The continuous growth in flight operations has led to public concern regarding the impact of aviation on the environment with its anthropogenic contribution to global warming. Several solutions have been proposed in order to reduce the environmental impact of aviation. However most of them are long term solutions such as new environmental friendly aircraft and engine designs. In this respect, management of aircraft trajectory and mission is a potential short term solution that can readily be implemented. Therefore, in order to truly understand the optimised environment friendly trajectories that can be actually deployed by airlines, it is important to investigate the impact of degraded engine performance on real aircraft trajectories at multi-disciplinary level. Several trajectory optimisation studies have been conducted in this direction in the recent past, but engines considered for the studies were clean and trajectories were ideal and simple. This research aims to provide a methodology to enhance the conventional approach of the aircraft trajectory optimisation problem by including engine degradation and real aircraft flight paths within the optimisation loop (framework); thereby the impact of engine degradation on optimum aircraft trajectories were assessed by quantifying the difference in fuel burn and emissions, when flying a trajectory which has been specifically optimised for an aircraft with degraded engines and flying a trajectory which has been optimised for clean engines. For the purpose of this study models of a clean and two levels of degraded engines have been developed that are similar to engines used in short range and long range aircraft currently in service. Degradation levels have been assumed based on the deterioration levels of Exhaust Gas Temperature (EGT) margin. Aircraft performance models have been developed for short range and long range aircraft with the capability of simulating (generating) vertical and horizontal flight profiles provides by the airlines. An emission prediction model was developed to assess NOx emissions of the mission. The contrail prediction model was adopted from previous studies to predict contrail formation. In addition, a multidisciplinary aircraft trajectory optimisation framework was developed and employed to analyse short range flight trajectories between London and Amsterdam and long range flight trajectories between London and Colombo under three cases. Case_1: Aircraft with clean engines, Case_2 and Case_3 were Aircraft with two different levels of degraded engines having a 5% and 10% Exhaust Gas Temperature (EGT) increase respectively. Three different multi objective optimisation studies were performed; (1) Fuel burn vs Flight time, (2) Fuel burn vs NOx emission, and (3) Fuel burn vs Contrails. Finally optimised trajectories generated with degraded engines were compared with the optimised trajectories generated with clean engines ... [cont].

The prediction of contrails have been studied since the 1930s primarily for militaryapplications. In present times, contrail avoidance strategies are gaining popularity insustainable aviation. In this project, the theory behind their formation, persistenceand the mitigation strategies are explored, studied and implemented.Several methods are evaluated in order to predict the critical temperature. Aircraftparameters are included in the prediction of contrails and implemented. This dynamicprogramming is contrasted against real case operational flight plans.The first implementation considers an operational flight plan for which contrails are pre-dicted along the trajectory. The second involves the prediction of contrails at the end ofthe vertical trajectory optimisation. The optimisation for contrail persistence avoidanceis also accomplished. Results show that contrail persistence can be avoided. / Förutsägelsen av kondensspår har studerats sedan 1930-talet, främst för militära tillämp-ningar. I nutid, strategier för undvikande av långvariga kondensspår ökar i popularitetinom hållbar flygning. I det här examensarbetet, utforskas och studeras teorin bakombildning, uthållighet och begränsningsstrategier för kondensspår för att sedan imple-menteras.Flera metoder evalueras för att förutsäga den kritiska temperaturen. Flygplansparame-trar är inkluderade och implementerade i förutsägelsen av kondesspår. Den dynamiskaprogrammeringen jämförs mot verkliga operativa färdplaner.Den första implementeringen avser en operativ färdplan för vilken kondensspår förut-spås längs banan. Den andra implementeringen involverar förutsägelse av kondensspåri slutet av den vertikala banoptimeringen. Optimeringen med avseende på långvarigakondensspår genomförs också. Resultaten visar att långvariga kondensspår kan und-vikas.

