Sound parametric array control method based on neural network opposite identification and self-adaptive piping and instrument diagram (PID)

A technology of adaptive control and neural network inversion, applied to controllers with specific characteristics, electric controllers, etc., can solve problems such as difficult to accurately describe the nonlinear characteristics of acoustic parameter arrays

Inactive Publication Date: 2013-05-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two theories have made a lot of assumptions in the theoretical derivation process, and only made a second-order nonlinear approximation to the nonlinear terms involved in the acoustic parameter array. It is difficult to accurately describe the nonlinear characteristics of the acoustic parameter array, especially the second-order and above The nonlinear characteristics of
This makes the acoustic parametric array signal processing method developed based on the existing acoustic parametric array theory inherently flawed

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
  • Sound parametric array control method based on neural network opposite identification and self-adaptive piping and instrument diagram (PID)
  • Sound parametric array control method based on neural network opposite identification and self-adaptive piping and instrument diagram (PID)
  • Sound parametric array control method based on neural network opposite identification and self-adaptive piping and instrument diagram (PID)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention is mainly made up of neural network inverse model and adaptive PID controller based on neural network. The specific design steps of the system are as follows:

[0035] ①Train the inverse model of the neural network; before training, the reversibility of the object must be considered first. The necessary and sufficient condition for the system to be reversible in a certain field is that there is a relative order α in this neighborhood. The mathematical model of the "Berktay far-field solution" of the parametric array system is: p ( τ ) = β p 0 2 S 16 π ρ 0 c 0 4 z α ...

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 provides a control system design method. According to the method, distortion of a sound parametric array system signal is improved through neural network opposite identification and control, and a self-adaptive piping and instrument diagram (PID) controller. The method mainly comprises the steps of obtaining a neural network model of an existing sound parametric array system in a training mode through a great number of data obtained through tests for the existing sound parametric array system, obtaining an opposite model of the existing sound parametric array system in a reverse training mode, enabling the identified opposite model to be in series connection with the front portion of the sound parametric array system, achieving a false linear system, and achieving pretreatment for system signal distortion through addition of the auxiliary self-adaptive PID. Compared with the prior system, the control system design method can reduce the sound distortion of the system to a large degree, and has the advantages that due to the fact that training is conducted through random signals, extensive performance is provided, system properties are enabled to be better through the self-adaptive PID controller, a system hardware circuit is simple, an operating process is reliable, a processing result is ideal, and achievement cost is low.

Description

technical field [0001] A design method for an acoustic parameter array control system, in particular to a control system design method based on neural network inverse identification and adaptive PID control to reduce the signal distortion of the acoustic parameter array system. Background technique [0002] The acoustic parametric array system is a new generation of loudspeakers that use the principle of the acoustic parametric array to generate highly directional audio signals. Unlike traditional loudspeakers, which emit sound waves omnidirectionally, the system can spread the audible sound along a designated direction. Sounds in areas outside this direction will be faint or inaudible. [0003] As a new concept loudspeaker, the relevant basic theory and key technology development of the acoustic parametric array system are still not very mature. This theoretical and technical immaturity has led to sound distortion as one of the main reasons restricting the development of ...

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): G05B11/42
Inventor 陈敏杨天文赵亮张力文刘星
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products