检索结果-内蒙古大学图书馆

30th Saint Petersburg International Conference on Integrated Navigation systems, ICINS 2023

作者： Lyubimov, V.V. Bakry, I. Samara National Research University Department of Flight Dynamics and Control Systems Samara Russia

ISBN: (纸本)9785919950950

The controlled motion of a small asymmetric space probe relative to the center of mass in the upper layers of the planet's atmosphere is considered. The application of the dynamic programming method and the averaging method makes it possible to synthesize an approximate the optimal two-channel control law of the rotational motion of a space probe. The simulation results show that the obtained control law provides effective motion stabilization of the space probe relative to the center of mass. Therefore, this control law can be used to simulate the low-orbit motion of small spacecraft moving in the rarefied atmosphere of Mars. © 2023 Concern CSRI Elektropribor, JSC.

关键词： Probes

来源：评论

学校读者我要写书评

暂无评论

Utilizing A Genetic Algorithm for Optimization of Two-Impulse Rendezvous Maneuvers between Spacecraft in the Martian Orbit 17

Utilizing A Genetic Algorithm for Optimization of Two-Impuls...

引用

17th International Scientific and Technical Conference on dynamics of systems, Mechanisms and Machines, dynamics 2023

作者： Veisi, S. Lyubimov, V.V. SSAU Department of Flight Dynamics and Control Systems Samara443086 Russia SSAU Department of Higher Mathematics Samara443086 Russia

ISBN: (纸本)9798350358315

In this research, we delve into the application of genetic algorithms for optimizing the two-impulse rendezvous maneuver of an active spacecraft with a passive spacecraft, situated at orbits with both higher and lower altitudes relative to the passive counterpart. Assumedly, the passive spacecraft resides in a circular Mars orbit at an altitude of 300 km, with defined orbital parameters. Through the employment of genetic algorithms, our primary objective is the optimization of rendezvous parameters, specifically focusing on the rendezvous duration and the initial velocity vector of the active spacecraft within the areocentric equatorial system, while simultaneously striving to minimize the requisite energy expenditure for the rendezvous. In both cases under consideration, we maintain an initial separation of 20 km between the spacecraft. In each case, we track the shift in the relative position vector of the active spacecraft with respect to the passive spacecraft. Our findings reveal that trajectories approximating 75 minutes in duration yield a global minimum energy requirement. Conversely, shorter trajectories necessitate a marginally larger energy expenditure, thereby embodying a trade-off between flight duration and energy expenditure. Interestingly, lengthening the duration of the rendezvous maneuver does not invariably result in a lower energy requirement. Moreover, a thorough numerical analysis uncovers a remarkable similarity in the optimization outcomes across both cases, with the rendezvous trajectory direction serving as the principal differential factor. This investigation furnishes crucial numerical insights into the optimization process of two-impulse rendezvous maneuvers, thereby substantiating the practical utility of genetic algorithms in this domain. © 2023 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Dynamic Stability Test Technique for Blunt Bodies in a Magnetic Suspension and Balance System

Dynamic Stability Test Technique for Blunt Bodies in a Magne...

引用

AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Hull, Caleb Britcher, Colin Cox, Dave E. Schoenenberger, Mark Shehata, Hisham M. Old Dominion University Mechanical and Aerospace Engineering Department NorfolkVA23529 United States NASA Langley Research Center Flight Dynamics and Control Systems Branch HamptonVA23681 United States NASA Langley Research Center Atmospheric Flight and Entry Systems Branch HamptonVA23681 United States Atmospheric Flight and Entry Systems Branch Analytical Mechanics Associates Inc HamptonVA23666 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Techniques for the measurement of subsonic dynamic stability derivatives of blunt-body re-entry capsules are being developed using a Magnetic Suspension and Balance System at NASA Langley Research Center. The measured aerodynamics of a 45-degree sphere-cone similar to configurations being considered for Mars Sample Return Earth Entry Vehicle are reported. A novel test method has been developed where forced oscillatory translation of a test article is used to excite yaw attitude oscillations. The forced motion is then halted to observe free-to-oscillate behavior of the test article. Parameter identification methods are used to extract static and dynamic yawing moment stability characteristics from the measured forces and observed attitude histories. This combination of forced excitation followed by free-to-oscillate dynamics is a repeatable method to produce test article attitude histories that can be used to measure aerodynamic characteristics. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： NASA

来源：评论

学校读者我要写书评

暂无评论

Synthesis of Two-Channel control to Stabilize the Rotation of a Small Asymmetric Spacecraft in the Martian Atmosphere

Synthesis of Two-Channel Control to Stabilize the Rotation o...

