A review on carrier aircraft dispatch path planning and control on deck

Abstract As an important part in sortie/recovery process, the dispatch of carrier aircraft not only affects the sortie/recovery efficiency and safety, but also has severe influence on the carrier’s combat efficiency and the comprehensive support capability. Path planning is the key to improve the efficiency and safety during the dispatch process. The main purpose of this paper is to propose a comprehensive investigation of techniques and research progress for the carrier aircraft’s dispatch path planning on the deck. Three different dispatch modes of carrier aircraft and the corresponding modeling technologies are investigated, and the aircraft’s dispatch path planning techniques and algorithms have been classified into different classes. Moreover, their assumptions and drawbacks have been discussed for single aircraft and multiple aircraft. To make the research work more comprehensive, the corresponding tracking control methodologies are also discussed. Finally, due to the similarity of path planning problem between the carrier aircraft’s dispatch and those in other fields, this paper provides an exploratory prospect of the knowledge or method learned from other fields.

[1]  Yi Chang,et al.  Adaptive Fuzzy Output-Feedback Tracking Control for Switched Nonstrict-Feedback Nonlinear Systems with Prescribed Performance , 2020, Circuits Syst. Signal Process..

[2]  Hongbo Liu,et al.  Path-tracking control of a tractor-aircraft system , 2012 .

[3]  Jie Li,et al.  Research on Cooperative Trajectory Planning and Tracking Problem for Multiple Carrier Aircraft on the Deck , 2020, IEEE Systems Journal.

[4]  Zhang Jing,et al.  Path planning method for traction system on carrier aircraft , 2018 .

[5]  Yu Wu,et al.  Path Planning for Aircraft Fleet Launching on the Flight Deck of Carriers , 2018 .

[6]  Liguo Wang,et al.  A Path Planning Method for Carrier Aircraft on Deck Combining Artificial Experience and Intelligent Search , 2018, IOP Conference Series: Materials Science and Engineering.

[7]  Gang Tao,et al.  An Adaptive Control Scheme for Carrier Landing of UAV , 2018, 2018 37th Chinese Control Conference (CCC).

[8]  Haoyong Yu,et al.  Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators , 2019, IEEE Transactions on Control Systems Technology.

[9]  Zhijiang Shao,et al.  An incremental strategy for tractor-trailer vehicle global trajectory optimization in the presence of obstacles , 2015, 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[10]  Zhijiang Shao,et al.  Time-Optimal Maneuver Planning in Automatic Parallel Parking Using a Simultaneous Dynamic Optimization Approach , 2016, IEEE Transactions on Intelligent Transportation Systems.

[11]  Dario Izzo,et al.  Space Debris Removal: Learning to Cooperate and the Price of Anarchy , 2018, Front. Robot. AI.

[12]  Wu Yu,et al.  Path planning for taxi of carrier aircraft launching , 2013 .

[13]  Dinesh Manocha,et al.  Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.

[14]  Jinguo Liu,et al.  A Symplectic Instantaneous Optimal Control for Robot Trajectory Tracking With Differential-Algebraic Equation Models , 2020, IEEE Transactions on Industrial Electronics.

[15]  Dario Izzo,et al.  Machine learning and evolutionary techniques in interplanetary trajectory design , 2018, Springer Optimization and Its Applications.

[16]  Javier Moreno-Valenzuela,et al.  Adaptive Neural Network Control for the Trajectory Tracking of the Furuta Pendulum , 2016, IEEE Transactions on Cybernetics.

[17]  Zhou Li-jie Moving characteristics analysis of carrier-based aircraft traction system on deck , 2013 .

[18]  Yu Wu,et al.  Obstacle avoidance and path planning for carrier aircraft launching , 2015 .

[19]  F. Borrelli,et al.  MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles , 2006, 2006 American Control Conference.

[20]  Chun Liu,et al.  A New Method for the Optimal Control Problem of Path Planning for Unmanned Ground Systems , 2018, IEEE Access.

[21]  Manoj Karkee,et al.  Study of the open and closed loop characteristics of a tractor and a single axle towed implement system , 2010 .

