Frequency tracking to maximum power of piezoelectric transformer HV converters under load variations

Sam Ben-Yaakov, Simon Lineykin

Research output: Contribution to journalConference articlepeer-review

36 Scopus citations

Abstract

The problem of maximum power point tracking of high output DC voltage converters that apply Piezoelectric Transformers (PT) and voltage doublers was studied theoretically and experimentally. It was shown that the operating frequency of the PT, at which maximum voltage gain is reached, is a function of the load. Hence, under load variations, and to overcome parameters instability, there is a need for some mechanism of frequency tracking that will help to lock the operating frequency to the optimum one. The proposed method to achieve frequency tracking is based on a Phase Locked Loop (PLL). The PLL inputs are the phase of the input voltage driving the PT and the phase of the current flowing through one of the voltage doubler diodes. Theoretical analysis, verified by experiments, shows that when the phase shift of the diode current relative the phase of the input voltage is zero, the voltage gain of the system is at its maximum point. By applying this approach, the system operation can be made independent on input voltage, load variations, temperature (within permitted range), and the spread and non-linearity of the PT parameters, as well their drift with time.

Original languageEnglish
Pages (from-to)657-662
Number of pages6
JournalPESC Record - IEEE Annual Power Electronics Specialists Conference
Volume2
StatePublished - 1 Jan 2002
Event2002 IEEE 33rd Annual Power Electronics Specialists Conference (PESC) - Cairns, Australia
Duration: 23 Jun 200227 Jun 2002

ASJC Scopus subject areas

  • Modeling and Simulation
  • Condensed Matter Physics
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Frequency tracking to maximum power of piezoelectric transformer HV converters under load variations'. Together they form a unique fingerprint.

Cite this