Article
Engineering, Aerospace
Suwon Lee, Youngjun Lee, Seokwon Lee, Youdan Kim, Yongsu Han, Jangseong Park
Summary: A data-driven statistical analysis was conducted on the missile’s capture region. This analysis used a Gaussian process regression model to verify the effectiveness of the capture region against maneuvering targets, demonstrating the advantages of statistical verification over analytic approaches. The model was able to compute the probability distribution of target capture and compare it with an analytic model, showing the effectiveness of an active sampling algorithm.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES
(2021)
Article
Engineering, Aerospace
Weilin Wang
Summary: This paper proposes a new space operation concept that enables two CubeSats equipped with only optical sensor to achieve autonomous and robust proximity with uncooperative satellites. The use of optical sensors is compelling because they are lightweight and reduce reliance on external measurement sources. The paper introduces a new guidance scheme called cooperative augmented proportional navigation (CAPN) that utilizes angle measurement data to approach maneuvering targets. Simulation results demonstrate that CAPN is capable of completing challenging proximity missions.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Engineering, Aerospace
Kebo LI, Zhihui Bai, Hyo-Sang Shin, Antonios Tsourdos, Min-Jea Tahk
Summary: The capturability of Three-Dimensional Realistic True Proportional Navigation (RTPN) guidance law is thoroughly analyzed in this study. The paper proposes a novel Lyapunov-like approach to deduce the upper-bound of commanded acceleration. The reasonable selection range of navigation gain is also analyzed, considering the maneuver limitation of the interceptor. The study presents a more realistic definition of capture and utilizes the inequality analysis technique to obtain the 3D capture region.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Aerospace
Xiaoyan Yang, Yuchen Zhang, Shenmin Song
Summary: In this study, a 3D nonsingular FOV-constrained guidance strategy is proposed, which takes into account the field-of-view limit. An analytical expression is derived to relate the desired impact angles and terminal light-of-sight angles. A novel fixed-time sliding mode surface is presented to generate guidance commands, and radial basis function neural networks are applied for improved approximation precision. The FOV constraint is satisfied using a barrier Lyapunov function. Capturability analysis is performed to calculate the achievable impact sets, and simulations are conducted to validate the effectiveness and robustness of the proposed guidance strategy.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Aerospace
Yangang Liang, Jin Tang, Zhihui Bai, Kebo Li
Summary: A novel homing guidance law using deep deterministic policy gradient (DDPG) for maneuvering targets is proposed. The law directly maps engagement state information to interceptor acceleration, providing an end-to-end guidance policy. The kinematic model of the interception process is described as a Markov decision process (MDP) and used with deep reinforcement learning (DRL) algorithm. By utilizing LOS angles and rotational rates, the proposed law simplifies state estimation and demonstrates improved performance compared to traditional methods.
INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING
(2023)
Article
Engineering, Aerospace
Hyo-Sang Shin, Ke-Bo Li
Summary: This article proposes an improved version of 3-D pure proportional navigation (PPN) by properly selecting the direction of guidance command, leading to the development of a new guidance algorithm. Unlike traditional 3-D PPN, the developed algorithm adapts the direction while maintaining the acceleration proportional to only the line-of-sight rate. The validity and performance of the proposed algorithm are investigated through theoretical analysis and numerical simulations.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Engineering, Aerospace
Keyi Li, Gongjian Zhou
Summary: This article focuses on the modeling and estimation of the state with a destination constraint imposed by PN guidance law in 3-D space. Constraint models for three representative PN guidance laws are presented, and a constrained state estimation method is proposed by incorporating pseudomeasurements into the nonlinear filtering process.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Vitaly Shaferman
Summary: The study proposes near-optimal evasion strategies against pursuers using modern linear guidance laws by exploiting time delay in the estimation of the evader's acceleration. Analytically derived and extensively evaluated, these strategies significantly increase miss distance compared to those not leveraging estimation delay.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2021)
Article
Engineering, Aerospace
Diganta Bhattacharjee, Animesh Chakravarthy, Kamesh Subbarao
Summary: This paper proposes a hybrid missile guidance algorithm for planar engagement scenarios, combining nonlinear model predictive control with a collision cone approach. The method achieves interception while ensuring the impact angle lies in a predefined range. The algorithm includes two components: point-mass-based NMPC and collision-cone-based NMPC, with established connections between impact angle and collision cone. These NMPC problems are formulated as strictly convex quadratic programs, demonstrated to be effective through detailed simulations.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2021)
Article
Multidisciplinary Sciences
Lei Feng, Wang Lu, Fenglin Wang, Fan Zhang, Qiangui Sun
Summary: Based on a modified proportional navigation guidance interceptor, this paper establishes a three-dimensional mathematical model for the attack-defense confrontation between high-speed vehicles and the interceptor. The model incorporates the modified proportional navigation guidance law of the interceptor, as well as control constraints, pitch angle velocity constraints, and dynamic delay. Analytical solutions for the optimal speed roll angle and the optimal overload of the high-speed vehicles are obtained under the condition of considering 180-degree BTT control. The simulation results demonstrate that the proposed optimal penetration guidance law can achieve a miss distance of more than 5 m when the overload capacity ratio is 0.33.
