Control System for Piezoelectric-Actuator-Based Tunable Evanescent-Mode Cavity Microwave Filters

Shahrokh Saeedi, Sattar Atash-Bahar, Ju Seop Lee, Hjalti Sigmarsson

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A control system for automatic tuning of substrateintegrated, evanescent-mode cavity, microwave filters, with piezoelectric actuators, is developed. The system is based on an elegant sensing method using monitoring capacitors mounted on top of the actuators, where the digital value of them is directly measured. The system first requires to characterize the resonators in the filter and then can automatically tune the filter without any extra instrument. Characterization is used to circumvent the hysteresis and creeping effects of the piezoelectric actuators. This procedure extracts a unique frequency-capacitance relationship, which is modeled using a quadratic polynomial and saved into the system for tuning. Polynomial coefficients, extracted from the characterization data, are utilized to implement a closed-loop feedback control algorithm for the standalone tuning operation. The capability of the control system in automatically tune a variety of microwave filters using this methodology is experimentally demonstrated.

Original languageEnglish
JournalIEEE Transactions on Components, Packaging and Manufacturing Technology
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Keywords

  • Automatic tuning
  • bandpass filters
  • bandpass-bandstop cascade
  • bandstop filters
  • capacitive sensor
  • Capacitors
  • Cavity resonators
  • Control systems
  • evanescent-mode cavity
  • feedback control
  • Monitoring
  • Resonant frequency
  • Sensors
  • tunable
  • Tuning

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Control System for Piezoelectric-Actuator-Based Tunable Evanescent-Mode Cavity Microwave Filters'. Together they form a unique fingerprint.

Cite this