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

Dynamic programming optimal control method for dual-motor loads with unknown model

An optimal control and dynamic programming technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as few research results

Active Publication Date: 2020-04-17
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Especially in recent years, the research on adaptive dynamic programming method has made great progress, but there are still not many research results on the application of this theory to solve the actual system model

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
  • Dynamic programming optimal control method for dual-motor loads with unknown model
  • Dynamic programming optimal control method for dual-motor loads with unknown model
  • Dynamic programming optimal control method for dual-motor loads with unknown model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0066] Please refer to figure 1 and figure 2 , figure 1 A structural block diagram of a dual-motor load system targeted by the embodiment of the present invention is shown. figure 2 It shows the dynamic programming optimal control method of the model-unknown dual-motor load provided by the embodiment of the present invention, including the following steps:

[0067] S1. Establish a neural network model for the dual-motor load system, and estimate weight parameters of the neural network model for the dual-motor load system.

[0068] S2. Establishing a neural network model for the performance index function, and estimating the weight parameters of the neural network model for the performance index function in combination with the Hamilton-Jacobi-Bellman HJB equation;

[0069] S3, combining the neural network model of the dual-motor load system and the 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 an optimal control method for dynamic programming of a model-unknown dual-motor load, and can apply a neural network approach method and an adaptive algorithm to calculate to obtain optimal control of a model-unknown dual-motor servo system. The method includes the following steps: establishing a neural network model for a dual-motor load system, and estimating weight parameters of the neural network model of the dual-motor load system; building a neural network model for a performance index function, and based on a Hamilton-Jacobi-Bellman (HJB) equation, estimating theweight parameters of the neural network model of the performance index function; based on the neural network model of the dual-motor load system and the neural network model of the performance indexfunction, adopting the HJB equation to solve optimal control, and obtaining optimal input moment of force of each motor; and adjusting parameters of the corresponding motors according to optimal inputmoment of force.

Description

technical field [0001] The invention relates to the technical field of automatic control. Background technique [0002] For the control method of multi-motor servo system, the application of optimal control theory is not very mature. For a linear system, the Riccati equation can be used to solve its optimal control offline. To solve the optimal control of a nonlinear system, the Hamiltonian function of the system must be established. However, the Hamilton-Jacobi-Bellman (HJB, Hamilton-Jacobi-Bellman) equation of nonlinear systems is difficult to solve because of the "curse of dimensionality", which causes great difficulties in solving the optimal control of nonlinear systems. Therefore, the deep learning method is usually used to solve the HJB equation to form an optimal control solution method based on the Adaptive Dynamic Programming (ADP, AdaptiveDynamic Programming) method. [0003] Especially in recent years, great progress has been made in the research of adaptive d...

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
CPCG05B13/042
Inventor 任雪梅吕永峰李林伟王敏林
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Features
  • Generate Ideas
  • 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