English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

KEYWORD: brazing furnace; temperature control; parameter identification; Recursive least squares algorithm; ABSTRACT: In the brazing operation, the brazing temperature control is also the difficulty for its time delay and parameter varying. In order to control the brazing temperature, the mathematical model of brazing temperature must be established first. Parameter identification is an effective way to obtain the temperature model of brazing furnace. In this paper, the online parameter identification on first order delay temperature model for brazing furnaces was investigated. The recursive least squares algorithm with variable forgetting factor is applied to this study. Through identifying and calculating for first order delay temperature model, the parameters of the mode and delay time are got. This presents a solution on the time delay identification of traditional least squares algorithm, and solves the fuzzy identification resulted by data saturation.

Online parameters identification on first order delay temperature model for industrial brazing furnaces