SELF OPTIMIZING CONTROL OF AN EVAPORATION PROCESS UNDER NOISY MEASUREMENTS
| Main Authors: | Agustriyanto, Rudy, Jie, Zhang |
|---|---|
| Format: | Proceeding PeerReviewed application/pdf |
| Terbitan: |
, 2006
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| Subjects: | |
| Online Access: |
http://repository.ubaya.ac.id/895/8/Agustriyanto_Self%20optimizing%20control_Abstract_2006.pdf http://repository.ubaya.ac.id/895/7/Agustriyanto_Self%20optimizing%20control_2006.pdf http://repository.ubaya.ac.id/895/9/Agustriyanto_Self%20optimizing%20control_Reference_2006.pdf http://ukacc.group.shef.ac.uk/proceedings/control2006/icc2006.htm http://repository.ubaya.ac.id/895/ |
Daftar Isi:
- 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.