Abstract:
A method includes determining first and second communication paths from a leaf node of a plurality of leaf nodes to first and second gateway nodes, respectively, of a plurality of gateway nodes. The first and second communication paths may include first and second intermediate nodes, respectively, of a plurality of intermediate nodes. A wireless message is sent from the leaf node to the first and second gateway nodes via the first and second communication paths, respectively. Information in the wireless message is communicated from at least one of the first and second gateway nodes to a component of a process control system.
Abstract:
Method and system for controlling cylinder to cylinder variations of undesirable emissions in exhaust gas of engines with exhaust gas recirculation. An engine model is used to predict the intake composition of the next cylinder firing based on the composition of the exhaust, as a function of time and applicable engine conditions. At least one engine parameter is adjusted to compensate for the predicted intake composition in order to minimize cylinder to cylinder variations.
Abstract:
A multivariable controller that models the interaction between groups of sensors and groups of actuators during the operation of an engine. By accounting for the interactive effects that a group of actuators has on a sensor or group of sensors, improved system performance may be achieved. When emission sensors are used, such as NOX and/or PM sensors, the multivariable controller may help control the various engine actuators to reduce emissions of the engine.
Abstract:
Systems and methods for controlling automotive powertrains using a distributed control architecture are disclosed. A distributed control system may include a supervisory control unit for controlling one or more powertrain subsystems, and one or more subsystem control units in communication with the supervisory control unit. The supervisory control unit can be configured to execute a central optimization algorithm that computes variables from across multiple powertrain subsystems, and then outputs a number of globally approximated command values to each associated subsystem control unit. In some embodiments, the central optimization algorithm can be configured to solve a global cost function or optimization routine. One or more of the subsystem control units can be configured to execute a lower-level algorithm or routine, which can comprise a higher-fidelity model than that used by the central optimization algorithm.
Abstract:
A multivariable controller that models the interaction between groups of sensors and groups of actuators during the operation of an engine. By accounting for the interactive effects that a group of actuators has on a sensor or group of sensors, improved system performance may be achieved. When emission sensors are used, such as NOX and/or PM sensors, the multivariable controller may help control the various engine actuators to reduce emissions of the engine.
Abstract:
Air scrubbers and approaches for removing CO2, SO2, and other gaseous contaminates from gas emissions. An approach for removing a gaseous contaminant from a gas emission may include providing a supply of an ionic liquid. The gaseous contaminant may be absorbable in the ionic liquid. The approach may also include spraying the ionic liquid into the gas emission. The gaseous contaminant in the gas emission may be absorbed in the ionic liquid. The ionic liquid having the gaseous contaminant absorbed therein may be collected on a counter electrode and separated from the gas emission. Spraying the ionic liquid into a gas emission may include ultrasound agitation of the ionic liquid. The approach may also include venting the gas emission having the gaseous contaminant separated therefrom.
Abstract:
Systems for active feedback and control of the steering response in a vehicle. More particularly, torque sensor based steering response systems for vehicles which allow for distinctive and customized driving feel characteristics through improved feedback of tire-surface interactions. The systems of the invention automatically translate the torque exerted on the vehicle wheels to a torque exerted on the vehicle steering wheel, achieving a human perception of a steering response as desired by the driver or as desired by the manufacturer. New advances in torque sensing based on surface acoustic waves enhance the active feedback systems of the invention with improved accuracy and reliability.
Abstract:
A network between customers generating service requests and vendors capable of electronically fulfilling the service requests includes a system for monitoring, controlling, and administering work flows associated with the service requests. A main controller creates and controls a first work flow record associated with a first service request for storage in a storage device. The main controller also receives work flow elements including messages, data files, software applications, and documents from a first customer and a first vendor associated with the first work flow, stores the work flow elements in the storage device, and transfers the work flow elements to the first customer and the first vendor. An accounting controller associated with the main controller identifies fees associated with the first work flow and stores fee data associated with the fees in the first work flow record.
Abstract:
A catalyst system that may regenerate while removing pollutants from an exhaust gas of an engine. The system may have a converter with multiple segments of chambers. At least one of the chambers may be regenerated while the remaining chambers are removing pollutants from the exhaust. The chambers may be rotated in turn for one-at-a-time regeneration. More than one chamber may be regenerated at a time to remove collected pollutants. The system may have plumbing and valves, and possibly mechanical movement of the chambers, within the system to effect the changing of a chamber for regeneration. The chambers connected to the exhaust may be in series or parallel. A particulate matter filter may be connected to the system, and it also may be regenerated to remove collected matter.
Abstract:
The method of making the tool, for process system identification that is based on the general purpose learning capabilities of neural networks. The method can be used for a wide variety of system identification problems with little or no analytic effort. A neural network is trained using a process model to approximate a function which relates process input and output data to process parameter values. Once trained, the network can be used as a system identification tool. In principle, this approach can be used for linear or nonlinear processes, for open or closed loop identification, and for identifying any or all process parameters.