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Introduction Hybrid Optimal control Case Study Summary and Future Work The end A Numerical Framework and Benchmark Case study for Muti-modal Fuel Efficient Aircraft Conflict Avoidance Manuel Soler, Maryam Kamgarpour, and John Lygeros

Introduction Hybrid Optimal control Case Study Summary and Future Work The end A Numerical Framework and Benchmark Case study for Muti-modal Fuel Efficient Aircraft Conflict Avoidance Manuel Soler, Maryam Kamgarpour, and John Lygeros Presented by Manuel Soler Department of Bioengineering and Aerospace Engineering Universidad Carlos III de Madrid ICRAT. Istanbul, Turkey. May 28th, 2014 Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Outline 1 Introduction Motivation Description of the problem 2 Hybrid Optimal control Hybrid optimal control problem statement Solution approach 3 Case Study Problem set up Results 4 Summary and future work Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Outline 1 Introduction Motivation Description of the problem 2 Hybrid Optimal control Hybrid optimal control problem statement Solution approach 3 Case Study Problem set up Results 4 Summary and future work Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Outline 1 Introduction Motivation Description of the problem 2 Hybrid Optimal control Hybrid optimal control problem statement Solution approach 3 Case Study Problem set up Results 4 Summary and future work Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Outline 1 Introduction Motivation Description of the problem 2 Hybrid Optimal control Hybrid optimal control problem statement Solution approach 3 Case Study Problem set up Results 4 Summary and future work Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Motivation Motivation The future ATM is to be built around the so called Trajectory Based Operational (TBO) concept Trajectory Management Planning Sharing Agreeing Syncronizing Human in/over the loop Pilots Controllers Developing Human Decision Support tools for a safer, more efficient air navigation system Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Description of the problem Description of the problem Conflict avoidance Description of the problem The goal is to find optimal trajectories at the tactical level that avoid loss of separation minima. We take into account non-linear aircraft performance in order to analyze fuel consumption; operational advisories (speed and heading advisories) as modes of the system; The problem is formulated as a Hybrid Optimal Control Problem. Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Description of the problem Description of the problem Conflict avoidance Description of the problem The goal is to find optimal trajectories at the tactical level that avoid loss of separation minima. We take into account non-linear aircraft performance in order to analyze fuel consumption; operational advisories (speed and heading advisories) as modes of the system; The problem is formulated as a Hybrid Optimal Control Problem. Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Description of the problem Description of the problem Conflict avoidance Description of the problem The goal is to find optimal trajectories at the tactical level that avoid loss of separation minima. We take into account non-linear aircraft performance in order to analyze fuel consumption; operational advisories (speed and heading advisories) as modes of the system; The problem is formulated as a Hybrid Optimal Control Problem. Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Description of the problem Description of the problem Conflict avoidance Description of the problem The goal is to find optimal trajectories at the tactical level that avoid loss of separation minima. We take into account non-linear aircraft performance in order to analyze fuel consumption; operational advisories (speed and heading advisories) as modes of the system; The problem is formulated as a Hybrid Optimal Control Problem. Manuel Soler ICRAT’14
Introduction Hybrid Optimal control Case Study Summary and Future Work The end Description of the problem Description of the problem Conflict avoidance Description of the problem The goal is to find optimal trajectories at the tactical level that avoid loss of separation minima. We take into account non-linear aircraft performance in order to analyze fuel consumption; operational advisories (speed and heading advisories) as modes of the system; The problem is formulated as a Hybrid Optimal Control Problem. Manuel Soler ICRAT’14

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