METHOD AND SYSTEM FOR CONTROLLING OF HEATING, VENTILATION AND AIR CONDITIONING
Predictive control system for heating, ventilation and air conditioning comprising controller (20), which comprises: superior layer (21) comprising a comfort questions module (211), a user preference information module (212) and a master algorithm module (213); direct higher layer (22) comprising th...
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creator | Ko osowski, Artur Borówka, Maciej Grychowski, Tomasz Kozyra, Andrzej Wrona, Stanis aw Pawe czyk, Marek Wiora, Józef |
description | Predictive control system for heating, ventilation and air conditioning comprising controller (20), which comprises: superior layer (21) comprising a comfort questions module (211), a user preference information module (212) and a master algorithm module (213); direct higher layer (22) comprising the dynamic models module (221) and the room regulator module (222); a direct lower layer (23) comprising a heat flux estimator module (231) and a device control module (232); microprocessor; room presence detectors (24), at least one actuator (25), data bus connected to memory and microprocessor.Computer-implemented predictive control method for heating, ventilation and air conditioning installations, in which in the superior layer (21) time course of the setpoint of the controlled quantity is determined (101) on the data base from the user regarding comfort, usual hours on the premises and fuzzy inference, (102) the time course of the setpoint of the controlled quantity is transmitted to the direct higher layer. In the direct higher layer (22) the parameters of the room model are continuously adapted (103) based on recorded control runs, controlled quantity and environmental parameters, using the evolutionary algorithm with local optimization, using the room model, the initial advanced reaction time is identified (104), the forecasted time course of the controlled quantity is determined (105), the advanced response time is optimized (106) by minimizing the error integral between the forecasted course of the controlled quantity and the time course of the controlled value setpoint, the optimal value of the time of advanced reaction and the shifted time course of the setpoint to the direct lower layer are transferred (107). In the direct lower layer (23) regulation (108) is made with the optimal time of advanced reaction, the value of the controlled quantity based on the shifted time course of the setpoint. |
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In the direct higher layer (22) the parameters of the room model are continuously adapted (103) based on recorded control runs, controlled quantity and environmental parameters, using the evolutionary algorithm with local optimization, using the room model, the initial advanced reaction time is identified (104), the forecasted time course of the controlled quantity is determined (105), the advanced response time is optimized (106) by minimizing the error integral between the forecasted course of the controlled quantity and the time course of the controlled value setpoint, the optimal value of the time of advanced reaction and the shifted time course of the setpoint to the direct lower layer are transferred (107). In the direct lower layer (23) regulation (108) is made with the optimal time of advanced reaction, the value of the controlled quantity based on the shifted time course of the setpoint.</description><language>eng ; fre ; ger</language><subject>AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIRCURRENTS FOR SCREENING ; BLASTING ; CONTROL OR REGULATING SYSTEMS IN GENERAL ; CONTROLLING ; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS ; HEATING ; LIGHTING ; MECHANICAL ENGINEERING ; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS ; PHYSICS ; RANGES ; REGULATING ; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES ; VENTILATING ; WEAPONS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210203&DB=EPODOC&CC=EP&NR=3771957A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210203&DB=EPODOC&CC=EP&NR=3771957A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ko osowski, Artur</creatorcontrib><creatorcontrib>Borówka, Maciej</creatorcontrib><creatorcontrib>Grychowski, Tomasz</creatorcontrib><creatorcontrib>Kozyra, Andrzej</creatorcontrib><creatorcontrib>Wrona, Stanis aw</creatorcontrib><creatorcontrib>Pawe czyk, Marek</creatorcontrib><creatorcontrib>Wiora, Józef</creatorcontrib><title>METHOD AND SYSTEM FOR CONTROLLING OF HEATING, VENTILATION AND AIR CONDITIONING</title><description>Predictive control system for heating, ventilation and air conditioning comprising controller (20), which comprises: superior layer (21) comprising a comfort questions module (211), a user preference information module (212) and a master algorithm module (213); direct higher layer (22) comprising the dynamic models module (221) and the room regulator module (222); a direct lower layer (23) comprising a heat flux estimator module (231) and a device control module (232); microprocessor; room presence detectors (24), at least one actuator (25), data bus connected to memory and microprocessor.Computer-implemented predictive control method for heating, ventilation and air conditioning installations, in which in the superior layer (21) time course of the setpoint of the controlled quantity is determined (101) on the data base from the user regarding comfort, usual hours on the premises and fuzzy inference, (102) the time course of the setpoint of the controlled quantity is transmitted to the direct higher layer. In the direct higher layer (22) the parameters of the room model are continuously adapted (103) based on recorded control runs, controlled quantity and environmental parameters, using the evolutionary algorithm with local optimization, using the room model, the initial advanced reaction time is identified (104), the forecasted time course of the controlled quantity is determined (105), the advanced response time is optimized (106) by minimizing the error integral between the forecasted course of the controlled quantity and the time course of the controlled value setpoint, the optimal value of the time of advanced reaction and the shifted time course of the setpoint to the direct lower layer are transferred (107). 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In the direct higher layer (22) the parameters of the room model are continuously adapted (103) based on recorded control runs, controlled quantity and environmental parameters, using the evolutionary algorithm with local optimization, using the room model, the initial advanced reaction time is identified (104), the forecasted time course of the controlled quantity is determined (105), the advanced response time is optimized (106) by minimizing the error integral between the forecasted course of the controlled quantity and the time course of the controlled value setpoint, the optimal value of the time of advanced reaction and the shifted time course of the setpoint to the direct lower layer are transferred (107). In the direct lower layer (23) regulation (108) is made with the optimal time of advanced reaction, the value of the controlled quantity based on the shifted time course of the setpoint.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIRCURRENTS FOR SCREENING BLASTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS HEATING LIGHTING MECHANICAL ENGINEERING MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS RANGES REGULATING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES VENTILATING WEAPONS |
title | METHOD AND SYSTEM FOR CONTROLLING OF HEATING, VENTILATION AND AIR CONDITIONING |
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