引用

Saint Petersburg International Conference on Integrated Navigation systems (ICINS)

作者： V. V. Lyubimov I. Bakry Department of Flight Dynamics and Control Systems Samara National Research University Samara Russia

关键词：

来源：评论

学校读者我要写书评

暂无评论

Trajectory Design of Asteroid(469219) Probe with Low-thrust 13

Trajectory Design of Asteroid(469219) Probe with Low-thrust

引用

13th International Conference on Mechanical and Aerospace Engineering, ICMAE 2022

作者： Wei, Xiaodie Chen, Danhe Starinova, Olga Zhang, Xiang Nanjing University of Science and Technology Department of Mechanical Engineering Nanjing China Samara National Research University Department of Flight Dynamics and Control Systems Samara Russia

ISBN: (数字)9781665472357

ISBN: (纸本)9781665472357

The detection of asteroids in near-Earth orbit and celestial bodies in the planetary belt has become one of the important contents of deep space exploration plan. This paper studies the orbital characteristics of probe targeting the asteroid(469219). The libration points (LP) of Earth-asteroid system are calculated, periodic Halo orbit near LP and the invariant manifold properties derived from the Halo orbit are defined by numerical solution and differential correction method. Also, a dynamic model with low-thrust is constructed in the planetary center coordinate system, and the influence of perturbation factors including earth's oblateness, atmospheric resistance, and sun-moon gravity is analyzed. Finally, the dynamic model is used to estimate the transfer trajectory for detecting the asteroid(469219). It provides a preliminary theoretical reference for the orbit design of celestial body detection mission. © 2022 IEEE.

关键词： Asteroids

来源：评论

学校读者我要写书评

暂无评论

Utilizing A Genetic Algorithm for Optimization of Two-Impulse Rendezvous Maneuvers Between Spacecraft in the Martian Orbit

Utilizing A Genetic Algorithm for Optimization of Two-Impuls...

引用

dynamics of systems, Mechanisms and Machines (dynamics)

作者： S. Veisi V. V. Lyubimov Department of Flight Dynamics and Control Systems SSAU Samara Russia Department of Higher Mathematics SSAU Samara Russia

关键词：

来源：评论

学校读者我要写书评

暂无评论

Attitude Takeover control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning

arXiv

引用

arXiv 2023年

作者： Liu, Yuhan Wang, Pengyu Lee, Chang-Hun Tóth, Roland The Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands The Flight Dynamics and Control Laboratory Department of Aerospace Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of The Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

One major challenge for autonomous attitude takeover control for on-orbit servicing of spacecraft is that an accurate dynamic motion model of the combined vehicles is highly nonlinear, complex and often costly to identify online, which makes traditional model-based control impractical for this task. To address this issue, a recursive online sparse Gaussian Process (GP)-based learning strategy for attitude takeover control of noncooperative targets with maneuverability is proposed, where the unknown dynamics are online compensated based on the learnt GP model in a semi-feedforward manner. The method enables the continuous use of on-orbit data to successively improve the learnt model during online operation and has reduced computational load compared to standard GP regression. Next to the GP-based feedforward, a feedback controller is proposed that varies its gains based on the predicted model confidence, ensuring robustness of the overall scheme. Moreover, rigorous theoretical proofs of Lyapunov stability and boundedness guarantees of the proposed method-driven closed-loop system are provided in the probabilistic sense. A simulation study based on a high-fidelity simulator is used to show the effectiveness of the proposed strategy and demonstrate its high performance. © 2023, CC BY-NC-SA.

关键词： Maneuverability

来源：评论

学校读者我要写书评

暂无评论

iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning

iMTSP: Solving Min-Max Multiple Traveling Salesman Problem w...

