As Tesla advances in technology, is expeditiously embarking on exploring an emerging field, driverless technology. Due to the current instability of systems are not commonly used at moment. Nevertheless, its impact can be neglected. Therefore, this study focuses emergence autonomous driving Tesla. Specifically, paper explores brought about by collecting statistical data, gathering real-life cas...

The work described in this paper was motivated by our experience with applying a framework for formal analysis of human-machine interactions (HMI) to a realistic model of an autopilot. The framework is built around a formally defined conformance relation called “fullcontrol” between an actual system and the mental model according to which the system is operated. Systems are well-designed if the...

This paper presents a novel formulation of the flight dynamic equations that permits a rapid solution for the design of trajectory following autopilots for nonlinear aircraft dynamic models. A robust autopilot control structure is developed based on the combination of the good features the Nonlinear Dynamic Inversion (NDI) method, Integrator Backstepping method, Time Scale separation and Contro...

This thesis explores the use of velocity information obtained by a Global Positioning System (GPS) receiver to close the aircraft’s flight control loop. A novel framework to synthesize attitude information from GPS velocity vector measurements is discussed. The framework combines the benefits of high-quality GPS velocity measurements with a novel velocity vector based flight control paradigm to...

With the evolution of high power density battery, cheap air frames, powerful microprocessors etc. Unmanned aerial vehicle (UAV) started playing a great role in various areas like traffic monitoring, aerial surveillance, hurricane hunting and so on. The UAV's used for these purposes are usually flown at low altitudes, almost below 1000m. Flying at such low altitudes make the UAV easy to crash. T...

A recently developed approach to the control of uncertain nonlinear systems uses neural network technology to improve upon feedback linearization. In the proposed architecture, a neural network adaptively cancels linearization errors through on-line learning. One feature which distinguishes this approach is its use of Lyapunov stability theory to guarantee closed-loop stability. In this paper, ...

This paper describes dynamic system identification, and full control of a cost-effective vertical take-off and landing (VTOL) multi-rotor micro-aerial vehicle (MAV) — DJI Matrice 100. The dynamics of the vehicle and autopilot controllers are identified using only a built-in IMU and utilized to design a subsequent model predictive controller (MPC). Experimental results for the control performanc...

This paper address the control problem for the bank-to-turn (BTT) missile, which is a complicated nonlinear system. BTT autopilot is not simple, mainly due to the nonlinear and coupled character of system equations, the lack of a precise model for the missile dynamics and parameters, as well as the appearance of internal and external perturbations. The proposed methodology is an approach includ...