Northrop Grumman wins MQ-4C Triton contract modification
16 June 2022
The prime has secured additional funding for the development of the unmanned ISR platform.
Northrop Grumman has been awarded a $15 million modification to a previously awarded, fixed-price incentive contract for the development of MQ-4C Triton high-altitude, long-endurance (HALE) platforms for the US Navy and the Royal Australian Air Force (RAAF).
The deal involves upgrading the unmanned platforms with Integrated Functional Capability 4.0 multiple intelligence configuration.
Most of the work (92.5 per cent) is set to be undertaken at the company’s facility in San Diego, California.
This comes just months after the US Department of Defense released the President’s fiscal year 2023 defence budget, which included a total of US$587.8 million ($785.1 million) in funding for the development of three MQ-4C Triton platforms.
This was despite previous reports suggesting the program could be scrapped following a halt in production due to an absence of funding in the FY21 budget.
Such reports reverberated across the Australian defence community, given the Commonwealth government’s commitment to procure at least six of the unmanned aerial systems as part of AIR 7000 Phase 1B program.
Northrop is currently contracted to develop three MQ-4C Tritons for the Royal Australian Air Force.
In December, Northrop Grumman announced an aircraft fuselage was mounted on the one-piece wing of Australia’s first MQ-4C Triton, on track for delivery in 2023.
This followed Northrop Grumman Australia’s delivery of the Triton Network Integration Test Environment (NITE) to Defence ahead of schedule.
Located at RAAF Base Edinburgh, NITE is expected to support the Chief Information Officer Group (CIOG) to configure and test the Triton network interfaces and systems ahead of delivery.
The Tritons are tipped to deliver over 24-hour endurance, collecting essential ISR data over land and sea to enable rapid, informed decision-making.
The HALE systems have also been designed to support future connectivity with the joint force, leveraging advanced autonomy and artificial intelligence/machine learning.
Source: Defence Connect