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

Neural network inverse controller and construction method of automobile ass and eps integrated system

A neural network inverse and integrated system technology, applied in the field of vehicle engineering equipment, can solve problems such as poor control effects, achieve the effects of improving driving safety, simple implementation, and improving generalization capabilities

Active Publication Date: 2016-08-31
JIANGSU UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method needs to establish an accurate mathematical model of the integrated system of ASS and EPS. Since it is difficult to obtain an accurate mathematical model of the system, the control effect of this control method is not good.

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
  • Neural network inverse controller and construction method of automobile ass and eps integrated system
  • Neural network inverse controller and construction method of automobile ass and eps integrated system
  • Neural network inverse controller and construction method of automobile ass and eps integrated system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0020] Such as figure 1 with Figure 5 As shown, the neural network inverse controller of the automobile ASS and EPS integrated system of the present invention includes the neural network inverse 4 and the linear closed-loop regulator 6, and the neural network inverse 4 and the linear closed-loop regulator 6 are connected in series to form the neural network of the automobile ASS and EPS integrated system. The network inverse controller 7, wherein the neural network inverse 4 is composed of a static neural network 41 plus 5 integrators, and the linear closed-loop regulator 6 includes a vertical acceleration regulator 64, a roll angle regulator 62, a suspension turbulence regulator 63, The vehicle yaw rate regulator 64 and the center-of-mass bias angle regulator 65, and the linear closed-loop regulator 6 perform closed-loop control on the ps...

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 discloses an automobile ASS and EPS integrated system neural network inversion controller and a construction method thereof. An ASS and an EPS serve as a whole to constitute an entire automobile nonlinear system, neural network inversion is placed in front of the entire automobile nonlinear system, the neural network inversion and the entire automobile nonlinear system are connected in series to be compounded into a pseudo-linear system, on this basis, a linear closed loop regulator is designed for the pseudo-linear system, and the neural network inversion and the linear closed loop regulator are connected in series to constitute the automobile ASS and EPS integrated system neural network inversion controller. By the adoption of the controller, non-linear decoupling control over the automobile acceleration, the side tilting angle, the suspension dynamic deflection, the entire automobile yaw velocity and the centroid offset angle of an automobile can be achieved, and the control performance of an automobile ASS and EPS integrated system can be improved obviously.

Description

technical field [0001] The invention belongs to the technical field of vehicle engineering equipment, and relates to a neural network inverse-based automotive ASS and EPS integrated system controller and a control method thereof, which are suitable for high-performance integrated control of the nonlinear system of the entire vehicle. Background technique [0002] With the continuous development of science and technology, people have higher and higher requirements on the performance of automobiles such as maneuverability, ride comfort, comfort and driving safety. The active suspension system (Active suspension system, ASS) can effectively reduce the excessive acceleration of the vehicle caused by the irregular excitation of the road under various working conditions, thereby improving the driving comfort, improving the handling stability and smoothness of the vehicle, and has been It has become one of the research hotspots of scholars at home and abroad. As a new type of stee...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 陈龙孙晓东黄晨江浩斌汪少华殷春芳李可
Owner JIANGSU UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com