G05D7/0617

Electronic control of fluid operations for machines
11163322 · 2021-11-02 · ·

A system. The system includes a control module of a fluid system of a machine, a battery, a fluid component and an electrical circuit. The electrical circuit is configured to electrically couple the battery to the control module via the fluid component, and to activate the control module when the machine is powered down.

Hydronic building systems control

Controlling heating and cooling in a conditioned space utilizes a fluid circulating in a thermally conductive structure in fluid connection with a hydronic-to-air heat exchanger and a ground heat exchanger. Air is moved past the hydronic-to-air heat exchanger, the air having fresh air supply and stale air exhaust. Sensors located throughout the conditioned space send data to a controller. User input to the controller sets the desired set point temperature and humidity. Based upon the set point temperature and humidity and sensor data, the controller sends signals to various devices to manipulate the flow of the fluid and the air in order to achieve the desired set point temperature and humidity in the conditioned space. The temperature of the fluid is kept less than the dew point at the hydronic-to-air heat exchanger and the temperature of the fluid is kept greater than the dew point at the thermally conductive structure.

Co-ordinated sensorless control system

A method and system for co-ordinating control of a plurality of sensorless devices. Each device includes a communication subsystem and configured to self-detect one or more device properties, the device properties resulting in output having one or more output properties. The method includes: detecting inputs including the one or more device properties of each device, correlating, for each device, the detected one or more device properties to the one or more output properties, and co-ordinating control of each of the devices to operate at least one of their respective device properties to co-ordinate one or more output properties for the combined output to achieve a setpoint. In some example embodiments, the setpoint can be fixed, calculated or externally determined.

Hydronic building systems control

Controlling heating and cooling in a conditioned space utilizes a fluid circulating in a thermally conductive structure in fluid connection with a hydronic-to-air heat exchanger and a ground heat exchanger. Air is moved past the hydronic-to-air heat exchanger, the air having fresh air supply and stale air exhaust. Sensors located throughout the conditioned space send data to a controller. User input to the controller sets the desired set point temperature and humidity. Based upon the set point temperature and humidity and sensor data, the controller sends signals to various devices to manipulate the flow of the fluid and the air in order to achieve the desired set point temperature and humidity in the conditioned space. The temperature of the fluid is kept less than the dew point at the hydronic-to-air heat exchanger and the temperature of the fluid is kept greater than the dew point at the thermally conductive structure.

Self Learning Control System and Method for Optimizing a Consumable Input Variable
20230350353 · 2023-11-02 ·

A control system for an operable system such as a flow control system or temperature control system. The system operates in a control loop to regularly update a model with respect at least one optimizable input variable based on the detected variables. The model provides prediction of use of the input variables in all possible operation points or paths of the system variables which achieve an output setpoint. In some example embodiments, the control loop is performed during initial setup and subsequent operation of the one or more operable elements in the operable system. The control system is self-learning in that at least some of the initial and subsequent parameters of the system are determined automatically during runtime.

Co-Ordinated Sensorless Control System
20230350352 · 2023-11-02 ·

A method and system for co-ordinating control of a plurality of sensorless devices. Each device includes a communication subsystem and configured to self-detect one or more device properties, the device properties resulting in output having one or more output properties. The method includes: detecting inputs including the one or more device properties of each device, correlating, for each device, the detected one or more device properties to the one or more output properties, and co-ordinating control of each of the devices to operate at least one of their respective device properties to co-ordinate one or more output properties for the combined output to achieve a setpoint. In some example embodiments, the setpoint can be fixed, calculated or externally determined.

Sensor-based interruption of an irrigation controller

Some embodiments provide a system and method for interfacing with an irrigation controller based on rainfall, the system comprising: an interface unit including a housing and a control unit within the housing and configured to: cause an interruption of one or more watering schedules executed by the irrigation controller, which is separate from the interface unit, based on signaling received from a rain sensor including hygroscopic material, when a sensed expansion of the hygroscopic material is above a set rainfall accumulation threshold parameter, the rain sensor being separate from the interface unit and the hygroscopic material being configured to expand in response to being contacted by the rainfall and to contract in response to an absence of the rainfall; and remove the interruption after a completion of a predetermined interval of time after a sensed contraction of the hygroscopic material indicative of a rainfall stop.

Self learning control system and method for optimizing a consumable input variable

A control system for an operable system such as a flow control system or temperature control system. The system operates in a control loop to regularly update a model with respect at least one optimizable input variable based on the detected variables. The model provides prediction of use of the input variables in all possible operation points or paths of the system variables which achieve an output setpoint. In some example embodiments, the control loop is performed during initial setup and subsequent operation of the one or more operable elements in the operable system. The control system is self-learning in that at least some of the initial and subsequent parameters of the system are determined automatically during runtime.

POWER CONVERTER FOR INTEGRATED CONTROL OF ELECTRIC OIL PUMPS

Disclosed herein is a power converter for integrated control of electric oil pumps, which includes a power conversion module configured to receive a direct current voltage to convert the same into an alternating current voltage and to output the converted alternating current voltage to a drive motor, and a control unit configured to control the power conversion module and to control actuation of an oil pump for generating hydraulic pressure in a transmission. The control unit includes a control board, a main controller installed in a partial region of the control board to supply power to the drive motor and to control the power conversion module, and an oil pump controller installed in a remaining region other than the partial region, connected to the main controller, and configured to supply power to a pump motor for actuating the oil pump and to control the oil pump.

Methods for determining fluidic flow configurations in a pool system
11523968 · 2022-12-13 · ·

One aspect of the invention provides a computer-implemented method for controlling a swimming pool or spa system. The computer-implemented method includes: creating a data structure representing a plurality of swimming pool system components and fluidic connections between subsets of the plurality of swimming pool system components; receiving a request to control one or more of the plurality of swimming pool system components; calculating fluidic flows through the plurality of swimming pool system components based on one or more potential configurations of the plurality of swimming pool system components capable of fulfilling the request; and detecting whether the one or more potential configurations result in unsatisfactory conditions.