The Experts below are selected from a list of 123924 Experts worldwide ranked by ideXlab platform
Declan G Bates - One of the best experts on this subject based on the ideXlab platform.
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robustness analysis of a reusable launch vehicle Flight Control law
Control Engineering Practice, 2009Co-Authors: Prathyush P Menon, Ian Postlethwaite, Samir Bennani, Andres Marcos, Declan G BatesAbstract:This paper describes a novel optimisation-based framework for analysing the robustness of advanced Flight Control laws for reusable launch vehicles. The proposed analysis methods are applied and tested on an industrial-standard simulation model of a reusable launch vehicle equipped with a full authority nonlinear dynamic inversion-based Flight Control law. The reliability, computational complexity and efficiency of the framework are evaluated against standard industrial approaches based on Monte Carlo simulation. The results of the study show that the proposed approach has the potential to significantly improve both the reliability and efficiency of the Flight clearance process for future reusable launch vehicles.
Sreenatha G Anavatti - One of the best experts on this subject based on the ideXlab platform.
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state of the art intelligent Flight Control systems in unmanned aerial vehicles
IEEE Transactions on Automation Science and Engineering, 2018Co-Authors: Fendy Santoso, Matthew Garratt, Sreenatha G AnavattiAbstract:We discuss state-of-the-art intelligent robotic aircraft with the special focus on evolutionary autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive autopilots, we highlight the pros and cons of the most widely implemented intelligent algorithms against the navigational and maneuvering capabilities of small UAVs. We present several cutting-edge applications of bioinspired Flight Control systems that have the capability of self-learning. We also highlight several research opportunities and challenges associated with each technique. Note to Practitioners —Soft computing methods have been widely implemented in numerous engineering applications. Recent advancements in computational technology have enabled the implementations of intelligent autopilots in real time. This paper aims to discuss many aspects of the developments and implementations of soft computing techniques in aerial robotics with the main focus on its Flight Control systems.
Steven Rasmussen - One of the best experts on this subject based on the ideXlab platform.
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a qft subsonic envelope Flight Control system design
International Journal of Robust and Nonlinear Control, 1997Co-Authors: S N Phillips, Meir Pachter, Constantine H Houpis, Steven RasmussenAbstract:An aircraft's response to Control inputs varies widely throughout its Flight envelope. The aircraft configuration also impacts Control response through variations in center of gravity and moments of inertia. Hence, designing a Flight Control system (FCS) to accommodate the full Flight envelope and configuration set of an aircraft is clearly a complex undertaking. Quantitative feedback theory (QFT) is a robust Control design method which provides an avenue of approach to full-envelope Flight Control design. Furthermore, a QFT-based design method gives the engineer direct Control over compensator order and gain. In this paper, a full subsonic Flight envelope FCS is designed for the VISTA F-16 aircraft using QFT for four representative aircraft configurations. In addition, flying qualities are imbedded in the longitudinal design by using a Control variable which varies with the aircraft's energy state throughout the Flight envelope. This variable is a linear combination of the aircraft's pitch channel states and is synthesized to closely reflect the actual Control desires of the pilot throughout the aircraft Flight envelope. The strict Control of the compensator order and gain allowed by QFT facilitates the attainment of desired performance while avoiding physical actuator saturations. Linear simulations with realistically large Control inputs are used to validate the design.
Siva S Banda - One of the best experts on this subject based on the ideXlab platform.
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tailless aircraft Flight Control using multiple time scale reconfigurable sliding modes
IEEE Transactions on Control Systems and Technology, 2002Co-Authors: Yuri B Shtessel, James M Buffington, Siva S BandaAbstract:A triple time scale tailless aircraft Flight Control problem is addressed via continuous sliding mode Control. A reconfigurable sliding mode Flight Controller is designed that achieves robust, high accuracy command angle tracking both before and after damage to an aircraft. Command angles and angular rate commands are robustly tracked in outer and inner loops correspondingly via finite reaching time continuous sliding mode Controllers. An optimal Control allocation algorithm is employed using nominal mathematical model of an aircraft. Sliding surface boundary layer reconfiguration (direct adaptation) is used in the "very" inner loop to account for actuator dynamics, deflection limits, and rate limits. Online damage identification is not required by this design. The reconfigurable sliding mode Flight Control technique is applied to a Flight dynamics model of a tailless jet fighter that was developed under is the innovative Control effectors program. Simulations demonstrate stability and high accuracy tracking performance without violation of actuator limits.
Haiyang Xu - One of the best experts on this subject based on the ideXlab platform.
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real time reliability verification for uav Flight Control system supporting airworthiness certification
PLOS ONE, 2016Co-Authors: Haiyang Xu, Ping WangAbstract:In order to verify the real-time reliability of unmanned aerial vehicle (UAV) Flight Control system and comply with the airworthiness certification standard, we proposed a model-based integration framework for modeling and verification of time property. Combining with the advantages of MARTE, this framework uses class diagram to create the static model of software system, and utilizes state chart to create the dynamic model. In term of the defined transformation rules, the MARTE model could be transformed to formal integrated model, and the different part of the model could also be verified by using existing formal tools. For the real-time specifications of software system, we also proposed a generating algorithm for temporal logic formula, which could automatically extract real-time property from time-sensitive live sequence chart (TLSC). Finally, we modeled the simplified Flight Control system of UAV to check its real-time property. The results showed that the framework could be used to create the system model, as well as precisely analyze and verify the real-time reliability of UAV Flight Control system.
