Abstract

International audience The two first CEAS (Council of European Aerospace Societies) Specialist Conferences on Guidance, Navigation and Control (CEAS EuroGNC) were held in Munich, Germany in 2011 and in Delft, The Netherlands in 2013. ONERA The French Aerospace Lab, ISAE (Institut Supérieur de l’Aéronautique et de l’Espace) and ENAC (Ecole Nationale de l’Aviation Civile) accepted the challenge of jointly organizing the 3rd edition. The conference aims at promoting new advances in aerospace GNC theory and technologies for enhancing safety, survivability, efficiency, performance, autonomy and intelligence of aerospace systems. It represents a unique forum for communication and information exchange between specialists in the fields of GNC systems design and operation, including air traffic management. This book contains the forty best papers and gives an interesting snapshot of the latest advances over the following topics:l Control theory, analysis, and designl Novel navigation, estimation, and tracking methodsl Aircraft, spacecraft, missile and UAV guidance, navigation, and controll Flight testing and experimental resultsl Intelligent control in aerospace applicationsl Aerospace robotics and unmanned/autonomous systemsl Sensor systems for guidance, navigation and controll Guidance, navigation, and control concepts in air traffic control systemsFor the 3rd CEAS Specialist Conference on Guidance, Navigation and Control the International Program Committee conducted a formal review process. Each paper was reviewed in compliance with standard journal practice by at least two independent and anonymous reviewers. The papers published in this book were selected from the conference proceedings based on the results and recommendations from the reviewers. Document type: Part of book or chapter of book

Abstract

This paper presents an algorithm and a method to solve mechanical contact problems between two bodies or more, for linear elastic and finite deformation problems. The contact problem is considered as an optimization one, more specifically as a minimization problem. The interior point method is used to solve the minimization problem. This algorithm is symmetric and the user does not need to specify anymore a slave and a master body. The algorithm was developed using FreeFEM and IPOPT software.