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

Construction method of fuzzy neural network generalized inverse controller of chassis nonlinear system

A fuzzy neural network and non-linear system technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of influence and mutual interference of control effects, and achieve easy implementation, improved driving safety, and low cost. low effect

Inactive Publication Date: 2014-09-17
JIANGSU UNIV
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the nonlinear kinematic coupling relationship between the electric power steering system and the active suspension system, the control effects of the two will interfere with each other and affect each other.

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
  • Construction method of fuzzy neural network generalized inverse controller of chassis nonlinear system
  • Construction method of fuzzy neural network generalized inverse controller of chassis nonlinear system
  • Construction method of fuzzy neural network generalized inverse controller of chassis nonlinear system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0023] The concrete implementation of the present invention divides following 7 steps:

[0024] 1. Constitute the chassis nonlinear system3. Such as figure 1 As shown, the active suspension system 1 and the electric power steering system 2 are integrated to form a chassis nonlinear system 3, and the chassis nonlinear system 3 is used as a composite controlled object, then the input signal of the chassis nonlinear system 3 is: Active suspension force F 1 , F 2 , F 3 , F 4 and electric power assist torque T m , the output signal is: vertical acceleration a z , roll angle φ, suspension turbulence f d , yaw rate γ and center-of-mass bias angle β.

[0025] 2. If figure 2 As shown, through analysis, equivalence and derivation, it provides methodological basis for the construction and learning training of generalized inverse 5 of fuzzy n...

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 a construction method of a fuzzy neural network generalized inverse controller of a chassis nonlinear system. An active suspension system and an electric power steering system form the integrally-formed chassis nonlinear system based on vertical and transverse motions. A fuzzy neural network and five linear elements are adopted to form a fuzzy neural network generalized inverse of the chassis nonlinear system. The fuzzy neural network generalized inverse is arranged in front of the chassis nonlinear system, and a generalized pseudo-linear system is formed through composition. The generalized pseudo-linear system is decoupled into five linear one-step subsystems, poles of five linear one-step subsystems can be reasonably configured in a complex plane by reasonably adjusting parameters of the generalized inverse system, and accordingly open loop decoupling control of the chassis nonlinear system is achieved. The controller can independently serve as an open loop controller to be directly used without an additional closed loop controller, and the controller is low in cost and easy to achieve.

Description

technical field [0001] The invention belongs to the technical field of vehicle engineering equipment, and relates to a method for constructing a nonlinear system controller of an automobile chassis based on a generalized inverse of a fuzzy neural network, which is suitable for high-performance decoupling control of an integrated system of an active suspension of an automobile and an electric power steering system. Background technique [0002] With the continuous development of automotive electronic control technology, the research on the various electronic control subsystems of the automotive chassis has become one of the key research contents in the field of vehicle engineering. , Riding comfort, maneuverability and smoothness have a significant impact, and have been widely valued by scholars from various countries. The electric power steering system and the active suspension system are the two main components of the integrated system of the electronically controlled chass...

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 Applications(China)
IPC IPC(8): G05B13/04
Inventor 江浩斌陈龙孙晓东汪少华殷春芳李可
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