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The order, to inspect a variety of components in the stabilizer's assembly, including the jackscrew that moves it, follows the crash last week of an Alaska Airlines MD-83 whose crew had reported a stabilizer problem.
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But even before information from the flight data recorder was available, aviation experts said that stabilizer trim problems did not make planes crash.
This paper proposes an efficient optimization algorithm named chaotic teaching learning algorithm (CTLA), to solve multimachine power system stabilizers design problem.
Further, the proposed ILCOA is tested; it is employed to solve a single-machine Power System Stabilizer (PSS) design problem and its promising features in comparison with LCOA are highlighted.
Enlarging the vertical stabilizer cured this last problem and hydraulic boosters were fitted for the control system.
A technique for tuning FACTS-based stabilizers as an optimization problem is presented.
The design problem of stabilizers is converted to a nonlinear optimization problem with a multi-objective fitness function.
Aviation experts said that this could indicate that the crew recognized a problem with the stabilizer soon after takeoff.
The cockpit crew reported an intermittent problem with the stabilizer trim while the plane was climbing to 13,000 feet, people involved in the incident said.
Jack Evans, a spokesman for the airline, said the MD-80 that made the emergency landing was one of the 17 aircraft inspected last week for stabilizer checks but today's problem was unrelated.
This crew already knew it had a problem with the stabilizer, yet it failed to catch it when it began its final movement -- or was unable to do so.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com