Patent classifications
B64U50/10
Machine comprising a hybrid powertrain and corresponding control method
An engine (100) is provided with a powertrain including a heat engine (1) and an output shaft (A1), an electric motor (2), a battery (40) for supplying the electric motor (2) and a propeller propulsion system including a propeller (3) and a propeller shaft (A3), to which the propeller (3) is coupled. The powertrain includes a system of clutches (E123, E14, E23, E324) designed for different configurations to selectively drive the propeller using the heat engine without transmission of the rotation of the electric motor to the propeller; using the electric motor without transmission of the rotation of the heat engine to the propeller; using combined transmission of the rotation of the heat engine and the rotation of the electric motor to the propeller. The electric motor includes a stator and a rotor mounted for rotation about a shaft rigidly connected, or capable of being coupled, to the propeller shaft.
SYSTEM AND METHOD FOR PROVIDING A SIMPLE AND RELIABLE INERTIA MEASUREMENT UNIT (IMU)
An inertia measurement unit including a housing assembly, a weight block assembly, a circuit board, and a signal line. The housing assembly includes a cavity and a first opening in communication with the cavity. The weight block assembly is arranged in the cavity of the housing assembly. The weight block assembly includes an inner chamber and a second opening in communication with the inner chamber. The circuit board is arranged in the inner chamber of the weight block assembly. The signal line is coupled to a first edge of the circuit board and extends out of the weight block assembly through the second opening and out of the housing assembly through the first opening. At least one of the first opening or the second opening is located proximal to a second edge of the circuit board that is different from the first edge of the circuit board.
Autonomous vehicle re-tasking during performance of a programmed task based on detection of a task interruption scenario
An example autonomous vehicle includes a communication interface for receiving instructions to perform a first task in an environment using a first strategy, sensors for detecting conditions in the environment to carry out the first task, data storage storing a plurality of task interruption scenarios each having an associated priority setting, and a processor for executing instructions for autonomous decision-making to perform functions. The functions include during performance of the first task, identifying that the conditions in the environment are associated with one of the plurality of task interruption scenarios, determining that the identified task interruption scenario is associated with a second task that has a higher priority setting than the first task, determining an asset needed to perform the second task, and based on the autonomous vehicle having the asset, autonomously (i) stopping performance of the first task and (ii) changing to perform the second task.
UAV-based sensing for worksite operations
A mobile machine includes controllable mechanism that performs a prescribed operation on a worksite as the mobile machine travels over the worksite in a direction of travel, and a communication system that receives attribute data indicative of an attribute corresponding to the worksite, and that receives effect data indicative of an effect of the prescribed operation being performed on the worksite. The mobile machine may further include a control system that generates a difference map indicative of a difference between the attribute data and the effect data, and that controls the controllable mechanism to adjust performance of the prescribed operation on the worksite, based on the difference.
Damage avoidance system for unmanned aerial vehicle using stored energy from descent
This disclosure describes an unmanned aerial vehicle (UAV) and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV has lost power and/or is falling at a rapid rate of descent such that, upon impact, there is a risk of damage to an object with which the UAV may collide. Upon detecting the risk of damage and prior to impact, the damage avoidance system activates a damage avoidance system having one or more protection elements that work in concert to reduce or prevent damage to the object upon impact by the UAV.
Autonomous Vehicle Re-Tasking During Performance of a Programmed Task based on Detection of a Task Interruption Scenario
An example autonomous vehicle includes a communication interface for receiving instructions to perform a first task in an environment using a first strategy, sensors for detecting conditions in the environment to carry out the first task, data storage storing a plurality of task interruption scenarios each having an associated priority setting, and a processor for executing instructions for autonomous decision-making to perform functions. The functions include during performance of the first task, identifying that the conditions in the environment are associated with one of the plurality of task interruption scenarios, determining that the identified task interruption scenario is associated with a second task that has a higher priority setting than the first task, determining an asset needed to perform the second task, and based on the autonomous vehicle having the asset, autonomously (i) stopping performance of the first task and (ii) changing to perform the second task.
System and method for providing a simple and reliable inertia measurement unit (IMU)
System and method can support a measurement module on a movable object. The measurement module includes a first circuit board with one or more sensors. Additionally, the measurement module includes a weight block assembly, wherein the weight block assembly is configured to have a mass that keeps an inherent frequency of the measurement module away from an operation frequency of the movable object. Furthermore, said first circuit board can be disposed in an inner chamber within the weight block assembly.
FLIGHT DEVICE
A flight device that can accurately perform attitude control with a sub-rotor is provided. The flight device 10 includes an airframe 19, an engine 30, motors 21, main rotors 14, and sub-rotors 15. The engine 30 rotates the main rotors 14. The motors 21 rotate the sub-rotors 15. The main rotors 14 are arranged below the sub-rotors 15. In the flight device 10, arranging the main rotors 14 below the sub-rotors 15 prevents the sub-rotors 15 from being affected by an air flow generated by rotation of the main rotors 14. Accordingly, the sub-rotors 15 can provide thrusts as designed by being rotated, and the position and the attitude of the airframe 19 can be accurately adjusted.
FLIGHT DEVICE
A flight device that can accurately perform attitude control with a sub-rotor is provided. The flight device 10 includes an airframe 19, an engine 30, motors 21, main rotors 14, and sub-rotors 15. The engine 30 rotates the main rotors 14. The motors 21 rotate the sub-rotors 15. The main rotors 14 are arranged below the sub-rotors 15. In the flight device 10, arranging the main rotors 14 below the sub-rotors 15 prevents the sub-rotors 15 from being affected by an air flow generated by rotation of the main rotors 14. Accordingly, the sub-rotors 15 can provide thrusts as designed by being rotated, and the position and the attitude of the airframe 19 can be accurately adjusted.
Autonomous vehicle re-tasking during performance of a programmed task based on detection of a task interruption scenario
An example autonomous vehicle includes a communication interface for receiving instructions to perform a first task in an environment using a first strategy, sensors for detecting conditions in the environment to carry out the first task, data storage storing a plurality of task interruption scenarios each having an associated priority setting, and a processor for executing instructions for autonomous decision-making to perform functions. The functions include during performance of the first task, identifying that the conditions in the environment are associated with one of the plurality of task interruption scenarios, determining that the identified task interruption scenario is associated with a second task that has a higher priority setting than the first task, determining an asset needed to perform the second task, and based on the autonomous vehicle having the asset, autonomously (i) stopping performance of the first task and (ii) changing to perform the second task.