A system for use with a vehicle includes at least one device installed or present onboard the vehicle and configured to sense or determine at least one condition or characteristic of the vehicle or its driver. The at least one device communicates the condition or characteristic with a remote site or web service using a wireless communication device. The remote site or web service correlates or compares the condition or characteristic of the vehicle or its driver with road conditions, capacities, facilities, and/or established safety data associated with the upcoming roadway, and determines whether the vehicle should stop or enter a facility due to an incompatibility or conflict between the condition or characteristic and the road conditions, capacities, facilities, and/or established safety data. The remote site or web service then communicates the determination of whether the vehicle should stop or enter the facility to the device on the vehicle.

A system for use with a vehicle includes at least one device installed or present onboard the vehicle and configured to sense or determine at least one condition or characteristic of the vehicle or its driver. The at least one device communicates the condition or characteristic with a remote site or web service using a wireless communication device. The remote site or web service correlates or compares the condition or characteristic of the vehicle or its driver with road conditions, capacities, facilities, and/or established safety data associated with the upcoming roadway, and determines whether the vehicle should stop or enter a facility due to an incompatibility or conflict between the condition or characteristic and the road conditions, capacities, facilities, and/or established safety data. The remote site or web service then communicates the determination of whether the vehicle should stop or enter the facility to the device on the vehicle.

The present invention provides an improved Smith predictive controller-based aero-engine H∞ algorithm, and belongs to the technical field of aero-engine control and simulation. The present invention first establishes a reasonable small deviation linear model for an aero-engine nonlinear model, and selects the state space model data of a certain operating condition as the controlled object for controller design; selects appropriate performance index weighting function parameters, solves the H.sub.∞ output feedback controller, and adjusts the parameters to basically meet the control requirements; and designs a Smith predictive compensator with an improved structure based on a closed-loop feedback control system designed according to the H.sub.∞ control law to constitute a compound controller, adds a deviation correction controller designed according to the PID control law to the control system to stabilize the controlled object in view that the prediction model and parameters of the controlled object have large deviations from the real model and parameters, and makes adaptive corrections by comparing the output signals of the controlled object and the model so as to further enhance the robustness of the system.

The present invention provides an improved Smith predictive controller-based aero-engine H∞ algorithm, and belongs to the technical field of aero-engine control and simulation. The present invention first establishes a reasonable small deviation linear model for an aero-engine nonlinear model, and selects the state space model data of a certain operating condition as the controlled object for controller design; selects appropriate performance index weighting function parameters, solves the H.sub.∞ output feedback controller, and adjusts the parameters to basically meet the control requirements; and designs a Smith predictive compensator with an improved structure based on a closed-loop feedback control system designed according to the H.sub.∞ control law to constitute a compound controller, adds a deviation correction controller designed according to the PID control law to the control system to stabilize the controlled object in view that the prediction model and parameters of the controlled object have large deviations from the real model and parameters, and makes adaptive corrections by comparing the output signals of the controlled object and the model so as to further enhance the robustness of the system.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

The purpose of the present invention is to provide a device for controlling a dynamometer of a test system, wherein the device is capable of controlling shaft torque to a prescribed target torque while minimizing low-frequency-range resonance caused by viscous drag of a test piece. This test system is provided with a dynamometer joined to an engine via a coupling shaft, an inverter for supplying electric power to the dynamometer, a shaft torque meter for detecting the shaft torque produced in the coupling shaft, and a dynamometer-controlling device 6 for generating a torque-current command signal T2 that is sent to the inverter and is generated on the basis of a shaft torque detection signal T12 from the shaft torque meter. The dynamometer-controlling device 6 is provided with an integrator 62 for integrating the difference between the shaft torque detection signal 12 and a shaft torque command signal T12ref, and a phase lead compensator 63 for accepting an output signal from the integrator 62 as an input and performing a phase lead compensation process that uses constants (a1, b1) that are dependent on the viscous drag of the test piece. An output signal from the phase lead compensator 63 is used to generate the torque-current command signal T2.

The purpose of the present invention is to provide a device for controlling a dynamometer of a test system, wherein the device is capable of controlling shaft torque to a prescribed target torque while minimizing low-frequency-range resonance caused by viscous drag of a test piece. This test system is provided with a dynamometer joined to an engine via a coupling shaft, an inverter for supplying electric power to the dynamometer, a shaft torque meter for detecting the shaft torque produced in the coupling shaft, and a dynamometer-controlling device 6 for generating a torque-current command signal T2 that is sent to the inverter and is generated on the basis of a shaft torque detection signal T12 from the shaft torque meter. The dynamometer-controlling device 6 is provided with an integrator 62 for integrating the difference between the shaft torque detection signal 12 and a shaft torque command signal T12ref, and a phase lead compensator 63 for accepting an output signal from the integrator 62 as an input and performing a phase lead compensation process that uses constants (a1, b1) that are dependent on the viscous drag of the test piece. An output signal from the phase lead compensator 63 is used to generate the torque-current command signal T2.

Provided are a controller and a program with which it is possible to easily output the state of mechanical loss in an induction motor. A controller for controlling industrial machinery that has an induction motor comprises: an electric power cutoff unit that cuts off the supply of electric power to the induction motor; a speed acquisition unit that acquires the speed of the induction motor; an acceleration calculation unit that calculates acceleration on the basis of the acquired speed; a moment-of-inertia acquisition unit that acquires the moment of inertia of a spindle of the induction motor; a mechanical loss calculation unit that calculates mechanical loss in the induction motor on the basis of the acquired speed, the calculated acceleration, and the acquired moment of inertia; and an output unit that outputs the calculated mechanical loss.

Systems and methods are presented for monitoring shipping containers. A system comprises a shipping container, a sensing component, and a transmission device. The shipping container defines an interior compartment. The sensing component is positioned within the interior compartment and comprises one or more sensors, a sensing component battery, a sensing component microcontroller, and a communication chip. The one or more sensors sense atmospheric data. The sensing component microcontroller has a memory and receives the atmospheric data sensed by the one or more sensors at a predetermined interval and stores the atmospheric data in the memory. The transmission device is external to the interior compartment and comprises a receiver and a transmitter. The receiver receives data transmitted by the sensing component. The transmitter transmits the received data to a storage location. The transmission device is paired with the sensing component or an interior component contained within the interior compartment.

A method of monitoring a machine is described. The machine includes a mechanical system moved by a motor, where the mechanical system has more than two components coupled to each other. The two or more components move differently when the mechanical system is driven by the motor. The method includes repeatedly determining one movement factor of one of the components, and repeatedly determining one dynamic factor of one of the components. The movement factors of the remaining components are then calculated via a model of the mechanical system, and separate parameters for the components of the mechanical system are determined from the movement factor, the dynamic factor, and the calculated movement factors.