G05B19/048

CONTROL METHOD FOR UNMANNED AERIAL VEHICLE AFTER THE UNMANNED AERIAL VEHICLE HAS BEEN DISASSEMBLED AND UNMANNED AERIAL VEHICLE
20200108945 · 2020-04-09 ·

An unmanned aerial vehicle (UAV) including a detection device configured to detect that a disassembly operation has been performed on the UAV and a controller configured to determine whether the disassembly operation is an unauthorized disassembly operation, and prohibit the UAV from moving in response to the disassembly operation being the unauthorized disassembly operation, where the detection device is communicatively connected to the controller.

METHOD FOR HANDLING SUB-SYNCHRONOUS RESONANCES

The present invention relates to a method of controlling a doubly fed induction generator wind turbine converter system in case of a sub-synchronous resonance event, the method comprising the steps of detecting the sub-synchronous resonance event, and switching from a first control mode to a second control mode in response to detecting the predetermined event, wherein the second control mode comprises the step of setting at least one rotor current controller parameter on the basis of a generator speed of the doubly fed induction generator. The predetermined event may also be a fault ride through event. The present invention further relates to a doubly fed induction generator wind turbine converter system being capable of handling such events.

HEALTH SELF LEARNING SYSTEM AND METHOD FOR ELECTRICAL DISTRIBUTION SYSTEMS FOR AUTOMATED DRIVING VEHICLES

In at least one embodiment, an apparatus for adaptively performing diagnostics in a vehicle is provided. The apparatus includes at least one microcontroller and a communication controller. The at least one microcontroller is positioned in a vehicle and is configured to provide first information indicative of operating characteristics for at least one switch in the vehicle. The communication controller is configured to receive the first information from the at least one microcontroller and to wirelessly transmit the first information to a remote server. The communication controller is further configured to receive second information related to a remaining useful life (RUL) for the at least one switch from the remote server and to transmit the second information to the at least one microcontroller to determine when the at least one switch will exhibit a failure.

HEALTH SELF LEARNING SYSTEM AND METHOD FOR ELECTRICAL DISTRIBUTION SYSTEMS FOR AUTOMATED DRIVING VEHICLES

In at least one embodiment, an apparatus for adaptively performing diagnostics in a vehicle is provided. The apparatus includes at least one microcontroller and a communication controller. The at least one microcontroller is positioned in a vehicle and is configured to provide first information indicative of operating characteristics for at least one switch in the vehicle. The communication controller is configured to receive the first information from the at least one microcontroller and to wirelessly transmit the first information to a remote server. The communication controller is further configured to receive second information related to a remaining useful life (RUL) for the at least one switch from the remote server and to transmit the second information to the at least one microcontroller to determine when the at least one switch will exhibit a failure.

FRAMEWORK FOR DETERMINING RESILIENT MANIFOLDS
20200110881 · 2020-04-09 ·

According to some embodiments, a system, method and non-transitory computer-readable medium are provided to protect a decision manifold of a control system for an industrial asset, comprising: a detection and neutralization module including: a decision manifold having a receiver configured to receive a training dataset comprising data, wherein the decision manifold is operative to generate a first decision manifold with the received training dataset; and a detection model; a memory for storing program instructions; and a detection and neutralization processor, coupled to the memory, and in communication with the detection and neutralization module and operative to execute program instructions to: receive the first decision manifold, wherein the first decision manifold separates a normal operating space from an abnormal operating space; determine whether there are one or more inadequacies with the detection model; generate a corrected decision manifold based on the determined one or more inadequacies with the detection model; receive a projected adversary strategy; generate a resilient decision manifold based on the corrected decision manifold and received projected adversary strategy; and an output configured to output a neutralized signal to operate the industrial asset via the control system. Numerous other aspects are provided.

FRAMEWORK FOR DETERMINING RESILIENT MANIFOLDS
20200110881 · 2020-04-09 ·

According to some embodiments, a system, method and non-transitory computer-readable medium are provided to protect a decision manifold of a control system for an industrial asset, comprising: a detection and neutralization module including: a decision manifold having a receiver configured to receive a training dataset comprising data, wherein the decision manifold is operative to generate a first decision manifold with the received training dataset; and a detection model; a memory for storing program instructions; and a detection and neutralization processor, coupled to the memory, and in communication with the detection and neutralization module and operative to execute program instructions to: receive the first decision manifold, wherein the first decision manifold separates a normal operating space from an abnormal operating space; determine whether there are one or more inadequacies with the detection model; generate a corrected decision manifold based on the determined one or more inadequacies with the detection model; receive a projected adversary strategy; generate a resilient decision manifold based on the corrected decision manifold and received projected adversary strategy; and an output configured to output a neutralized signal to operate the industrial asset via the control system. Numerous other aspects are provided.

Shopping facility assistance systems, devices and methods to drive movable item containers

Some embodiments include a motorized transport unit providing customer assistance at a shopping facility, comprises: a transceiver; a control circuit; a motorized wheel system; a lift system; and a memory coupled to the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: activate a motorized wheel system, while continuing to monitor location information, to position the motorized transport unit under the item container and aligned, based on the location information, relative to a frame of the item container; and activate the lift system to lift on the frame of the item container lifting a first portion of the item container such one or more wheels of the item container are lifted off of a floor while two or more other wheels of the item container remain in contact with the floor.

System and methods for robotic autonomous motion planning and navigation

The present approach relates to navigation (e.g., route planning and movement) of robots in an indoor environment shared with humans. The present approach includes detecting human activity over time, including but not limited to human motion; modeling human activities using the historical human activity, and using the modeled human activity to plan robotic motion or movement.

System and methods for robotic autonomous motion planning and navigation

The present approach relates to navigation (e.g., route planning and movement) of robots in an indoor environment shared with humans. The present approach includes detecting human activity over time, including but not limited to human motion; modeling human activities using the historical human activity, and using the modeled human activity to plan robotic motion or movement.

Intelligent distributed industrial facility safety system
10613505 · 2020-04-07 · ·

Provided are systems and methods for intelligent distributed industrial facility safety systems. In some embodiments an industrial facility safety system includes remote sensing devices (RSDs) disposed throughout an industrial facility, and a facility safety control system (FSCS) adapted to collect safety data from the RSDs, determine current conditions of the industrial facility based on the safety data collected, determine that an alert condition exists based on the current conditions determined, identify an alert associated with the alert condition, generate the alert for presentation to personnel in the industrial facility, monitor a response to the presentation of the alert, and dynamically adjust an alert level for the alert condition based on the response.