Reinforcement learning-based H-infinity current control method and system for permanent magnet synchronous motor

A permanent magnet synchronous motor, current control technology, applied in the control system, motor control, current controller and other directions, can solve the problems of inability to guarantee control performance and reliability, large amount of data, low efficiency, etc. Good stickiness and good anti-disturbance performance

Active Publication Date: 2021-09-07
WEICHAI POWER CO LTD +1
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the pure model-free reinforcement learning method has a large amount of data and low efficiency, and cannot guarantee control performance and reliability.

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
  • Reinforcement learning-based H-infinity current control method and system for permanent magnet synchronous motor
  • Reinforcement learning-based H-infinity current control method and system for permanent magnet synchronous motor
  • Reinforcement learning-based H-infinity current control method and system for permanent magnet synchronous motor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0094] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0095] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as commonly understood by those of ordinary skill in the art to which this application belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have m...

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 reinforcement learning-based H-infinity current control method and system for a permanent magnet synchronous motor. The method comprises the steps: converting an H-infinity optimal control problem into a double-player zero-sum game problem based on a saddle point theory in combination with a linear discretization mathematical model of the permanent magnet synchronous motor, constructing a GARE equation, and solving the GARE equation; and updating a Q function and a strategy by adopting a reinforcement learning algorithm based on an Actor-Critic framework, and training to obtain an optimal H-infinity controller meeting Nash equilibrium. According to the method, reinforcement learning and H-infinity control are combined, a GARE solution is learned on line in a data driving mode, a motor mathematical model is completely not needed, H-infinity optimal control of a time-varying system is successfully achieved, the method is applied to current control of an IPMSM, the robustness is high, and the performance is far better than that of PI control.

Description

technical field [0001] The present application relates to the technical field of motor control, in particular to a reinforcement learning-based H∞ current control method and system for permanent magnet synchronous motors. Background technique [0002] The interior permanent magnet synchronous motor (Interior Permanent Magnet Synchronous Motor, IPMSM) has the advantages of high power density and large speed range, and is widely used in the field of motion control. The control strategies of the IPMSM drive system mainly include vector control and direct torque control, but they cannot meet the application scenarios with high robustness requirements, such as aircraft control. Although the sliding mode control has strong robustness, the chattering problem caused by the switching of the sliding mode surface cannot be completely eliminated. Active Disturbance Rejection Control (ADRC) can observe and compensate the system disturbance in real time, and the anti-disturbance ability ...

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): H02P23/14H02P6/28H02P6/34H02P25/022H02P27/12
CPCH02P23/14H02P6/28H02P6/34H02P25/022H02P27/12H02P2207/05
Inventor 高乐游科友冯艳丽邵光杰贾善坤
Owner WEICHAI POWER CO LTD
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap