A piloting assistance system for an aircraft includes a measuring module for measuring a vertical manoeuvre of the aircraft, a computational module for computing a first load factor from the measured vertical manoeuvre and from a setpoint vertical manoeuvre, a measuring module for measuring an inclination angle, a pitch rate and a pitch acceleration, a protection module including a computational submodule configured to compute a second load factor and a comparison submodule in order to compare the first and the second load factor in order to determine an applicable load factor equal to the minimum between the first and the second load factor, a computational module configured to compute elevator control from the applicable load factor and a sending module configured to send the elevator control to the automatic pilot.

An aircraft control system includes a longitudinal control module, an engine torque control module, and an actuator control system. The longitudinal control module is configured to generate a desired torque value and a desired elevator position value for an aircraft based on a desired airspeed value, a desired altitude value, an actual airspeed value, and an actual altitude value. The engine torque control module is configured to generate a desired power lever position value based on the desired torque value and a measured engine torque value that indicates a measured engine torque in the aircraft. The actuator control system is configured to generate a power lever position command and an elevator position command for the aircraft based on the desired power lever position value and the desired elevator position value.

A ground state determination system for an aircraft includes sensors configured to detect parameters of the aircraft and a flight control system implementing a ground state module. The ground state module includes a ground state monitoring module configured to monitor the parameters and a ground state determination module configured to compare each of the parameters monitored by the ground state monitoring module to a respective parameter threshold to determine whether the aircraft is on a surface.

Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.

Systems and methods for an energy managed autoflight function that enables maneuvers previously done by the speed-on-elevator modes to be achieved while maintaining the autoflight function in speed-on-throttle mode. An autoflight guidance algorithm and strategy replaces speed-on-elevator modes with an automatic flight path angle (Auto-FPA) mode that can control speed-controlled climbs and descents. The autoflight guidance algorithm and strategy provide (i) autothrust and autoflight coordination during speed-on-throttle modes, (ii) and Auto-FPA control law or mode, (iii) the Auto-FPA control law being configurable for fixed thrust modes, and (iv) a speed protection monitoring scheme.

An airborne platform includes an avionics controller circuit. The avionics controller circuit is configured to receive an ownship orientation from a sensor configured to detect the ownship orientation. The avionics controller circuit is configured to determine an orientation parameter based on the ownship orientation. The avionics controller circuit is configured to compare the orientation parameter to an orientation threshold. The avionics controller circuit is configured to determine the ownship to be in a wake vortex condition based on at least one wake vortex criteria, the at least one wake vortex criteria including the orientation parameter being greater than the orientation threshold for more than a predetermined period of time.

Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.

One aspect is a flight control system for a coaxial rotary wing aircraft including a main rotor system and an active elevator. The flight control system includes a flight control computer with processing circuitry that executes control logic. The control logic includes a gust detector that produces a gust error indicative of a wind gust encountered by the coaxial rotary wing aircraft. The control logic also includes a gust alleviation control that reduces lift on the main rotor system with collective, based on the gust error, and mixes a collective command to a main rotor cyclic and a differential cyclic to reduce an aircraft pitch response and a lift-offset change. The gust alleviation control also reduces a main rotor pitching moment with the main rotor cyclic, based on the gust error, and mixes a main rotor cyclic command to the active elevator to reduce the aircraft pitch response.

A piloting assistance system for an aircraft includes a measuring module for measuring a vertical manoeuvre of the aircraft, a computational module for computing a first load factor from the measured vertical manoeuvre and from a setpoint vertical manoeuvre, a measuring module for measuring an inclination angle, a pitch rate and a pitch acceleration, a protection module including a computational submodule configured to compute a second load factor and a comparison submodule in order to compare the first and the second load factor in order to determine an applicable load factor equal to the minimum between the first and the second load factor, a computational module configured to compute elevator control from the applicable load factor and a sending module configured to send the elevator control to the automatic pilot.

A method and system for determining in real time a vertical trajectory of an aircraft is provided. The method includes a step for providing an initial vertical trajectory comprising an initial phase for changing flight level according to a first slope, between a first point at a first altitude, and a second point at a second altitude, at least one step for modifying the vertical trajectory, comprising a phase for detecting a triggering element when the aircraft is at the first altitude, when said triggering element is detected, and a phase for determining a modified vertical trajectory, said modified vertical trajectory comprising a modified phase for changing flight level according to a second predefined slope, from a modified point at said first altitude, distinct from said first point, to said second altitude.