Data-Driven Learning and Receding Horizon Control for Quadrotors

This paper presents a control framework for the problem of unknown signal source localization based on quadrotors. There are two levels for the proposed control framework: a decision level and an execution level. In the decision level, the gaussian process regression approach is first used to provide the possible locations of all signal sources. Then, the reference trajectory of quadrotors is planned by the RHC approach. In the execution level, the reference trajectory is fed to the quadrotor controller, where position controllers and attitude controllers are designed with the PID controllers. Finally, through simulation experiments, the effectiveness of the proposed control framework is verified.

[1]  Xing Wang,et al.  UAV path planning based on receding horizon control with adaptive strategy , 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

[2]  Jiang Ji Modeling and PID control for a quadrotor , 2013 .

[3]  Calin Belta,et al.  A receding horizon algorithm for informative path planning with temporal logic constraints , 2013, 2013 IEEE International Conference on Robotics and Automation.

[4]  Qing-Long Han,et al.  A Finite-Time Motion Control Strategy for Odor Source Localization , 2014, IEEE Transactions on Industrial Electronics.

[5]  S Roberts,et al.  Gaussian processes for time-series modelling , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[6]  David G. Michelson,et al.  RSSI-Based Distributed Self-Localization for Wireless Sensor Networks Used in Precision Agriculture , 2015, IEEE Transactions on Wireless Communications.

[7]  Xiaogao Xie,et al.  Decision Making and Finite-Time Motion Control for a Group of Robots , 2013, IEEE Transactions on Cybernetics.

[8]  Zongyu Zuo,et al.  Trajectory tracking control design with command-filtered compensation for a quadrotor , 2010 .

[9]  Xiaohui Chen,et al.  An improved localization algorithm in wireless sensor network , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[10]  Jinde Cao,et al.  Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling , 2017, IEEE Transactions on Cybernetics.

[11]  Federico Viani,et al.  Low-Cost Wireless Monitoring and Decision Support for Water Saving in Agriculture , 2017, IEEE Sensors Journal.

[12]  Ismail Guvenc,et al.  Receding Horizon Multi-UAV Cooperative Tracking of Moving RF Source , 2017, IEEE Communications Letters.

[13]  Yueyue Chen,et al.  PSO-based receding horizon control of mobile robots for local path planning , 2017, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.

[14]  Daniela Rus,et al.  Particle robotics based on statistical mechanics of loosely coupled components , 2019, Nature.

[15]  Michael A. Osborne,et al.  Gaussian process regression for forecasting battery state of health , 2017, 1703.05687.

[16]  Youmin Zhang,et al.  An Efficient Model Predictive Control Scheme for an Unmanned Quadrotor Helicopter , 2013, J. Intell. Robotic Syst..

[17]  Anthony Tzes,et al.  Model predictive quadrotor control: attitude, altitude and position experimental studies , 2012 .

[18]  Anna Wawrzynczak,et al.  Bayesian-Based Methods for the Estimation of the Unknown Model’s Parameters in the Case of the Localization of the Atmospheric Contamination Source , 2012 .

[19]  Qing-Long Han,et al.  Mobile Robot Networks for Environmental Monitoring: A Cooperative Receding Horizon Temporal Logic Control Approach , 2019, IEEE Transactions on Cybernetics.

[20]  Yan Chen,et al.  An improved DV-hop localization algorithm for wireless sensor networks , 2018, 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[21]  Jizhong Xiao,et al.  A literature review of UAV 3D path planning , 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

[22]  Yuan Xu Modeling and PID control for a quadrotor , 2012 .

[23]  Ravi Sankar,et al.  A Survey of Intrusion Detection Systems in Wireless Sensor Networks , 2014, IEEE Communications Surveys & Tutorials.

[24]  Dezhen Song,et al.  Simultaneous Localization of Multiple Unknown and Transient Radio Sources Using a Mobile Robot , 2012, IEEE Transactions on Robotics.