Adaptive Cascade Control with an Adjustable Identification Interval

Wei hsiung Ou; Wen teng Wu

doi:10.1021/ie00096a014

Adaptive Cascade Control with an Adjustable Identification Interval

Wei hsiung Ou
, Wen teng Wu

College of Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Adaptive PID control for cascade control systems has been developed. Controller tuning is based on adaptive models. Parameters of the models are identified by using weighted least-squares estimation via recursive formulas. The identification interval, which is different from the sampling interval, is automatically adjusted. The difficulties of choosing the identification interval and tuning controllers for cascade control systems are avoided. Both simulation and experimental results show satisfactory results.

Original language	English
Pages (from-to)	1823-1828
Number of pages	6
Journal	Industrial and Engineering Chemistry Research
Volume	28
Issue number	12
DOIs	https://doi.org/10.1021/ie00096a014
Publication status	Published - 1989 Dec 1

All Science Journal Classification (ASJC) codes

General Chemistry
General Chemical Engineering
Industrial and Manufacturing Engineering

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10.1021/ie00096a014

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title = "Adaptive Cascade Control with an Adjustable Identification Interval",

abstract = "Adaptive PID control for cascade control systems has been developed. Controller tuning is based on adaptive models. Parameters of the models are identified by using weighted least-squares estimation via recursive formulas. The identification interval, which is different from the sampling interval, is automatically adjusted. The difficulties of choosing the identification interval and tuning controllers for cascade control systems are avoided. Both simulation and experimental results show satisfactory results.",

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AU - Wu, Wen teng

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N2 - Adaptive PID control for cascade control systems has been developed. Controller tuning is based on adaptive models. Parameters of the models are identified by using weighted least-squares estimation via recursive formulas. The identification interval, which is different from the sampling interval, is automatically adjusted. The difficulties of choosing the identification interval and tuning controllers for cascade control systems are avoided. Both simulation and experimental results show satisfactory results.

AB - Adaptive PID control for cascade control systems has been developed. Controller tuning is based on adaptive models. Parameters of the models are identified by using weighted least-squares estimation via recursive formulas. The identification interval, which is different from the sampling interval, is automatically adjusted. The difficulties of choosing the identification interval and tuning controllers for cascade control systems are avoided. Both simulation and experimental results show satisfactory results.

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EP - 1828

JO - Industrial and Engineering Chemistry Research

JF - Industrial and Engineering Chemistry Research

IS - 12

ER -

Adaptive Cascade Control with an Adjustable Identification Interval

Abstract

All Science Journal Classification (ASJC) codes

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