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1055 results about "Set point" patented technology

Heating and cooling control methods and systems

The present invention is related to the field of heating, ventilation and air conditioning (HVAC). More particularly, the present invention is related to methods and systems for controlled heating and cooling in order to reduce costs and the carbon footprint of said heating and cooling by optimizing the use of fresh air ventilation. The present invention is directed to mathematical algorithms incorporated into a controller and a method of determining control signals that are dependent on said mathematical algorithms and user programming that integrates information from multiple sensors, thermostats as well as weather information. Used in any home or building, the controller controls heating, cooling and ventilation systems in order to reduce costs and the carbon footprint of said heating and cooling by optimizing the use of fresh air ventilation. The controller works with typical HVAC systems generally in buildings and homes. The Smart-Stat algorithms are programmed into the controller and enable the controller to identify user-determined set-points alongside data from one or multiple internal temperature sensors. The user-determined set-points are also linked to time of day and day of week in a manner typical for typical thermostat devices available today. In such typical thermostat devices the controller will call for cooling or heating depending on the set points and conditions determined by the sensors in the building. The present invention is capable of interrupting the call for cooling or heating depending on whether the mathematical algorithms identify suitable outside weather conditions that permit the use of outside air cooling or outside air heating. Thus the call for heating or cooling can be redirected to call for ventilation instead of heating or cooling.

Method and apparatus of a self-configured, model-based adaptive, predictive controller for multi-zone regulation systems

A control system simultaneously controls a multi-zone process with a self-adaptive model predictive controller (MPC), such as temperature control within a plastic injection molding system. The controller is initialized with basic system information. A pre-identification procedure determines a suggested system sampling rate, delays or “dead times” for each zone and initial system model matrix coefficients necessary for operation of the control predictions. The recursive least squares based system model update, control variable predictions and calculations of the control horizon values are preferably executed in real time by using matrix calculation basic functions implemented and optimized for being used in a S7 environment by a Siemens PLC. The number of predictions and the horizon of the control steps required to achieve the setpoint are significantly high to achieve smooth and robust control. Several matrix calculations, including an inverse matrix procedure performed at each sample pulse and for each individual zone determine the MPC gain matrices needed to bring the system with minimum control effort and variations to the final setpoint. Corrective signals, based on the predictive model and the minimization criteria explained above, are issued to adjust system heating/cooling outputs at the next sample time occurrence, so as to bring the system to the desired set point. The process is repeated continuously at each sample pulse.

Method and Apparatus for Pump Control Using Varying Equivalent System Characteristic Curve, AKA an Adaptive Control Curve

The present invention provides, e.g., apparatus comprising at least one processor; at least one memory including computer program code; the at least one memory and computer program code being configured, with at least one processor, to cause the apparatus at least to: respond to signaling containing information about an instant pressure and a flow rate of fluid being pumped in a pumping system, and obtain an adaptive control curve based at least partly on the instant pressure and flow rate using an adaptive moving average filter. The adaptive moving average filter may be based at least partly on a system flow equation: SAMAt=AMAF(Qt/√{square root over (ΔPt)}), where the function AMAF is an adaptive moving average filter (AMAF), and the parameters Q and ΔP are a system flow rate and differential pressure respectively. The at least one memory and computer program code may be configured to, with the at least one processor, to cause the apparatus at least to obtain an optimal control pressure set point from the adaptive control curve with respect to an instant flow rate or a moving average flow rate as SPt=MA(Qt)/SAMAt, where the function MA is a moving average filter (MA), to obtain a desired pump speed through a PID control.

Direct drive fan system with variable process control

The present invention is directed to a direct-drive fan system and a variable process control system for efficiently managing the operation of fans in a cooling system such a as wet-cooling tower or air-cooled heat exchanger (ACHE), HVAC systems, mechanical towers or chiller systems. The present invention is based on the integration of key features and characteristics such as tower thermal performance, fan speed and airflow, motor torque, fan pitch, fan speed, fan aerodynamic properties, and pump flow. The variable process control system processes feedback signals from multiple locations in order control a high torque, variable speed, permanent magnet motor to drive the fan. Such feedback signals represent certain operating conditions including motor temperature, basin temperature, vibrations, and pump flow rates. Other data processed by the variable process control system in order to control the motor include turbine back pressure set-point, condenser temperature set-point and plant part-load setting. The variable process control system processes this data and the aforesaid feedback signals to optimize the operation of the cooling system in order to prevent disruption of the industrial process and prevent equipment (turbine) failure or trip. The variable process control system alerts the operators for the need to conduct maintenance actions to remedy deficient operating conditions such as condenser fouling. The variable process control system increases cooling for cracking crude and also adjusts the motor RPM, and hence the fan RPM, accordingly during plant part-load conditions in order to save energy.
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