[22]  Song Yan,et al.  Multi-routes dynamic planning on deck of carrier plane based on clustering PSO , 2013 .

[23]  Yurong Liu,et al.  A novel path planning method for biomimetic robot based on deep learning , 2016 .

[24]  Jie Liu,et al.  Trajectory planning and tracking control for towed carrier aircraft system , 2019, Aerospace Science and Technology.

[25]  Sebastian Thrun,et al.  Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.

[26]  Emilio Frazzoli,et al.  A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles , 2016, IEEE Transactions on Intelligent Vehicles.

[27]  Mark A. Minor,et al.  Curvature-Based Ground Vehicle Control of Trailer Path Following Considering Sideslip and Limited Steering Actuation , 2017, IEEE Transactions on Intelligent Transportation Systems.

[28]  Jerry Y. H. Fuh,et al.  A Heuristic Mission Planning Algorithm for Heterogeneous Tasks with Heterogeneous UAVs , 2015, Unmanned Syst..

[29]  Pu Li,et al.  Incrementally constrained dynamic optimization: A computational framework for lane change motion planning of connected and automated vehicles , 2019, J. Intell. Transp. Syst..

[30]  Yong Zhang,et al.  Design of an Online Nonlinear Optimal Tracking Control Method for Unmanned Ground Systems , 2018, IEEE Access.

[31]  Peng Zhang,et al.  Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[32]  Zhang Zh Collision avoidance path planning for an aircraft in scheduling process on deck , 2014 .

[33]  Haijun Peng,et al.  An hp symplectic pseudospectral method for nonlinear optimal control , 2017, Commun. Nonlinear Sci. Numer. Simul..

[34]  Mihai Lungu,et al.  Automatic landing system using neural networks and radio-technical subsystems , 2017 .

[35]  Nicholas Roy,et al.  Comparing the Performance of Expert User Heuristics and an Integer Linear Program in Aircraft Carrier Deck Operations , 2014, IEEE Transactions on Cybernetics.

[36]  Jonathan P. How,et al.  A Human-Interactive Course of Action Planner for Aircraft Carrier Deck Operations , 2011 .

[37]  Dilip Kumar Pratihar,et al.  Task allocation and collision-free path planning of centralized multi-robots system for industrial plant inspection using heuristic methods , 2016, Robotics Auton. Syst..

[38]  M. Sethumadhavan,et al.  Fuzzy Support Vector Machine-based Multi-agent Optimal Path Planning Approach to Robotics Environment. , 2010 .

[39]  Neeraj Kumar,et al.  Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges , 2020, Comput. Commun..

[40]  Jie Li,et al.  Integration Design of Sortie Scheduling for Carrier Aircrafts Based on Hybrid Flexible Flowshop , 2020, IEEE Systems Journal.

[41]  Yu Wang,et al.  Review of trajectory optimisation for connected automated vehicles , 2019 .

[42]  Karl Sammut,et al.  A survey on path planning for persistent autonomy of autonomous underwater vehicles , 2015 .

[43]  Qidan Zhu,et al.  Designing a Human-Computer Cooperation Decision Planning System for Aircraft Carrier Deck Scheduling , 2015 .

[44]  José Luis Lázaro,et al.  Distributed architecture for control and path planning of autonomous vehicles , 2001, Microprocess. Microsystems.

[45]  Lakhmi C. Jain,et al.  Path Planning and Obstacle Avoidance for Autonomous Mobile Robots: A Review , 2006, KES.

[46]  Christos Katrakazas,et al.  Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions , 2015 .

[47]  Sheng Zhang,et al.  Stabilizing constrained chaotic system using a symplectic psuedospectral method , 2018, Commun. Nonlinear Sci. Numer. Simul..

[48]  Jeffrey S Johnston,et al.  A Feasibility Study of a Persistent Monitoring System for the Flight Deck of U.S. Navy Aircraft Carriers , 2012 .

[49]  M. Sethumadhavan,et al.  Fuzzy Support Vector Machine-based Multi-agent Optimal Path , 2010 .

