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Autonomous ground vehicles (AGVs) is a growing field within research. AGVs are used in areas like reconnaissance,surveillance, transportation and self-driving cars. The goal of this project is to drive a system of five AGVs modelled as differential drive vehicles along an arbitrary path through a field of obstacles while holding a formation. The goal is achieved by dividing the project into three subprojects. The first subproject is trajectory tracking of one AGV. This is achieved by using the differentialdrivemodel and driving the tracking error of the system to zero.The second subproject is formation control, where a displacement-based, double integrator model is used to get five AGVs to hold a formation of an equilateral triangle while following a path.The third subproject is collision avoidance between AGVs and static obstacles placed along the predetermined path. Collision avoidance is achieved by adding a repulsive potential field around the AGVs and obstacles. All three subprojects are then combined to achieve the goal of the project. Finally, simulations are done in Matlab which confirms that the proposed models are correct. / Autonoma vägfordon är ett växande område inom forskning. Autonoma vägfordon används inom områden som spaning, övervakning, transportering och självkörande bilar.Målet med det här projektet är att köra ett system med fem autonoma vägfordon modellerade som differentialdrivna fordon längsmed en slumpmässig väg genom ett fält med hinder samtidigt som de håller en formation. Målet uppnås genom att dela upp projektet i tre delprojekt. Det första delprojektet är banspårning med ett autonomt vägfordon. Det görs genom att använda den differentialdrivna modellen och driva systemets spårningsfel till noll. Det andra delprojektet är formationshållning där en förskjutningsbaserad dubbelintegratormodell används för att få fem fordon att följa en väg samtidigt som de håller formen av en liksidig triangel. Det tredje delprojektet handlar om att undvika kollision mellan fordonen och statiska hinder som placerats på vägen. Kollisionsundvikning uppnås genom att lägga på ett repellerande potentialfält runt alla agenter och hinder. Alla tre delprojekt kombineras sedan för att lösa projektmålet. Slutligen görs simuleringar i Matlab vilket bekräftar att de framtagna modellerna är korrekta. / Kandidatexjobb i elektroteknik 2022, KTH, Stockholm

As autonomous ground vehicles grow in popularity,it is of interest to study how they could coordinate together andhow the technical systems can be implemented in a safe andeffective manner. The objective of this report is to examine howto autonomously move a formation of vehicles without collisionswith obstacles or other vehicles. This is done by considering threefundamental aspects: trajectory tracking, formation control andcollision avoidance. Firstly a trajectory tracking controller for anindividual vehicle is implemented, with the function of followinga desired trajectory. Secondly a displacement-based formationcontrol is explored for two models, the double-integrator modeland the nonholonomic model, with the objective of coordinatingmultiple vehicles to keep a certain formation. Lastly collisionavoidance is integrated in the formation control by adding arepulsive term to the formation controller. It is shown thatthe agents maintained formation while avoiding collision withobstacles and other agents. The implemented controllers wereverified through simulations in MATLAB. / Eftersom autonoma markfordon blir allt mer vanligt är det vikt att studera hur de kan samordna tillsammans och hur de tekniska systemen kan implementeras på ett säkert samt effektivt sätt. Syftet med denna rapport är att undersöka hur man autonomt kan flytta en formation av fordon utan kollisioner med hinder eller med andra fordon. Detta görs genom att tre grundläggande aspekter övervägs: projektilspårning, formationshållning och kollisionsundvikande. Först implementeras en regulator för projektilsspårning, där funktionen är att följa en önskad bana. Därefter undersöks två modeller inom förskjutningsbaserad formationshållning, med ambitionen att samordna alla fordon för att behålla formationen. Slutligen så integreras metoder för kollisionsundvikning med formationshållning genom att lägga till bortstötande teknik i regulatorn för formationshållning. Det visades att fordonen lyckades med att upprätthålla formationen samtidigt som kollisioner mellan hinder och andra fordon undveks. De implementerade regulatorerna verifierades genom simuleringar i MATLAB. / Kandidatexjobb i elektroteknik 2021, KTH, Stockholm

