Abstract:
A method includes a step of obtaining in a processing circuit a sequence of elements between a first device and a supply air temperature sensor of an air handling unit. The processing circuit also obtains an estimate for time constants associated with each element of the sequence. The processing circuit adds the time constants to obtain a process time constant estimate. The method further includes controlling a device based at least in part on the process time constant estimate.
Abstract:
A Model-Free Adaptive Quality Variable control system is disclosed for effectively controlling quality variables on-line in closed-loop fashion. It is able to automatically control quality variables under the conditions where there are significant varying time delays and disturbances in the process. Because of its unique capability, the control system is useful for building flexible and adaptive production systems, achieving Six Sigma quality control goals, and fulfilling the on demand manufacturing needs in the new e-commerce environment.
Abstract:
An arrangement for use in connection with an air handling unit includes a controller and a processing circuit. The controller is configured to control a device within an air handler unit, which includes at least a first coil. The processing circuit is configured to receive first information representative of a maximum liquid flow rate through the first coil and second information representative of a maximum air flow rate of the first coil. The processing circuit is further configured to generate a time constant estimate, based on the first information and second information, for use in the controller in performing control of the device.
Abstract:
A Model-Free Adaptive Quality Variable control system is disclosed for effectively controlling quality variables on-line in closed-loop fashion. It is able to automatically control quality variables under the conditions where there are significant varying time delays and disturbances in the process. Because of its unique capability, the control system is useful for building flexible and adaptive production systems, achieving Six Sigma quality control goals, and fulfilling the on demand manufacturing needs in the new e-commerce environment.
Abstract:
The Scalable and Redundant Mini-inverters as described in this invention include double, triple, or quadruple redundant capabilities so that the Mini-inverters can work in a harsh environment for a prolonged period of time. A number of regular, redundant, triple redundant, or quadruple redundant Mini-inverters with one, two, three, or multiple input channels in a mixed variety can easily connect to one, two, three, or multiple DC power sources such as solar PV modules, invert the DC power to AC power, and daisy chain together to generate AC power to the power grid.
Abstract:
A method and apparatus is disclosed for intelligently inverting DC power from DC sources such as photovoltaic (PV) solar modules to single-phase or three-phase AC power to supply power for off-grid applications. A number of regular or redundant off-grid Mini-Inverters with one, two, three, or multiple input channels in a mixed variety can easily connect to one, two, three, or multiple DC power sources such as solar PV modules, invert the DC power to AC power, and daisy chain together to generate and supply AC power to electrical devices that are not connected to the power grid including motors, pumps, fans, lights, appliances, and homes.
Abstract:
An enclosure design is disclosed to accommodate and support the unique features and capabilities of the Smart and Scalable Power Inverters or Mini-Inverters that have multiple input channels to easily connect to multiple solar PV panels, invert the DC power to AC power, and daisy chain together to generate AC power to feed the power grid or supply power to electrical devices. Further disclosed is a message system using LEDs (light-emitting diodes) mounted on the enclosure to indicate the system status and the status of each input channel of the Smart and Scalable Mini-Inverters.
Abstract:
A novel 3-Input-3-Output (3×3) Model-Free Adaptive (MFA) controller with a set of artificial neural networks as part of the controller is introduced. A 3×3 MFA control system using the inventive 3×3 MFA controller is described to control key process variables including Power, Steam Throttle Pressure, and Steam Temperature of boiler-turbine-generator (BTG) units in conventional and advanced power plants. Those advanced power plants may comprise Once-Through Supercritical (OTSC) Boilers, Circulating Fluidized-Bed (CFB) Boilers, and Once-Through Supercritical Circulating Fluidized-Bed (OTSC CFB) Boilers.
Abstract:
A method and apparatus is disclosed for intelligently inverting DC power from DC sources such as photovoltaic (PV) solar modules to single-phase or three-phase AC power to feed the power grid for electricity generation. A number of smart single-input, dual-input, triple-input, quad-input, and multiple-input power inverters in a mixed variety can easily connect to single, dual, triple, quad, and multiple DC power sources, invert the DC power to AC power, and daisy chain together to generate a total power, which is equal to the summation of the AC power supplied by each smart and scalable power inverter of this invention.
Abstract:
An apparatus and method is disclosed for automatically controlling multi-input-single-output (MISO) systems or processes. The control output signal of a single-input-single-output (SISO) automatic controller is converted by a reverse, sequential or combined split-range setter into a plurality of ranges of signals so that the SISO controller is converted to a single-input-multi-output (SIMO) automatic controller based on certain criteria; and the resulting controller output signals are able to manipulate a plurality of actuators to control one continuous process variable in different operating conditions. Without the need of building process mathematical models, this inventive apparatus and method is useful for automatically controlling unevenly paired multivariable systems or processes where there are more system inputs than outputs including but not limited to pH processes, chemical reactors, and air handling units.