Article
Biology
Caroline H. Brighton, Katherine E. Chapman, Nicholas C. Fox, Graham K. Taylor
Summary: Birds' aerial hunting behaviors are influenced by flight morphology and ecology, and this study found that gyrfalcons and peregrine falcons exhibit similar attack trajectories guided by a proportional navigation law. However, gyrfalcons operate at lower values of the guidance gain N, resulting in slower turning and longer paths to intercept compared to peregrine falcons. The lower N values in gyrfalcons may not be solely explained by physical constraints, suggesting potential factors such as individual experience or species-level ecological adaptation.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2021)
Article
Engineering, Aerospace
Giovanni Lavezzi, Marco Ciarcia
Summary: This work introduces an attitude control strategy for Earth-imaging satellites, which utilizes a closed-loop implementation of a direct method and a nonlinear programming solver to determine near-optimal attitude trajectories quickly. Through comparisons with alternative attitude controllers and simulations in a high-fidelity environment, the advantages of the proposed methodology are highlighted.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Engineering, Aerospace
Shaobo Wang, Yang Guo, Shicheng Wang, Lixin Wang, Yanhua Tao, Zhengfei Peng
Summary: This study analyzes the capturability of a maneuvering target with speed superiority over an interceptor using Augmented Pure Proportional Navigation (APPN) and Retro-Augmented Proportional Navigation (RAPN) guidance. The results show that RAPN performs better in capturability compared to APPN. Target velocity and acceleration deviation significantly affect the interception, while relative distance affects the fault tolerance of the interception.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Engineering, Aerospace
Jingchuan Tang, Zongyu Zuo
Summary: This paper presents a new class of distributed cooperative guidance laws based on circular guidance and practical prescribed-time consensus, under both undirected and directed communication topologies. A bias term is added to the circular guidance law to achieve impact time synchronization within a prescribed time. The time-to-go expression under the circular guidance law is utilized for accurate impact time cooperation. The proposed guidance laws ensure both convergence rate and reduction in acceleration magnitude due to the practical prescribed-time consensus. Additionally, they are extended to nonmaneuvering targets based on predicted interception point. Numerical simulations in different scenarios validate the effectiveness, robustness, and superiority of the proposed guidance laws.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Yunjie Wu, Fei Ma, Xiaofei Yang, Siqi Wang, Xiaodong Liu
Summary: This paper proposes an adaptive finite-time guidance law based on fixed-time disturbance observer for missile interception missions. By establishing adaptive laws and analyzing the convergence characteristics of the closed-loop system, the potential issues of conventional backstepping are successfully avoided.
Article
Automation & Control Systems
Amardeep Mishra, Satadal Ghosh
Summary: This paper introduces a critic-only IRL controller coupled with an experience replay (ER)-based identifier to solve optimal tracking control problem for an unknown continuous-time systems under actuator constraints. The presented control architecture is shown to be effective on continuous-time systems.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Engineering, Mechanical
Amardeep Mishra, Satadal Ghosh
Summary: This paper proposes a novel tuning law based on variable gain gradient descent for the critic neural network, aiming to solve the optimal tracking problem of continuous time nonlinear systems. The proposed update law adjusts the learning rate based on HJB approximation error, improving the convergence time of critic neural network weights and resulting in smaller oscillations in state error.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Aerospace
V. S. Shincy, Satadal Ghosh
Summary: This paper addresses the precision soft landing guidance problem of a spacecraft on an asteroid. The proposed sliding-mode-control-based instantaneously optimal (SMC-IO) guidance overcomes the limitations of existing methods and accommodates the effect of asteroid's angular rotation. Simulation studies demonstrate the superior performance of the SMC-IO guidance in terms of overall control effort and fuel usage.
