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Hierarchical integrated system optimisation and parameter estimation using a microcomputer based system

Hierarchical integrated system optimisation and parameter estimation using a microcomputer based system
Hierarchical integrated system optimisation and parameter estimation using a microcomputer based system
The advent of inexpensive and more powerful microcomputers has facilitated the implementation of on-line optimisation schemes to industrial processes. Most optimisation algorithms require a process model and their performance clearly depends on how accurate the model is to reality. Unfortunately, for many industrial processes an accurate model may be very difficult, time consuming or impractical to obtain. In this paper a hierarchical integrated system optimisation and parameter estimation technique developed by combining the interaction balance method and the modified two-step approach has been investigated using a microcomputer based system. Real-time simulation results obtained show that two versions of this technique (a single iterative algorithm and a double iterative algorithm) are capable of achieving the real process steady state optimal operating condition in spite of the model used to solve the optimisation problem not being a faithful representation of reality. The results also demonstrate that the double iterative version has an improtant advantage uder real time operation. It significantly reduces the time for determining the real optimum operating condition.
859-864
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Wadhwani, D. S.
d01e5262-3dc8-4444-b76a-72df0d5f2e10
Roberts, P. D.
f383d819-2b72-4868-b51f-e0b355437445
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Wadhwani, D. S.
d01e5262-3dc8-4444-b76a-72df0d5f2e10
Roberts, P. D.
f383d819-2b72-4868-b51f-e0b355437445

Chen, S., Wadhwani, D. S. and Roberts, P. D. (1986) Hierarchical integrated system optimisation and parameter estimation using a microcomputer based system. 25th IEEE Conference on Decision and Control, Greece. 10 - 12 Dec 1986. pp. 859-864 .

Record type: Conference or Workshop Item (Other)

Abstract

The advent of inexpensive and more powerful microcomputers has facilitated the implementation of on-line optimisation schemes to industrial processes. Most optimisation algorithms require a process model and their performance clearly depends on how accurate the model is to reality. Unfortunately, for many industrial processes an accurate model may be very difficult, time consuming or impractical to obtain. In this paper a hierarchical integrated system optimisation and parameter estimation technique developed by combining the interaction balance method and the modified two-step approach has been investigated using a microcomputer based system. Real-time simulation results obtained show that two versions of this technique (a single iterative algorithm and a double iterative algorithm) are capable of achieving the real process steady state optimal operating condition in spite of the model used to solve the optimisation problem not being a faithful representation of reality. The results also demonstrate that the double iterative version has an improtant advantage uder real time operation. It significantly reduces the time for determining the real optimum operating condition.

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More information

Published date: 1986
Additional Information: Event Dates: Decemeber 10-12, 1986 Organisation: IEEE
Venue - Dates: 25th IEEE Conference on Decision and Control, Greece, 1986-12-10 - 1986-12-12
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261188
URI: https://eprints.soton.ac.uk/id/eprint/261188
PURE UUID: ab8d7473-5479-4ef8-af62-de78c82e7798

Catalogue record

Date deposited: 05 Sep 2005
Last modified: 18 Jul 2017 09:04

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Contributors

Author: S. Chen
Author: D. S. Wadhwani
Author: P. D. Roberts

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