurement sensor and a hall vehicle speed sensor on the self vehicle; according to the situations of weather, road surfaces, vehicle types and loads and manual input information, obtaining the largest braking deceleration that the self vehicle and the front vehicle possibly achieve, and at the same time, according to a distance between the two vehicles, dividing the control behavior of the self vehicle into four grades; and comparing the actual distance D between the two vehicles, measured by a radar distance measurement sensor, with a safe vehicle following distance, a warning distance, a fuzzy control automatic brake distance and an emergency braking distance, and determining which section the actual distance between the vehicles falls into, so as to make a corresponding action. According to the method disclosed by the invention, a control system can be adjusted in a self-adapting manner without changing a fuzzy control rule list and a fuzzy control algorithm list, so that the control system can be adaptive to the changes of the situations of individual types of drivers, the weather, the road surfaces, the vehicle types, the loads and the like, and the stability, the reliability and the robustness of automatic brake are maintained.

Description

technical field [0001] The invention belongs to the technical field of automobiles and relates to an automatic control method for automobiles, in particular to an adaptive fuzzy control method for active collision avoidance technology of automobiles. Background technique [0002] Automobile anti-collision systems can not only reduce traffic accidents and casualties, but also are closely related to the future development of automobiles. Car driving in the future will definitely become simple and convenient until fully autonomous driving is realized. The prerequisite and important guarantee for the realization of automatic driving is a reliable collision avoidance system. Automobile anti-collision systems are mainly divided into passive anti-collision and active anti-collision. The former is an alarm device, reminding and mainly relying on the driver to control and brake the vehicle; If the driver fails to brake in time, the automatic control system will activate the automat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): B60T7/12B60Q9/00
Inventor 姜显扬
Owner 上海保资智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products