[50]  Woojin Chung,et al.  A Heuristic for Path Planning of Multiple Heterogeneous Automated Guided Vehicles , 2018, International Journal of Precision Engineering and Manufacturing.

[51]  Eric D. Swenson,et al.  Feasibility Study of Global-Positioning-System-Based Aircraft-Carrier Flight-Deck Persistent Monitoring System , 2010 .

[52]  Liguo Sun,et al.  Exploring mission planning method for a team of carrier aircraft launching , 2019, Chinese Journal of Aeronautics.

[53]  Qun Li,et al.  Analysis of Aircraft Path Planning Optimal on Carrier Flight Deck , 2013 .

[54]  Ming Liu,et al.  Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[55]  Di Yang,et al.  Cooperative multiple task assignment problem with stochastic velocities and time windows for heterogeneous unmanned aerial vehicles using a genetic algorithm , 2018 .

[56]  Suresh Kumar Gawre,et al.  A survey of autonomous mobile robot path planning approaches , 2017, 2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE).

[57]  I. Michael Ross,et al.  A review of pseudospectral optimal control: From theory to flight , 2012, Annu. Rev. Control..

[58]  S. Zhang,et al.  A symplectic pseudospectral method for nonlinear optimal control problems with inequality constraints. , 2017, ISA transactions.

[59]  S. Ali A. Moosavian,et al.  Robust Adaptive Controller for a Tractor–Trailer Mobile Robot , 2014, IEEE/ASME Transactions on Mechatronics.

[60]  Li Ma,et al.  Fuzzy Approximation Based Asymptotic Tracking Control for a Class of Uncertain Switched Nonlinear Systems , 2020, IEEE Transactions on Fuzzy Systems.

[61]  Chaymaa Lamini,et al.  H-MAS architecture and reinforcement learning method for autonomous robot path planning , 2017, 2017 Intelligent Systems and Computer Vision (ISCV).

[62]  Haibin Duan,et al.  Distributed UAV flocking control based on homing pigeon hierarchical strategies , 2017 .

[63]  Jia Yu,et al.  Path planning for carrier aircraft based on geometry and dijkstra's algorithm , 2017, 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE).

[64]  Nengjian Wang,et al.  High Level Architecture based simulation for aircraft carrier deck operations , 2016, 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).

[65]  Mary L. Cummings,et al.  A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations , 2016, IEEE Transactions on Human-Machine Systems.

[66]  Yi Fan Zhu,et al.  Genetic Algorithm Based Aircraft Spotting Allocation Optimal Scheduling Approach on Carrier Flight Deck , 2013, ICRA 2013.

[67]  Eric D. Swenson,et al.  A Persistent Monitoring System to Reduce Navy Aircraft Carrier Flight Deck Mishaps , 2009 .

[68]  Renquan Lu,et al.  Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[69]  Yalou Huang,et al.  Trajectory Generation and Tracking Control for Double-Steering Tractor–Trailer Mobile Robots With On-Axle Hitching , 2015, IEEE Transactions on Industrial Electronics.

[70]  Hanan Samet,et al.  A hierarchical strategy for path planning among moving obstacles [mobile robot] , 1989, IEEE Trans. Robotics Autom..

[71]  Saeed Khodaygan,et al.  Optimal path-planning for mobile robots to find a hidden target in an unknown environment based on machine learning , 2019, J. Ambient Intell. Humaniz. Comput..

[72]  Myoungkuk Park,et al.  Control of a mobile robot with passive multiple trailers , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[73]  Johannes Fottner,et al.  Optimal Motion Planning of Four-Wheeled Trailer System , 2019, 2019 Chinese Control Conference (CCC).

[74]  Manukid Parnichkun,et al.  Trajectory tracking using online learning LQR with adaptive learning control of a leg-exoskeleton for disorder gait rehabilitation , 2018 .

[75]  Yu Wu,et al.  A general trajectory optimization method for aircraft taxiing on flight deck of carrier , 2019 .

[76]  Yu Wu,et al.  A sequencing model for a team of aircraft landing on the carrier , 2016 .