Innovital Systems (United States)

Traditional aircraft design has been based on peak power and peak thermal loads. With the introduction of more-electric aircraft, increasing requirements for on-demand highquality power for flight controls and electro-mechanical actuation devices will pose further challenges for energy efficiency and mission capability. This paper examines a new dynamic optimization strategy for energy management of more-electric aircraft based on hybrid systems theory. An expressive framework is developed to address the pertinent issues for energy management in aircraft systems, creation of optimization metrics, implementation of necessary computational tools and initial verification through simulation.

We have developed a vision application using the IDAS<SUP>TM</SUP> (imaging development and applciation system) real-time image processing system to inspect discrete stamped metal parts. Specifically, the stamped clutch plates coming through the manufacturing line at speeds higher than 6000 parts per hour are to be inspected for defects on both surfaces of the clutch plate as well as defects on the profile of the clutch plate with dimensional accuracy in mils. The conventional area scan approach will not be practical die to the resolution requirements and the processing speed. We have developed a solution based on a 2048 CCD linescan camera and a conveyor system to transport the plates under the camera. This real-time multitasking system deals with all the complexities one normally encounters during the implementation of a real-time machine vision system. This paper will describe the application and the design strategies that made the solution both practical and economical.