Patent · US Active

PID controller autotuner using machine learning approaches

US11796977B2 · kind B2 · utility

0Cited by
10References
17Claims
0Family size

Assignee

Inventors

Key dates

Filing dateApr 29, 2020
Grant dateOct 24, 2023
Priority date—
Expiry dateNov 27, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG05B2219/13095
  • WIPO fieldControl
  • WIPO sectorInstruments

Abstract

An approach for auto tuning a PID controller that may incorporate determining set-points for controlled variables, obtaining controlled variables from a controlled process module, taking a difference between the set-points and the controlled variable as inputs to a proportional, integral and derivative (PID) controller, calculating a loss or reward from the difference between the controlled variables and the set-points, and achieving set-point tracking. The loss or reward needs to be an increasing or decreasing function of a control error value. Also incorporated may be adding loss or reward components based on controlled variables time difference or control action time difference, which may effect a self-tuned performance of the PID controller.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.