引用

IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Yifan Guo Zhongqiang Ren Chen Wang Flight Dynamics & Control/Hybrid Systems Lab Purdue University West Lafayette IN Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Computer Science and Engineering Spatial AI & Robotics (SAIR) Lab University at Buffalo NY USA

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

This paper considers a Min-Max Multiple Traveling Salesman Problem (MTSP), where the goal is to find a set of tours, one for each agent, to collectively visit all the cities while minimizing the length of the longest tour. Though MTSP has been widely studied, obtaining near-optimal solutions for large-scale problems is still challenging due to its NP-hardness. Recent efforts in data-driven methods face challenges of the need for hard-to-obtain supervision and issues with high variance in gradient estimations, leading to slow convergence and highly sub-optimal solutions. We address these issues by reformulating MTSP as a bilevel optimization problem, using the concept of imperative learning (IL). This involves introducing an allocation network that decomposes the MTSP into multiple single-agent traveling salesman problems (TSPs). The longest tour from these TSP solutions is then used to self-supervise the allocation network, resulting in a new self-supervised, bilevel, end-to-end learning framework, which we refer to as imperative MTSP (iMTSP). Additionally, to tackle the high-variance gradient issues during the optimization, we introduce a control variate-based gradient estimation algorithm. Our experiments showed that these innovative designs enable our gradient estimator to converge 20× faster than the advanced reinforcement learning baseline, and find up to 80% shorter tour length compared with Google OR-Tools MTSP solver, especially in large-scale problems (e.g. 1000 cities and 15 agents).

关键词： Urban areas Estimation Reinforcement learning Traveling salesman problems Internet Resource management Optimization Intelligent robots Faces Convergence

来源：评论

学校读者我要写书评

暂无评论

Learning For Predictive control: A Dual Gaussian Process Approach

arXiv

引用

arXiv 2022年

作者： Liu, Yuhan Wang, Pengyu Tóth, Roland Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Flight Dynamics and Control Laboratory Department of Aerospace Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

An important issue in model-based control design is that an accurate dynamic model of the system is generally nonlinear, complex, and costly to obtain. This limits achievable control performance in practice. Gaussian process (GP) based estimation of system models is an effective tool to learn unknown dynamics directly from input/output data. However, conventional GP-based control methods often ignore the computational cost associated with accumulating data during the operation of the system and how to handle forgetting in continuous adaption. In this paper, we present a novel Dual Gaussian Process (DGP) based model predictive control (MPC) strategy that enables efficient use of online learning based predictive control without the danger of catastrophic forgetting. The bio-inspired DGP structure is a combination of a long-term GP and a short-term GP, where the long-term GP is used to keep the learned knowledge in memory and the short-term GP is employed to rapidly compensate unknown dynamics during online operation. Furthermore, a novel recursive online update strategy for the short-term GP is proposed to successively improve the learnt model during online operation. Effectiveness of the proposed strategy is demonstrated via numerical simulations. © 2022, CC BY-NC-SA.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

Extended Observer Form for Nonlinear System with Disturbances: Algorithm and Application

Extended Observer Form for Nonlinear System with Disturbance...

引用

International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Vadim Kaparin Ashutosh Simha Nilanjan Roy Chowdhury Ülle Kotta Yoash Levron Juri Belikov Department of Software Science Tallinn University of Technology Tallinn Estonia Flight Dynamics and Control Kadet Defence Systems Bangalore India Tata Consultancy Services Research Pune India Andrew and Erna Viterbi Faculty of Electrical Engineering Technion—Israel Institute of Technology Haifa Israel

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

The paper addresses the problem of transforming single-output nonlinear state equations affine in disturbance into an extended observer form whose nonlinear injection part depends additionally on the derivatives of the output up to a finite order. Moreover, the considered form is affine in disturbance. Based on the earlier results a detailed algorithm is given and applied to the model of a synchronous machine connected to an infinite bus. For the system in the extended observer form a reduced-order Kalman-filter based observer can be designed such that its error dynamics is exponentially attractive and it is stable in the input-to-state sense with respect to the disturbance.

关键词： Heuristic algorithms Partial differential equations Transforms Observers Nonlinear control systems Mathematical models Real-time systems Nonlinear dynamical systems Synchronous machines Robots

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：