JOURNAL OF SPACECRAFT AND ROCKETS
(2022)
Article
Robotics
Vrushabh Zinage, Senthil Hariharan Arul, Dinesh Manocha, Satadal Ghosh
Summary: We propose an online motion planning algorithm (3DOGSSE) that generates smooth and collision-free trajectories for a 3-D agent operating in an unknown, obstacle-cluttered environment. The algorithm constructs an obstacle-free region called generalized sensed shape in each planning iteration and computes a collision-free path within it. The generated trajectory is constrained to lie within the generalized sensed shape, ensuring obstacle-free maneuvering for the agent.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Proceedings Paper
Engineering, Aerospace
Aman Choudhary, A. Vivek, Satadal Ghosh
Summary: With the increasing usage of unmanned aerial vehicles (UAVs), efficient autonomous interdiction techniques have become crucial to safeguard protected areas. This paper presents novel guidance strategies based on Proportional Navigation (PN) for interdicting stationary targets using single and multiple UAVs. The strategies aim to simultaneously control the terminal angle and achieve a desired final time, which poses a significant challenge. The main contribution of this paper is the development of PN-based multi-phase guidance strategies that enable pursuers to achieve any terminal configuration while satisfying the final time constraint.
2023 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS
(2023)
Proceedings Paper
Automation & Control Systems
Balaji Gorantla, Satadal Ghosh
Summary: A novel second-order online local reactive motion planner called Right-of-Way-based Acceleration Velocity Obstacle (R-AVO) is developed in this paper, incorporating right-of-way rules established by regulatory authorities. Using this algorithm, each unmanned vehicle in a dynamic environment can generate collision-free, dynamically feasible, and goal-oriented trajectories. The considered right-of-way rules enable coordination between the agents and prevent reciprocal oscillation in planned trajectories. Extensive simulation studies demonstrate the performance and real-time implementability of the proposed algorithm.
2022 EIGHTH INDIAN CONTROL CONFERENCE, ICC
(2022)
Proceedings Paper
Automation & Control Systems
Balaji Gorantla, Satadal Ghosh
Summary: In this paper, a novel second order online local reactive motion planner called "Right-of-Way-based Probabilistic Acceleration Velocity Obstacle" (R-PAVO) is developed. This algorithm can generate collision-free, dynamically feasible, and goal-oriented trajectories for unmanned vehicles in a multi-agent environment, while considering uncertainties and incorporating right-of-way rules.
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC)
(2022)
Proceedings Paper
Automation & Control Systems
Manoj S. P. Gowda, Satadal Ghosh
Summary: This paper addresses the problem of localizing the source of an unknown scalar field distribution using a constant-speed UAV with on-board sensors in a planar environment. A novel source localization algorithm named 'Gradient Direction Turn Switching' (GDTS) is proposed, which enables the UAV to move towards the source by estimating the gradient direction of the field. Simulation studies show that the algorithm performs well in different scenarios.
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC)
(2022)
Article
Automation & Control Systems
Vrushabh Zinage, Satadal Ghosh
Summary: The Generalized Shape Expansion (GSE) algorithm has shown significant improvement in planning the shortest collision-free path in 2-D environments. The proposed GSE-D and GSE-AD algorithms further enhance performance by introducing directional sampling, resulting in improved computational efficiency and reduced cost of the shortest path. Probabilistic analysis and numerical simulation studies demonstrate the effectiveness of GSE-D and GSE-AD compared to existing algorithms.
IEEE CONTROL SYSTEMS LETTERS
(2021)
Proceedings Paper
Automation & Control Systems
Adhvaith Ramkumar, Vrushabh Zinage, Satadal Ghosh
2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
(2020)
Article
Automation & Control Systems
Amardeep Mishra, Satadal Ghosh
IET CONTROL THEORY AND APPLICATIONS
(2020)
Proceedings Paper
Automation & Control Systems
R. Saurav, Laad Dhruv Sohil, Satadal Ghosh
2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20)
(2020)
Proceedings Paper
Automation & Control Systems
L. P. Manikandan, Satadal Ghosh
2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20)
(2020)
Proceedings Paper
Automation & Control Systems
Aniket Kamthe, Satadal Ghosh
2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20)
(2020)
Proceedings Paper
Automation & Control Systems
Sashank Modali, Satadal Ghosh, P. B. Sujit
