Engine Control Laws and Fuel System Control Design Engineer II - Onsite

Date Posted:  Country:
United States of America

Location:

US-CT-EAST HARTFORD-OBF2 ~ 400 Main St ~ BLDG OBF2 Position Role Type:
Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type:
DoD Clearance:
Secret Security Clearance Status:
Active and existing security clearance required after day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can.

Together, they push the boundaries of known science and find new ways to connect and protect our world.

• In this role you will lead development of model predictive propulsion control algorithms, engine parameter estimation algorithms, and model predictive fuel control systems.
• Model predictive control algorithms coordinate multiple system inputs to optimize engine and fuel system operation.
• Plan and develop model predictive control and parameter estimation algorithms for military and commercial engine programs.
• Develop engine, actuation, and fuel system dynamic models and apply these models for development of functional requirements for control law algorithms, fuel system and actuation dynamics.
• Develop model-based sensor and actuator fault detection, isolation, and accommodation (FDIA) algorithms.
• Collaborate with internal customers/stakeholders to identify opportunities for control law product and process improvements.
• Participating in improving process and standards for development, validation, and verification of engine control laws, fuel system control laws, and FDIA algorithms.

• Gas turbine engine control law theory and practice.
• Realtime gas turbine engine modeling and analysis.
• State estimation for gas turbine engine performance estimation.
• Engine operability and performance.
• Engine control law software verification and validation.

• Master's degree in Science, Technology, Engineering or Mathematics (STEM) obtained by start date.
• Minimum 3.0 GPA.
• Proficiency in one or more of the following technical areas: multivariable feedback control, model predictive control, numerical optimization, state estimation, stability analysis of multivariable and hybrid systems, real-time propulsion system and fuel system dynamic modeling, simulation, and dynamic analysis.

• Expertise developing physics-based models of turbo-machinery components by applying principles and methods from thermodynamics, aerodynamics, and heat transfer and integrating component models into a numerically robust system model.
• Expertise developing physics-based models of fuel systems and fueldraulic actuation systems.
• Expertise developing dynamic models using the Modelica modeling language.
• Expertise designing and analyzing estimation algorithms by applying methods and tools from multi-input multi-output dynamical linear system and estimation theory.
• Expertise applying statistical models and methods for modeling uncertainty propagation in dynamical systems.
• Experience with Matlab and Simulink.

At RTX we value:
Trust, Respect, Accountability, Collaboration, and innovation.

Onsite:
Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our…