Aircraft Mechanical Seminar Project Report On Stealth Technology In Aircraft's

Intro: This is a Aircraft Mechanical Seminar Project Report On Stealth Technology In Aircraft's done for third year Mechanical Seminar work report. Stealth aircraft are aircraft that use stealth technology to make it harder to be detected by radar and other means than conventional aircraft by employing a combination of features to reduce visibility in the visual, audio, infrared and radio frequency (RF) spectrum and the project report focus on other different aspects.

The report also tells about principles of radar reflectivity and how they can be exploited when one starts thinking about aiming for stealth in earnest and RCS minimization techniques.

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M.Tech Seminar Report On Sensors And Actuator System Of Special Hyper Redundant Robot

Abstract: This is a M.Tech seminar report on Sensors And Actuator System Of Special Hyper Redundant Robot and submitted to Department of Aerospace Engineering. Spatial Hyper Redundant Robot (SHR) is an all terrain robot and sometimes has special features like climbing ladder or a pole or climbing through a vertical duct, it requires special arrangement of sensors throughout its body. The whole report tells about different type of sensor, actuators, joint designing,  etc. through chapters. 

The above image shows a actuated universal joint discussed in this seminar report. In this report, the roll of sensors and actuators in SHR and their implementation in various type of design philosophy has been reviewed. Different types of joint architectures has been also discussed here and it has been found that modern researches on actuator implementation is evolved around the necessity of a perfect joint mechanism, which can give an uniform performance in versatile conditions.

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Architecture for the Autonomous Generation of Preference-Based Trajectories

Abstract: Numerous techniques exist to optimize aircraft and spacecraft trajectories over cost functions that include terms such as fuel, time, and separation from obstacles. Relative weighting factors can dramatically alter solution characteristics, and engineers often must manually adjust either cost weights or the trajectory itself to obtain desirable solutions. Further, when humans and robots work together, or when humans task robots, they may express their performance expectations in a "fuzzy" natural language fashion, or else as an uncertain range of more or less acceptable values. This work describes a software architecture which accepts both fuzzy linguistic and hard numeric constraints on trajectory performance and, using a trajectory generator provided by the user, automatically constructs trajectories to meet these specifications as closely as possible. The system respects hard constraints imposed by system dynamics or by the user, and will not let the user's preferences interfere with the system and user needs. The architecture's evaluation agent translates these requirements into cost functional weights expected to produce the desired motion characteristics. The quality of the resulting full-state trajectory is then evaluated based on a set of computed trajectory features compared to the specified constraints. If constraints are not met, the cost functional weights are adjusted according to precomputed heuristic equations. Heuristics are not generated in an ad hoc fashion, but are instead the result of a systematic testing of the simulated system under a range of simple conditions. The system is tested in a 2DOF linear and a 6DOF nonlinear domain with a variety of constraints and in the presence of obstacles. Results show that the system consistently meets all hard numeric constraints placed on the trajectory. Desired characteristics are often attainable or else, in those cases where they are discounted in favor of the hard constraints, failed by small margins. Results are discussed as a function of obstacles and of constraints.

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