A method and a system for rhythmic motion control of a robot based on a neural oscillator, including: acquiring a current state of the robot, and a phase and a frequency generated by the neural oscillator; and obtaining a control instruction according to the acquired current state, phase and frequency and a preset reinforcement learning network so as to control the robot. The preset reinforcement learning network includes an action space, a pattern formation network and the neural oscillator. A control structure designed by the present disclosure, which is composed of the neural oscillator and the pattern formation network, can ensure formation of an expected rhythmic motion behavior; and meanwhile, a designed action space for joint position increment can effectively accelerate the training process of rhythmic motion reinforcement learning, and solve a problem that design of the reward function is time-consuming and difficult in learning with existing model-free reinforcement learning.

An electrical system for an aircraft is disclosed, comprising: at least one processor configured to: receive first sensor data from at least one inertial sensor of the aircraft, wherein the first sensor data is indicative of a state of the aircraft, receive second sensor data from at least one of an airspeed sensor indicating an airspeed of the aircraft or a propeller speed sensor indicating a propeller speed of at least one propeller of the aircraft, and determine the state of the aircraft based on the first sensor data, wherein determining the state of the aircraft comprises filtering aircraft state measurements based on the second sensor data to lessen influence of propeller vibrations on at least one aircraft signal. The at least one processor is further configured to control the aircraft based on a pilot input command and the determined state of the aircraft.

Autonomous systems increase the robustness and safety of current aircraft and to support simplified vehicle, reduced crew, and single pilot operations. The autonomous systems aid air crews in their handling of non-normal, high workload, aircraft upset scenarios. The upset scenarios include the recovery from attitudes outside of the normal operating envelope that even the most robust automatic flight control systems currently in service today do not support.

Autonomous systems increase the robustness and safety of current aircraft and to support simplified vehicle, reduced crew, and single pilot operations. The autonomous systems aid air crews in their handling of non-normal, high workload, aircraft upset scenarios. The upset scenarios include the recovery from attitudes outside of the normal operating envelope that even the most robust automatic flight control systems currently in service today do not support.

A set of commands for each of a plurality of actuators to alter an aircraft's state responsive to one or more inputs is produced. The set of commands is provided to fewer than all actuators comprising the plurality of actuators.

A flight control device performs a flight control process for causing an eVTOL to fly. In a step of the flight control process, the flight control device determines whether the eVTOL is capable of maintaining a stable attitude. In the step, it is determined whether the eVTOL is capable of maintaining the stable attitude even if driving of an abnormal motor is stopped. In the step, it is determined whether the eVTOL is capable of maintaining the stable attitude even if the abnormal motor continues driving. When it is determined that the eVTOL is capable of maintaining the stable attitude, the flight control device performs output adjustment of at least one of a normal motor and the abnormal motor to maintain the eVTOL at the stable attitude.

A computer accesses a first symbolic expression for an output matrix as a function of an input matrix at a computing device comprising processing circuitry and memory. The computer computes a first Jacobian of the input matrix with respect to an input tangent space. The computer computes a second Jacobian of the output matrix with respect to the input matrix. The computer computes a third Jacobian of an output tangent space with respect to the input matrix. The computer applies symbolic matrix multiplication to the first Jacobian, the second Jacobian, and the third Jacobian to obtain a second symbolic expression for the output tangent space with respect to the input tangent space. The computer provides a representation of the second symbolic expression, the second symbolic expression representing a computed tangent-space Jacobian.

A machine and process for control of rotation of a vehicle about an axis of the vehicle is shown. A flight control system includes control laws that control the rotation of the vehicle around the axis of the vehicle. An estimate is derived for an inertia about the axis. The estimated inertia is derived from sensed quantities of material in a component of the vehicle. An inertia gain schedule and filter are added to enhance, using the estimated inertia, the accuracy of the control laws that control the rotation of the vehicle around the axis of the vehicle.

A multi-rotor UAV control method, a multi-rotor UAV, a control apparatus, and a non-volatile computer-readable storage medium are provided. The multi-rotor UAV control method includes: obtaining a power status of each rotor of the UAV; and when it is determined, based on the power status, that the power of any one of the rotors of the UAV fails, controlling the UAV to enter a balance mode. In the balance mode, the UAV rotates at an angular velocity greater than a first threshold, and a displacement of the UAV in the horizontal direction is less than a preset displacement amount.

In the event of a failed engine, an automatic takeoff thrust asymmetry compensation system (ATACS) for an aircraft improves capabilities to reduce VMCG and deal with the potential side-effects simultaneously. The system commands selected control surfaces (which can be e.g., rudder and/or ailerons and/or spoilers or any combinations thereof) for a short period of time, improving the capability to reduce the VMCG without increasing the penalty on system failures or poor handling qualities.