A controller for a well system automatically profiles the system, detects a pre-charge of an associated pressurized storage tank, and automatically configures pressure-based control of a pump based on the detected pre-charge. The controller determines the pre-charge of the pressurized storage tank while the tank is connected to the system. While monitoring a system pressure, the controller activates the pump to initiate a filling operation of the pressurized storage tank. The controller analyzes a change in system pressure during the filling operation to determine the pre-charge of the pressurized storage tank. With the pre-charge determined, the controller automatically configures pressure settings for pressure-based control of the pump.

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.

A fluid-dynamic pump which is suitable for circulating water in an aquarium includes a rotary device, an electric motor configured to move the rotary device, a pump body which houses a printed circuit board which that controls the electric motor and a temperature sensor that detects the temperature of the water of the aquarium. The temperature sensor is positioned on the pump body.

The present disclosure relates generally to well operations. The present disclosure relates more particularly to a systems and methods for independently and/or simultaneously treating multiple wells from a centralized location using a split flow pumping system configuration. The split flow pumping system configuration may comprise one or more blenders, one or more boost pumps, a pumping system comprising one or more pumps, a component storage system, and a fluid storage system for treatment of two or more wells using two or more treatment compositions. The split flow pumping system configuration may comprise one or more controllers for controlling the one or more blenders, the one or more boost pumps, the pumping system comprising one or more pumps, the component storage system, and the fluid storage system. The system may comprise one or more sensors for collecting data corresponding to the one or more pressures, flow rates, injection rates, compositions, temperatures, and densities of at least one of the first composition and the second composition, wherein the controller controls the one or more pressures, flow rates, injection rates, compositions, temperatures, and densities of at least one of the first composition and the second composition based, at least in part, on the data.

A variable frequency drive system and a method of controlling a pump driven by a motor with the pump in fluid communication with a fluid system is provided. The method includes monitoring a pressure in the fluid system, monitoring and adjusting an operating frequency of the motor to maintain the pressure at a pressure set point, and, based on the monitored operating frequency, causing the pump to temporarily boost the pressure in the fluid system to a temporary boost set point for a first time period. The method also includes determining whether the temporarily boosted pressure in the fluid system stays above the pressure set point for a second time period and causing the pump to enter a sleep mode when the temporarily boosted pressure stays above the pressure set point through the second time period.

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.

A pump having a drive unit with an electric motor, a hydraulic unit connected to the electric motor, and an integrated control unit operatively connected to the electric motor and configured for monitoring and controlling the pump. An integrated pressure sensor, connected to the control unit, has a fixed reference pressure. The control unit determines a liquid level of a liquid surrounding the pump based on a relation between an actual value of the pressure sensor and a reference value. A method for calibrating the pump comprises initiating pumping, continuing pumping until the liquid level is equal to a predetermined calibration level, determining the actual pressure value when the liquid level is equal to the predetermined calibration level, and calibrating the pump by setting a new reference pressure value corresponding to the actual pressure value.

A method is provided for controlling a pump driven by a motor with the motor connected to a drive. The method can include determining a parameter value related to a fault condition, comparing the parameter value to a threshold value, and adjusting a speed control of the drive based on the comparison of the determined parameter to the threshold value.

A compressed air supply apparatus for heavy vehicles includes a service reservoir, an air dryer in communication with the service reservoir, a purge reservoir in communication with the air dryer, a compressor for delivering compressed air through the air dryer preferentially to the purge reservoir and then to the service reservoir and a controller. The controller interrupts the charge cycle of the compressor in response to a moisture accumulation value being equal to or exceeding a wetness threshold value and the pressure in the service reservoir being within a predetermined pressure range. The controller then initiates a modified purge cycle of the air dryer, which includes iteratively regenerating the air dryer with air from the purge reservoir until at least one of the moisture accumulation value is less than the wetness threshold value and the pressure in the service reservoir is outside the predetermined pressure range.

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.