MIMO extended predictive control - Implementation and robust stability analysis

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The objective of this work is to develop a new tuning strategy for multivariable extended predictive control (EPC). A natural concern is the problem of ill conditionality in controlling multi-input multi-output (MIMO) systems. The main advantage of EPC is that it has a simple and effective tuning strategy that results in a well-conditioned system which can achieve tight closed-loop response. Moreover, unlike most existing model predictive control tuning strategies, the proposed strategy establishes a direct relationship between one main tuning parameter for each subprocess of the MIMO system. This tuning method has been derived based on the assumption of an infinite control horizon resulting in powerful stability for the nominal case and in the presence of model uncertainty. This tuning method is applicable to unconstrained multivariable processes, and was proven to have good control on nonsquare systems. The main features of the new tuning strategy are practically illustrated on a MIMO temperature system with improved control performance as compared to move suppressed predictive control.

Original languageEnglish (US)
Pages (from-to)545-561
Number of pages17
JournalISA Transactions
Volume45
Issue number4
DOIs
StatePublished - Jan 1 2006

Fingerprint

Predictive Control
Robust Stability
Stability Analysis
Tuning
tuning
output
Output
Model Predictive Control
Parameter Tuning
Model Uncertainty
Model predictive control
Closed-loop
Categorical or nominal
Robust stability
Horizon
horizon
Strategy

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

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MIMO extended predictive control - Implementation and robust stability analysis. / Abu-Ayyad, Ma'moun Abdel; Dubay, R.

In: ISA Transactions, Vol. 45, No. 4, 01.01.2006, p. 545-561.

Research output: Contribution to journalArticle

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