PID controller tuning in a dc-dc converter: A geometric approach for minimum transient recovery time

Santanu Kapat, Philip T Krein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A high performance proportional-integral-derivative (PID) controller in a dc-dc converter requires a time optimal tuning rule. A suitable auto-tuning rule needs to perform large-signal minimum-time transient recovery, while maintaining a sufficient small-signal stability margin and closed-loop bandwidth. This paper applies a geometric approach to analytically formulate a time optimal PID controller tuning rule for a buck converter. It is shown that the proposed method achieves approximate minimum-time transient recovery in the large-signal sense. The controller gains during a small-signal transient can be shown to be representative of those obtained using a standard tuning rule. The proposed formulation closely follows the desired minimum-transient- time trajectory. This geometric representation ensures large-signal stability in a sense similar to that of sliding mode control. A buck converter prototype is tested, and the proposed scheme is implemented using the ALTERA FPGA Cyclone-II.

Original languageEnglish (US)
Title of host publication2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010
DOIs
StatePublished - Oct 22 2010
Event2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010 - Boulder, CO, United States
Duration: Jun 28 2010Jun 30 2010

Publication series

Name2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010

Other

Other2010 IEEE 12th Workshop on Control and Modeling for Power Electronics, COMPEL 2010
CountryUnited States
CityBoulder, CO
Period6/28/106/30/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'PID controller tuning in a dc-dc converter: A geometric approach for minimum transient recovery time'. Together they form a unique fingerprint.

Cite this