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Browsing by Author "Chai, Runqi"

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Adaptive multivariate reusable launch vehicles reentry attitude control with pre-specified performance in the presence of unmatched disturbances

Ge, Tianshuo; Chai, Runqi; Zhu, Qinghua; Chen, Kaiyuan; Tsourdos, Antonios; Farhan, Ishrak M. D. (Elsevier, 2024-01-11)

This paper introduces a novel adaptive multivariable attitude control method for a reusable launch vehicle (RLV) to track desired attitude trajectories in the presence of unknown external disturbances and uncertainties. ...
Analysis of optimization strategies for solving space manoeuvre vehicle trajectory optimization problem

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios (Springer, 2017-12-15)

In this paper, two types of optimization strategies are applied to solve the Space Manoeuvre Vehicle (SMV) trajectory optimization problem. The SMV dynamic model is constructed and discretized applying direct multiple ...
Attitude tracking control for reentry vehicles using centralised robust model predictive control

Chai, Runqi; Tsourdos, Antonios; Gao, Huijun; Chai, Senchun; Xia, Yuanqing (Elsevier, 2022-09-02)

In this work, a centralised robust model predictive control (CRMPC) algorithm is proposed for reentry vehicles to track reference attitude trajectories subject to state/input constraints and uncertainties. In contrast to ...
Deep learning-based trajectory planning and control for autonomous ground vehicle parking maneuver

Chai, Runqi; Liu, Derong; Liu, Tianhao; Tsourdos, Antonios; Xia, Yuanqing; Chai, Senchun (IEEE, 2022-06-23)

In this paper, a novel integrated real-time trajectory planning and tracking control framework capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is presented. In the motion planning component, ...
Design and implementation of deep neural network-based control for automatic parking maneuver process

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing; Chen, C. L. Philip (IEEE, 2020-12-17)

This article focuses on the design, test, and validation of a deep neural network (DNN)-based control scheme capable of predicting optimal motion commands for autonomous ground vehicles (AGVs) during the parking maneuver ...
Dual-loop tube-based robust model predictive attitude tracking control for spacecraft with system constraints and additive disturbances

Chai, Runqi; Tsourdos, Antonios; Gao, Huijun; Xia, Yuanqing; Chai, Senchun (IEEE, 2021-05-05)

In this paper, the problem of optimal time-varying attitude tracking control for rigid spacecraft with system constraints and unknown additive disturbances is considered. Through the design of a new non-linear tube-based ...
Fast generation of chance-constrained flight trajectory for unmanned vehicles

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Wang, Shuo; Xia, Yuanqing; Chai, Senchun (IEEE, 2020-11-16)

In this work, a fast chance-constrained trajectory generation strategy incorporating convex optimization and convex approximation of chance constraints is designed so as to solve the unmanned vehicle path planning problem. ...
Fuzzy physical programming for Space Manoeuvre Vehicles trajectory optimization based on hp-adaptive pseudospectral method

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios (Elsevier, 2016-03-02)

In this paper, a fuzzy physical programming (FPP) method has been introduced for solving multi-objective Space Manoeuvre Vehicles (SMV) skip trajectory optimization problem based on hp-adaptive pseudospectral methods. The ...
High-fidelity trajectory optimization for aeroassisted vehicles using variable order pseudospectral method

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing (Elsevier, 2020-08-15)

In this study, the problem of time-optimal reconnaissance trajectory design for the aeroassisted vehicle is considered. Different from most works reported previously, we explore the feasibility of applying a high-order ...
Improved gradient-based algorithm for solving aeroassisted vehicle trajectory optimization problems

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios; Chai, Senchun; Xia, Yuanqing (American Institute of Aeronautics and Astronautics, 2017-05-04)

Space maneuver vehicles (SMVs) [1,2] will play an increasingly important role in the future exploration of space because their on-orbit maneuverability can greatly increase the operational flexibility, and they are more ...
Integrated missile guidance and control using optimization-based predictive control

Chai, Runqi; Savvaris, Al; Chai, Senchun (Springer Verlag, 2019-02-19)

This paper focuses on the design and implementation of optimization-based predictive control for the problem of missile interception. Due to the inherent nonlinearities of the missile–target dynamics or even constraints, ...
An interactive fuzzy physical programming for solving multiobjective skip entry problem

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios; Xia, Yuanqing (IEEE, 2017-04-24)

The multi-criteria trajectory planning for Space Manoeuvre Vehicle (SMV) is recognised as a challenging problem. Because of the nonlinearity and uncertainty in the dynamic model and even the objectives, it is hard for ...
Multi-objective optimal parking maneuver planning of autonomous wheeled vehicles

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing; Philip Chen, C. L. (IEEE, 2020-01-01)

This paper proposes a computational trajectory optimization framework for solving the problem of multi-objective automatic parking motion planning. Constrained automatic parking maneuver problem is usually difficult to ...
Multi-objective trajectory optimization of Space Maneuver Vehicle using adaptive differential evolution and modified game theory

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios; Chai, Senchun (Elsevier, 2017-03-24)

Highly constrained trajectory optimization for Space Manoeuvre Vehicles (SMV) is a challenging problem. In practice, this problem becomes more difficult when multiple mission requirements are taken into account. Because ...
Multiobjective overtaking maneuver planning of autonomous ground vehicles

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing; Chen, C. L. Philip (IEEE, 2020-03-05)

This paper proposes a computational trajectory optimization framework for solving the problem of multi-objective automatic parking motion planning. Constrained automatic parking maneuver problem is usually difficult to ...
Optimal fuel consumption finite-thrust orbital hopping of aeroassisted spacecraft

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios; Chai, Senchun; Xia, Yuanqing (Elsevier, 2018-02-03)

In the paper, the problem of minimum-fuel aeroassisted spacecraft regional reconnaissance (orbital hopping) is considered. A new nonlinear constrained optimal control formulation is designed and constructed so as to describe ...
Optimal tracking guidance for aeroassisted spacecraft reconnaissance mission based on receding horizon control

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios; Chai, Senchun; Xia, Yuanqing (IEEE, 2018-01-25)

This paper focuses on the application of model predictive control (MPC) for the spacecraft trajectory tracking problems. The motivation of the use of MPC, also known as receding horizon control, relies on its ability in ...
Review of advanced guidance and control algorithms for space/aerospace vehicles

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing; Chen, C.L. Philip (Elsevier, 2021-03-01)

The design of advanced guidance and control (G&C) systems for space/aerospace vehicles has received a large amount of attention worldwide during the last few decades and will continue to be a main focus of the aerospace ...
A review of optimization techniques in spacecraft flight trajectory design

Chai, Runqi; Savvaris, Al; Tsourdos, Antonios; Chai, Senchun; Xia, Yuanqing (Elsevier, 2019-06-04)

For most atmospheric or exo-atmospheric spacecraft flight scenarios, a well-designed trajectory is usually a key for stable flight and for improved guidance and control of the vehicle. Although extensive research work has ...
Six-DOF spacecraft optimal trajectory planning and real-time attitude control: a deep neural network-based approach

Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing; Chen, C. L. Philip (IEEE, 2019-12-12)

This brief presents an integrated trajectory planning and attitude control framework for six-degree-of-freedom (6-DOF) hypersonic vehicle (HV) reentry flight. The proposed framework utilizes a bilevel structure incorporating ...

Browsing by Author "Chai, Runqi"

Browsing by Author "Chai, Runqi"

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