Proper modelling of the gravitational fields of irregularly shaped asteroids and comets is an essential yet challenging part of any spacecraft visit and flyby to these bodies. Accurate density representations provide crucial information for proximity missions, which rely heavily on it to design safe and efficient trajectories. This work explores using a spacecraft swarm to maximise the measured gravitational signal in a hypothetical mission around the comet 67P/Churyumov-Gerasimenko. Spacecraft trajectories are simultaneously computed and evaluated using a high-order numerical integrator and an evolutionary optimisation method to maximise overall signal return. The propagation is based on an open-source polyhedral gravity model using a detailed mesh of 67P/C-G and considers the comet’s sidereal rotation. We compare performance on various mission scenarios using one and four spacecraft. The results show that the swarm achieved an expected increase in coverage over a single spacecraft when considering a fixed mission duration. However, optimising for a single spacecraft results in a more effective trajectory. The impact of dimensionality is further studied by introducing an iterative local search strategy, resulting in a generally improved robustness for finding efficient solutions. Overall, this work serves as a testbed for designing a set of trajectories in particularly complex gravitational environments, balancing measured signals and risks in a swarm scenario. / En korrekt modellering av de gravitationsfält som uppstår runt irreguljärt formade asteroider och kometer är en avgörande och utmanande del för alla uppdrag till likartade himlakroppar. Exakta densitetsrepresentationer tillhandahåller viktig information för att säkerställa säkra och effektiva rutter för särsilt närgående rymdfarkoster. I denna studie utforskar vi användningen av en svärm av rymdfarkoster för att maximera den uppmätta gravitationssignalen i ett hypotetisk uppdrag runt kometen 67P/Churyumov-Gerasimenko. Rymdfarkosternas banor beräknas och utvärderas i parallella scheman med hjälp av en högre ordningens numerisk integration och en evolutionär optimeringsmetod i syfte att maximera den totala uppmätta signalen. Beräkningarna baseras på en öppen källkod för en polyhedral gravitationsmodell som använder ett detaljerat rutnät av triangulära polygoner för att representera 67P/C-G och beaktar kometens egna rotation. Vi jämför sedan prestanden för olika uppdragscenarier med en respektive fyra rymdfarkoster. Resultaten visar att svärmen uppnådde en förväntad ökning i täckning jämfört med en enskild rymdfarkost under en fast uppdragsvaraktighet. Dock resulterar optimering för en enskild rymdfarkost i en mer effektiv bana. Påverkan av dimensionshöjningen hos oberoende variabler studeras vidare genom att introducera en iterativ lokal sökstrategi, vilket resulterar i en generellt förbättrad robusthet samt effektivare lösningar. Sammantaget fungerar detta arbete som en testbädd för att studera och utforma rymdfarkosters banor i särskilt komplexa gravitationsmiljöer, samt för att balansera uppmätta signaler och risker i ett svärmscenario.

Cette thèse s'inscrit dans l'amélioration de la gestion du trafic aérien. Le vent et la température sont deux paramètres omniprésents, subis, et à l'origine de nombreux biais de prédiction qui altèrent le suivi des trajectoires. Nous proposons une méthode pour limiter ces biais. Le concept "Wind and Température Networking" améliore la prédiction de trajectoire en utilisant le vent et la température mesurés par les avions voisins. Nous détaillons les effets de la température sur l'avion, permettant sa prise en compte. L'évaluation du concept est faite sur 8000 vols. Nous traitons du calcul de trajectoires optimales en présence de vent prédit, pour remplacer les actuelles routes de l'Atlantique Nord, et aboutir à des groupes de trajectoires optimisées et robustes. Dans la conclusion, nous présentons d'autres champs d'applications du partage de vents, et abordons les besoins en nouvelles infrastructures et protocoles de communication, nécessaires à la prise en compte de ce nouveau concept. / This thesis is related to air traffic management systems current changes. On the ground and in flight, trajectory calculation methods and available data differ. Wind and temperature are two ubiquitous parameters that are subject to and cause prediction bias. We propose a concept to limit this bias. Our "Wind and Temperature Networking" concept improves trajectory prediction, using wind and temperature information from neighboring aircraft. We detail the effects of temperature on the aircraft performances, allowing for temperature to be taken into account. The concept evaluation is done on 8000 flights. We discuss the calculation of optimal trajectories in the presence of predicted winds, to replace the current North Atlantic Tracks, and to provide optimized and robust groups of trajectories. The conclusion of this thesis presents other fields of wind sharing applications, and addresses the need for new telecommunications infrastructures and protocols.