Evolutionary Method Based Hybrid Entry Guidance Strategy for Reentry Vehicles
نویسندگان
چکیده
منابع مشابه
A Three Stage Terminal Fuzzy Guidance Law for Reentry Vehicles
An advanced guidance law is developed for reentry phase of a reentry vehicle. It can achieve small miss distance and desired impact attitude angle, simultanceously. To meet this requirment a guidance law based on the fuzzy logic approach is developed. It is partitioned into three stages. This guidance law does not require linearization of missile engagement model. Line-of-sight and flight path ...
متن کاملAdaptive attitude controller of a reentry vehicles based on Back-stepping Dynamic inversion method
This paper presents an attitude control algorithm for a Reusable Launch Vehicle (RLV) with a low lift/drag ratio (L/D < 0.5), in the presence of external disturbances, model uncertainties, control output constraints and the thruster model. The main novelty of proposed control strategy is a new combination of the attitude control methods included backstepping, dynamic inversion and adaptive cont...
متن کاملOptimal Re-Entry Guidance of Space Vehicles
The applicability and the eeciency of a new numerical method for the real-time computation of closed loop controls is demonstrated by the simulation of the guidance of a space vehicle during atmosheric re-entry. This so-called repeated correction method is based on the one hand on the accessory minimum problem or the concept of neighboring extremals and on the other hand on the multiple shootin...
متن کاملDrag-Tracking Guidance for Entry Vehicles Without Drag Rate Measurement
A robust entry guidance law without drag rate measurement is designed for drag-tracking in this paper. The bank angle is regarded as the control variable. First, a state feedback guidance law (bank angle magnitude) that requires the drag and its rate as feedback information is designed to make the drag-tracking error be input-to-state stable (ISS) with respect to uncertainties. Then a high gain...
متن کاملA new control strategy for energy management in Plug-in Hybrid Electric Vehicles based on Fuzzy Cognitive Maps
In this paper, a new control strategy for energy management in Plug-in Hybrid Electric Vehicles (PHEVs) using Fuzzy Cognitive Map (FCM) is presented. In this strategy, FCM is used as a supervisory control such that the State of Charge (SoC) of the battery is kept in the acceptable range and fuel consumption per kilometer is reduced, in addition to providing the request power. Since this method ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2016
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2016.07.136