Plant-friendly signal generation for system identification using a modified SPSA methodology

Richard Steenis, Daniel Rivera

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

2 Scopus citations

Abstract

The Simultaneous Perturbation Stochastic Approximation (SPSA) methodology and a modified SPSA version (MSPSA-K) were investigated for the generation of plant-friendly multi-sinusoidal signals. The MSPSA-K methodology principally differs from SPSA in that it perturbs the signal phase parameters in K subsets rather than simultaneously. SPSA and MSPSA-K provide a flexible, extensible computational framework to incorporate various plant-friendly performance measures into the design of an input signal for experimental design purposes in system identification. In this paper an objective function comprised of the input signal crest factor, rate of change, acceleration, and output crest factor is presented and applied to a representative case study. A detailed analysis of the tradeoffs between these various performance measures is illustrated by the choice of weighting of the objective function components. The proposed method can be applied to signals with an arbitrarily-defined spectrum (in both amplitude and frequency spacing) and is easily implemented. Index Terms - Signal Generation, Plant-Friendly, Multi-Sinusoidal Signal, System Identification, Simultaneous Perturbation Stochastic Approximation

Original languageEnglish (US)
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Pages470-475
Number of pages6
DOIs
StatePublished - Dec 1 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
CountryChina
CityShanghai
Period12/15/0912/18/09

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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    Steenis, R., & Rivera, D. (2009). Plant-friendly signal generation for system identification using a modified SPSA methodology. In Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 (pp. 470-475). [5400015] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2009.5400015