SELF OPTIMIZING CONTROL OF AN EVAPORATION PROCESS UNDER NOISY MEASUREMENTS

Agustriyanto, Rudy and Jie, Zhang (2006) SELF OPTIMIZING CONTROL OF AN EVAPORATION PROCESS UNDER NOISY MEASUREMENTS. In: International Control Conference 2006, 30th August to 1st September 2006, Glasgow, Scotland, UK.

[img]
Preview
PDF
Agustriyanto_Self optimizing control_Abstract_2006.pdf - Published Version

Download (15Kb) | Preview
[img] PDF
Agustriyanto_Self optimizing control_2006.pdf - Published Version
Restricted to Registered users only

Download (140Kb) | Request a copy
[img]
Preview
PDF
Agustriyanto_Self optimizing control_Reference_2006.pdf - Published Version

Download (18Kb) | Preview
Official URL: http://ukacc.group.shef.ac.uk/proceedings/control2...

Abstract

Recently, Cao (2004) presented a decentralized cascade self-optimizing control strategy and implemented on an evaporation process. In this method, the local optimal condition of a self optimizing control system is derived and this optimal condition is expressed as a gradient function in terms of the existing process measurements. This gradient function can then be used as a controlled variable to achieve local self optimization. Good results were obtained subject to noise free measurements but the performance deteriorates when measurement noise presents. This paper presents a method to overcome the detrimental effect of measurement noises on self-optimising control. Filtering the process measurements in conjunction with self-optimising control can reduce the effect of measurement noise on the process performance. The benefit of this method is quantified in terms of the total operating cost reduction compared to non-filtered gradient control. Operating cost comparison of a 10 hour period for various cases subject to the same disturbances clearly shows that the implementation of the proposed strategy reduces the operating cost.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Plantwide Control, Process Control, Self-Optimizing Control, Measurement Noise, Filtering.
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TP Chemical technology
Divisions: Faculty of Engineering > Department of Chemical Engineering
Depositing User: Rudy Agustriyanto, M.Sc 199005
Date Deposited: 01 Aug 2012 04:38
Last Modified: 01 Aug 2012 04:38
URI: http://repository.ubaya.ac.id/id/eprint/895

Actions (login required)

View Item View Item