A multi-modal aircraft recovery system is disclosed. In various embodiments, the system includes a first aircraft recovery parachute having a first set of physical attributes optimized for a first set of conditions and a second aircraft recovery parachute having a second set of physical attributes optimized for a second set of conditions different from the first.

An enhanced automatic activation device (EAAD) is provided. The EAAD includes a housing; a plurality of environmental sensors disposed within the housing; a connection to a reserve canopy deployment mechanism, the connection being disposed at least partially within the housing; and a processor coupled to the plurality of environmental sensors and the connection. The processor is configured to execute a machine learning process. The machine learning process is configured to classify environmental data from the plurality of environmental sensors into either a first group associated with nominal deployment of a main canopy of a parachute rig or a second group associated with failed deployment of the main canopy of the parachute rig. The processor is also configured to transmit a signal to the reserve canopy deployment mechanism where the machine learning process classifies the environmental data within the second group.

An enhanced automatic activation device (EAAD) is provided. The EAAD includes a housing; a plurality of environmental sensors disposed within the housing; a connection to a reserve canopy deployment mechanism, the connection being disposed at least partially within the housing; and a processor coupled to the plurality of environmental sensors and the connection. The processor is configured to execute a machine learning process. The machine learning process is configured to classify environmental data from the plurality of environmental sensors into either a first group associated with nominal deployment of a main canopy of a parachute rig or a second group associated with failed deployment of the main canopy of the parachute rig. The processor is also configured to transmit a signal to the reserve canopy deployment mechanism where the machine learning process classifies the environmental data within the second group.

A multi-modal aircraft recovery system is disclosed. In various embodiments, the system includes a first aircraft recovery parachute having a first set of physical attributes optimized for a first set of conditions and a second aircraft recovery parachute having a second set of physical attributes optimized for a second set of conditions different from the first.

A multi-modal aircraft recovery system is disclosed. In various embodiments, the system includes a first aircraft recovery parachute having a first set of physical attributes optimized for a first set of conditions and a second aircraft recovery parachute having a second set of physical attributes optimized for a second set of conditions different from the first.

A multi-staged suspension line length parachute may include a suspension line having a primary length and a secondary length. The primary length may be deployable upon a first deployment of the multi-staged suspension line length parachute. The secondary length may be prevented from deployment until the primary length has fully deployed. An attenuator may attach a first portion of the secondary length to a second portion of the secondary length.

A system for deploying loads out of an aircraft comprises an aerial delivery parachute with an aerial-delivery parachute line and an activation means for placing the aerial delivery parachute in an enveloping flow past the aircraft. Within the aircraft a receiving device can be positioned that receives a tractive force acting on the aerial-delivery parachute line, which tractive force has been determined by a force measuring device and has been transmitted by way of a transmitting device. With the knowledge of the tractive force it is possible both to implement emergency release and to assess whether an aerial delivery parachute has correctly deployed in the flow enveloping the aircraft.

A system for deploying loads out of an aircraft comprises an aerial delivery parachute with an aerial-delivery parachute line and an activation means for placing the aerial delivery parachute in an enveloping flow past the aircraft. Within the aircraft a receiving device can be positioned that receives a tractive force acting on the aerial-delivery parachute line, which tractive force has been determined by a force measuring device and has been transmitted by way of a transmitting device. With the knowledge of the tractive force it is possible both to implement emergency release and to assess whether an aerial delivery parachute has correctly deployed in the flow enveloping the aircraft.

A selection is made between single stage and multistage parachute deployment for a vehicle based at least in part on vehicle state information. In the event multistage parachute deployment is selected, a drogue parachute is deployed during a first deployment stage and afterwards, a main parachute is deployed during a second deployment stage. In the event single stage parachute deployment is selected, at least the main parachute is deployed in a single stage where in the event the drogue parachute is deployed during the single stage, the drogue and main parachute are deployed simultaneously.

A selection is made between single stage and multistage parachute deployment for a vehicle based at least in part on vehicle state information. In the event multistage parachute deployment is selected, a drogue parachute is deployed during a first deployment stage and afterwards, a main parachute is deployed during a second deployment stage. In the event single stage parachute deployment is selected, at least the main parachute is deployed in a single stage where in the event the drogue parachute is deployed during the single stage, the drogue and main parachute are deployed simultaneously.