The usage of autonomous ground vehicles is growingextensively. Therefore, it is important to gain a better understand-ing for the fundamentals of their communication network. Inthis paper, three important areas will be considered: Trajectorytracking, formation control and collision avoidance. Firstly,trajectory tracking is implemented for unicycles to direct them toa reference path. Secondly, formation control is examined for twoapproaches: A method based on virtual structure with a presettrajectory for unicycles and a method based on displacement forpoint agents. Finally, collision avoidance is incorporated withthe displacement-based controller. For this case, agents keepformation without colliding within formation and with staticobstacles in the workspace. The proposed controllers are verifiedthrough simulations in MATLAB. / Användningen av autonoma markfordon har ökat kraftigt de senaste åren. Således är det viktigt att få en bättre förståelse för grunderna i deras kommunikationsnätverk. I detta projekt studeras tre essentiella områden: projektilspårning, formationshållning och undvikning av kollisioner. Först och främst implementeras projektilspårning för en enhjuling där den styrs mot en önskad projektilbana. Därefter betraktas formationshållning genom två metoder: Den första metoden handlar om virtuella strukturer med en förutbestämd bana för enhjulingar. Den andra metoden baseras på en förskjutningsbaserad regulator. Slutligen införs undvikning av kollisioner tillsammans med den förskjutningsbaserade regulatorn för att uppnå ett kollisionsundvikande robotsystem. Samtliga objektiv inom de tre områdena nås med varierande precision. / Kandidatexjobb i elektroteknik 2020, KTH, Stockholm

Advanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGV) have the potential to increase road transportation safety, environmental gains, and passenger comfort. The advent of Electric Vehicles has also facilitated greater flexibility in powertrain architectures and control capabilities. Path Tracking controllers that provide steering input are used to execute lateral maneuvers or model the response of a vehicle during cornering. Direct Yaw Control using Torque Vectoring has the potential to improve vehicle's transient cornering stability and modify its steady state handling characteristics during lateral maneuvers. In the first part of this thesis, the transient dynamics of an existing baseline Path Tracking controller is improved using a transient Torque Vectoring algorithm. The existing baseline Path Tracking controller is evaluated, using a linearized system, for a range of vehicle and controller parameters. The effect of implementing transient Torque Vectoring along with the baseline Path Tracking controller is then studied for the same parameter range. The linear analysis shows, in both time and frequency domain, that the transient Torque Vectoring improves vehicle response and stability during cornering. A Torque Vectoring controller is developed in Linear Adaptive Model Predictive Control framework and it's performance is verified in simulation using Simulink and CarSim. The second part of the thesis analyzes the tradeoff enabled by steady state Torque Vectoring between improved limit handling capability through optimal tire force allocation and drivability demonstrated by understeer gradient. Optimal tire force allocation prescribes equal usage in all four tires during maneuvers. This is enabled using steering and Torque Vectoring. An analytical proof is presented which demonstrates that implementation of this optimal tire force allocation results in neutralsteering handling characteristics for the vehicle. The optimal tire force allocation strategy is formulated as a minimax optimization problem. A two-track vehicle model is simulated for this strategy, and it verified the analytical proof by displaying neutralsteering behavior. / Master of Science / Advanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGVs) have the potential to increase road transportation safety, environmental gains, passenger comfort and passenger productivity. The advent of Electric Vehicles (EVs) has also facilitated greater flexibility in powertrain configurations and capabilities that facilitate the implementation of Torque Vectoring (TV), which is a method of applying differential torques to laterally opposite wheels to enhance the cornering performance of ground vehicles. Path Tracking (PT) controllers that provide steering input to the vehicles are traditionally used for lateral control in AGVs and ADAS features. The goal of this thesis is to develop Torque Vectoring algorithms to improve a vehicle's stability and shape its steady state behaviour through a corner during low lateral acceleration maneuvers. An existing baseline Path Tracking controller is selected and evaluated. The effect of implementing Torque Vectoring along with this Path Tracking controller is studied and it is found to improve the stability of the vehicle during cornering. This is verified in simulation by designing and implementing the Torque Vectoring algorithm. Finally, a Torque Vectoring strategy is proposed to manage the handling of the vehicle during low acceleration cornering.