Pattern recognition-based supervision of indirect adaptation for better disturbance handling
An advanced pattern recognition-based supervision algorithm for an indirect adaptive controller is proposed. The aim is to improve performance under certain conditions that are common in the industrial environment, in which indirect adaptive controllers with simple supervision are known to perform p...
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| Veröffentlicht in: | ISA transactions 2007-10, Vol.46 (4), p.561-568 |
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| container_title | ISA transactions |
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| creator | Pregelj, Boštjan Strmčnik, Stanko Gerkšič, Samo |
| description | An advanced pattern recognition-based supervision algorithm for an indirect adaptive controller is proposed. The aim is to improve performance under certain conditions that are common in the industrial environment, in which indirect adaptive controllers with simple supervision are known to perform poorly or unreliably. Specifically, the problem of large invasive unmeasured disturbances of short or longer duration is addressed. The supervisor is designed to recognize such events as quickly as possible by analysis of recent control signals, without additional measurements. It applies appropriate strategies to prevent model degradation by learning from misleading data and to maintain acceptable performance under unfavorable conditions. As an illustration, it has been applied to the control of a model of a semi-cleanroom HVAC installation subsystem. |
| doi_str_mv | 10.1016/j.isatra.2007.03.001 |
| format | Article |
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The aim is to improve performance under certain conditions that are common in the industrial environment, in which indirect adaptive controllers with simple supervision are known to perform poorly or unreliably. Specifically, the problem of large invasive unmeasured disturbances of short or longer duration is addressed. The supervisor is designed to recognize such events as quickly as possible by analysis of recent control signals, without additional measurements. It applies appropriate strategies to prevent model degradation by learning from misleading data and to maintain acceptable performance under unfavorable conditions. 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| fulltext | fulltext |
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| ispartof | ISA transactions, 2007-10, Vol.46 (4), p.561-568 |
| issn | 0019-0578 1879-2022 |
| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Adaptative systems Adaptive control Air Conditioning - methods Algorithms Applied sciences Artificial Intelligence Computer science control theory systems Computer Simulation Control theory. Systems Disturbances Equipment Failure Analysis - methods Exact sciences and technology Feedback General equipment and techniques HVAC systems Identification Instruments, apparatus, components and techniques common to several branches of physics and astronomy Modelling and identification Models, Statistical Pattern recognition Pattern Recognition, Automated - methods Physics Servo and control equipment robots Supervision |
| title | Pattern recognition-based supervision of indirect adaptation for better disturbance handling |
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