Supercharge Your Innovation With Domain-Expert AI Agents!

RBF neural network generalized inverse internal model control method of linear motor

A linear motor and neural network technology, applied in the field of power transmission, can solve the problems of poor anti-interference ability of permanent magnet linear motors, and achieve the effect of superior key performance

Active Publication Date: 2016-11-16
SUQIAN COLLEGE
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the characteristics of poor anti-interference ability of permanent magnet linear motors, the present invention provides a linear motor RBF neural network generalized inverse internal model control method, which can effectively overcome the influence of disturbance signals and uncertain environments on the control system, and improve the performance of permanent magnet linear motors. Dynamic response capability and robustness

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
  • RBF neural network generalized inverse internal model control method of linear motor
  • RBF neural network generalized inverse internal model control method of linear motor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] Now in conjunction with the accompanying drawings, the examples of the present invention will be described in detail.

[0016] Such as figure 1 As shown, the linear motor RBF neural network generalized inverse internal model control method includes: generalized inverse system, linear motor system, PI regulator, PD regulator, internal model controller, and coordinate transformation module. The generalized inverse system includes: RBF neural network generalized inverse module, current loop first-order integral module, speed loop second-order integral module; linear motor system includes: SVPWM modulation module, inverter, linear motor module.

[0017] The output end of the linear motor is measured and calculated by the photoelectric rotary encoder and the transformer used to detect the phase current to obtain the rotational speed ω r , electrical angle θ, phase current i a i b i c . The two rotating coordinate currents obtained by changing the coordinates of the pha...

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 RBF neural network generalized inverse internal model control method of a linear motor. A generalized inverse system of a permanent magnet linear motor free of an accurate mathematical model is approached through an RBF neural network; and the generalized inverse system is connected with a permanent magnet linear motor system in series, so that linearization and decoupling of a permanent magnet linear motor control system are achieved; and through correction on a decoupled pseudo linear system through inner model control, the key properties of the control accuracy, the dynamic response capability, the robustness and the like of the permanent magnet linear motor control system are more excellent.

Description

technical field [0001] The invention relates to a generalized inverse internal model control method of a linear motor RBF neural network, which belongs to the technical field of electric transmission. Background technique [0002] Linear motors can directly convert electrical energy into mechanical energy of linear motion, which not only saves the intermediate transmission mechanism, but also reduces system losses. It is widely used in servo control system. [0003] The permanent magnet linear motor also has the characteristics of sudden change of parameters with the change of operating state, nonlinear strong coupling and other characteristics. The control system has multiple inputs and multiple outputs and cannot obtain an accurate mathematical model. Therefore, traditional control theory cannot meet the control of modern high-performance linear motors. need. [0004] The neural network generalized inverse system takes into account the characteristics of linearization an...

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): H02P25/06H02P21/00
CPCH02P21/0014H02P25/06
Inventor 张锦茆正平仲伟松高磊孙延永
Owner SUQIAN COLLEGE
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com