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    BUILDING MANAGEMENT SYSTEM WITH TRIGGERED FEEDBACK SET-POINT SIGNAL FOR PERSISTENT EXCITATION
    2.
    发明申请
    BUILDING MANAGEMENT SYSTEM WITH TRIGGERED FEEDBACK SET-POINT SIGNAL FOR PERSISTENT EXCITATION 有权

    公开(公告)号：US20210018209A1

    公开(公告)日：2021-01-21

    申请号：US16516928

    申请日：2019-07-19

    Applicant: Johnson Controls Technology Company

    Inventor： Matthew J. Ellis ,  Anas W. I. Alanqar

    IPC: F24F11/65 ,  F24F11/59 ,  F24F11/46 ,  G05B13/04

    Abstract: An environmental control system for a building including heating, ventilation, or air conditioning (HVAC) equipment that operates to affect a temperature of a zone of the building. The system includes a temperature sensor to measure the temperature and a controller including a processing circuit. The processing circuit is configured to operate the HVAC equipment based on a temperature setpoint and gather training data indicating system dynamics. The processing circuit is configured to monitor a temperature tracking error of the zone and a heat transfer value of the HVAC equipment and determine if the HVAC equipment is in a saturation region based on the temperature tracking error and the heat transfer value. The processing circuit is configured to, in response to a determination that the HVAC equipment is in the saturation region, calculate an adjusted temperature setpoint and operate the HVAC equipment based on the adjusted temperature setpoint.

    CENTRAL PLANT OPTIMIZATION WITH OPTIMIZATION MODIFICATION
    3.
    发明申请
    CENTRAL PLANT OPTIMIZATION WITH OPTIMIZATION MODIFICATION 审中-公开

    公开(公告)号：US20200379447A1

    公开(公告)日：2020-12-03

    申请号：US16428548

    申请日：2019-05-31

    Applicant: Johnson Controls Technology Company

    Inventor： Jared W. Fread ,  Graeme Willmott ,  Ryan C. Beaty ,  Shawn A. Schlagenhaft ,  Matthew J. Ellis ,  Michael J. Wenzel

    IPC: G05B19/418

    Abstract: A control system for a central plant having subplants including devices operating to serve energy loads of a building. The system includes a high level optimization module that performs high level optimization of thermal loads subject to constraints to generate subplant load allocations. The control system includes a low level optimization module that performs low level optimization of the subplant load allocations to determine operating states for the devices. The control system includes a constraint modifier that modifies the constraints for the high level optimization module based on equipment schedules. The control system also includes a binary optimization modifier including a pruner module that receives the minimum off schedule to determine adjusted branches and a seeder module that receives the minimum on schedule to determine a starting node for use in binary optimization performed by the low optimization module.

    Building HVAC system with multi-level model predictive control
    4.
    发明授权
    Building HVAC system with multi-level model predictive control 有权

    公开(公告)号：US10809676B2

    公开(公告)日：2020-10-20

    申请号：US16601391

    申请日：2019-10-14

    Applicant: Johnson Controls Technology Company

    Inventor： Nishith R. Patel ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Robert D. Turney ,  Brett M. Lenhardt

    IPC: G05D7/00 ,  G05D11/00 ,  G05B13/04 ,  G05B15/02 ,  G05B17/02 ,  F24F11/62 ,  F24F11/30 ,  G05D7/06 ,  F24F11/46

    Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes indoor subsystems, a high-level controller, and low-level controllers. Each indoor subsystem includes one or more indoor units configured to provide heating or cooling to one or more building spaces. The high-level controller generates a plurality of indoor subsystem energy targets, each indoor subsystem energy target corresponding to one of the plurality of indoor subsystems and generated based on a thermal capacitance of one or more building spaces to which heating or cooling is provided by the corresponding indoor subsystem. Each low-level indoor controller corresponds to one of the indoor subsystems and generates indoor setpoints for the one or more indoor units of the corresponding indoor subsystem using the indoor subsystem energy target for the corresponding indoor subsystem and operates the one or more indoor units of the corresponding indoor subsystem using the indoor setpoints.

    BUILDING CONTROL SYSTEM WITH AUTOMATED KALMAN FILTER PARAMETER INITIATION AND SYSTEM IDENTIFICATION
    5.
    发明申请
    BUILDING CONTROL SYSTEM WITH AUTOMATED KALMAN FILTER PARAMETER INITIATION AND SYSTEM IDENTIFICATION 审中-公开

    公开(公告)号：US20200218991A1

    公开(公告)日：2020-07-09

    申请号：US16447724

    申请日：2019-06-20

    Applicant: Johnson Controls Technology Company

    Inventor： Anas W. I. Alanqar ,  Matthew J. Ellis

    IPC: G06N5/02 ,  G05B19/042

    Abstract: A building management system includes a processing circuit configured to perform a system identification process to identify one or more parameters of a system model that predicts a behavior of a building system. The one or more parameters include one or more model parameters and one or more Kalman gain parameters. The system identification process includes identifying the one or more model parameters, generating an initial guess of the one or more Kalman gain parameters based on the training data and results of a simulation that uses the one or more model parameters, and identifying the one or more Kalman gain parameters by initializing a prediction error minimization problem with the initial guess. The building management system also includes a controller configured to control building equipment to affect the behavior of the building system based on predictions of the system model.

    Building control system with heat load estimation using deterministic and stochastic models
    9.
    发明授权
    Building control system with heat load estimation using deterministic and stochastic models 有权

    公开(公告)号：US11454940B2

    公开(公告)日：2022-09-27

    申请号：US16418715

    申请日：2019-05-21

    Applicant: Johnson Controls Technology Company

    Inventor： Anas W. I. Alanqar ,  Matthew J. Ellis ,  Michael J. Wenzel ,  Mohammad N. ElBsat

    IPC: G05B13/04 ,  G06N20/00

    Abstract: An environmental control system for a building including building equipment operable to affect a variable state or condition of the building. The system includes a controller including a processing circuit. The processing circuit can obtain training data relating to operation of the building equipment and can perform a system identification process to identify parameters of a system model using the training data. The processing circuit can augment the system model with a disturbance model and estimate values of a historical heat disturbance in the training data based on the augmented system model. The processing circuit can train one or more heat disturbance models based on the training data and the estimated values. The processing circuit can predict a heat disturbance using the augmented system model along with the one or more heat disturbance models and can control the building equipment based on the predicted heat disturbance.

    Systems and methods for maintaining occupant comfort for various environmental conditions
    10.
    发明授权
    Systems and methods for maintaining occupant comfort for various environmental conditions 有权

    公开(公告)号：US11281173B2

    公开(公告)日：2022-03-22

    申请号：US16703514

    申请日：2019-12-04

    Applicant: Johnson Controls Technology Company

    Inventor： Robert D. Turney ,  Michael J. Wenzel ,  Mohammad N. Elbsat ,  Liming Yang ,  Matthew J. Ellis ,  Masayuki Nonaka

    IPC: G05B19/042

    Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.

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