Innovators have developed a peak-seeking algorithm that can reduce drag and improve performance and fuel efficiency by optimizing aircraft trim in real time. The algorithm determines a unique trim position for an aircraft by employing a time-varying Kalman filter to estimate the gradient of a performance function using in-flight measurements. Existing trim control systems pre-program position data into an aircraft’s computer, based on knowledge gained from test flights and wind tunnel experiments. In contrast, this innovation determines in real time the most fuel-efficient trim surface position by taking into account actual flight conditions and an aircraft’s physical condition. This customized approach results in maximum fuel efficiency for each particular aircraft.
Work to date: The Dryden team has validated the algorithm with a series of F-18 experiments.
Looking ahead: Future flight research efforts will work to further mature the technology and transition it to other aircrafts. For example, the team is current working with the U.S. Navy to study the potential benefits and costs of implementing the technology on the Super Hornet military aircraft. The group is also talking with the Navy and Lockheed Martin about testing the technology on the F-35 fighter jet.
|Organizations Performing Work||Role||Type||Location|
|Armstrong Flight Research Center (AFRC)||Lead Organization||NASA Center||Edwards, CA|
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