Entorno de supervisión para vehículos aéreos no tripulados

La Universidad Politécnica de Madrid está investigando en el campo de la robótica inteligente, concretamente con el empleo de vehículos aéreos no tripulados (UAV). El objetivo final que se persigue con las investigaciones en este campo es el desarrollo de sistemas capaces de operar de forma más autónoma en un amplio espectro de situaciones. Dentro de este marco, este trabajo fin de grado se centra en el desarrollo de un sistema de supervisión para UAVs que persigue facilitar la monitorización de la ejecución de los procesos y facilitar la inclusión de procedimientos para incrementar la tolerancia a los fallos software. A lo largo de esta memoria se ofrece una revisión del estado del arte en el ámbito de la robótica, haciendo especial hincapié en la robótica inteligente con los métodos de desarrollo existentes y la definición de los distintos marcos de clasificación de la autonomía. También se ofrece una vista a las distintas técnicas existentes para lograr una mayor tolerancia a los fallos software, de entre las que han sido seleccionadas varias de ellas en la realización de este trabajo. Finalmente se describe el sistema de supervisión desarrollado, explicando primero el sistema desde un punto de vista funcional para más adelante adentrarse en la solución técnica elaborada. ---ABSTRACT--- The Universidad Politécnica de Madrid is currently handling several investigations regarding AI robotics, some of them are actually directing their efforts into the use of unmanned aerial vehicles (UAV). The goal in the long term for this investigations is the accomplishment of systems capable of operating autonomously, regardless of the situation the robot is place at. From this perspective, this final degree project focuses on de design and development of a supervision system for UAV’s, which function is to ease the monitoring of executing processes and the inclusion of fault tolerant procedures. During the development of this document a state of the art revision is offered, in which a thorough description through development methods and autonomy definitions for AI robotics is made. It is also offered a look around the different existing techniques for achieving a greater software fault tolerance, from which some of them were chosen for the development of this project. Finally the developed supervision system is described, first from a pure functional perspective of what the system should do and latter with a description of the actual technical solutions developed for this system.

A novel ground fault non-directional selective protection method for ungrounded distribution networks

This paper presents a new selective and non-directional protection method to detect ground faults in neutral isolated power systems. The new proposed method is based on the comparison of the rms value of the residual current of all the lines connected to a bus, and it is able to determine the line with ground defect. Additionally, this method can be used for the protection of secondary substation. This protection method avoids the unwanted trips produced by wrong settings or wiring errors, which sometimes occur in the existing directional ground fault protections. This new method has been validated through computer simulations and experimental laboratory tests.

A Novel Ground Fault Identification Method for 2 x 5 kV Railway Power Supply Systems

The location of ground faults in railway electric lines in 2 × 5 kV railway power supply systems is a difficult task. In both 1 × 25 kV and transmission power systems it is common practice to use distance protection relays to clear ground faults and localize their positions. However, in the particular case of this 2 × 25 kV system, due to the widespread use of autotransformers, the relation between the distance and the impedance seen by the distance protection relays is not linear and therefore the location is not accurate enough. This paper presents a simple and economical method to identify the subsection between autotransformers and the conductor (catenary or feeder) where the ground fault is happening. This method is based on the comparison of the angle between the current and the voltage of the positive terminal in each autotransformer. Consequently, after the identification of the subsection and the conductor with the ground defect, only the subsection where the ground fault is present will be quickly removed from service, with the minimum effect on rail traffic. This method has been validated through computer simulations and laboratory tests with positive results.

Systematic Process for Building a Fault Diagnoser Based on Petri Nets Applied to a Helicopter

This work presents a systematic process for building a Fault Diagnoser (FD), based on Petri Nets (PNs) which has been applied to a small helicopter. This novel tool is able to detect both intermittent and permanent faults. The work carried out is discussed from theoretical and practical point of view. The procedure begins with a division of the whole system into subsystems, which are the devices that have to be modeled by using PN, considering both the normal and fault operations. Subsequently, the models are integrated into a global Petri Net diagnoser (PND) that is able to monitor a whole helicopter and show critical variables to the operator in order to determine the UAV health, preventing accidents in this manner. A Data Acquisition System (DAQ) has been designed for collecting data during the flights and feeding PN diagnoser with them. Several real flights (nominal or under failure) have been carried out to perform the diagnoser setup and verify its performance. A summary of the validation results obtained during real flight tests is also included. An extensive use of this tool will improve preventive maintenance protocols for UAVs (especially helicopters) and allow establishing recommendations in regulations

Field-winding fault detection in synchronous machines with static excitation through frequency response analysis.

Frequency Response Analysis is a well-known technique for the diagnosis of power transformers. Currently, this technique is under research for its application in rotary electrical machines. This paper presents significant results on the application of Frequency Response Analysis to fault detection in field winding of synchronous machines with static excitation. First, the influence of the rotor position on the frequency response is evaluated. Secondly, some relevant test results are shown regarding ground fault and inter-turn fault detection in field windings at standstill condition. The influence of the fault resistance value is also taken into account. This paper also studies the applicability of Frequency Response Analysis in fault detection in field windings while rotating. This represents an important feature because some defects only appear with the machine rated speed. Several laboratory test results show the applicability of this fault detection technique in field windings at full speed with no excitation current.

New Fault-Resistance Estimation Algorithm for Rotor-Winding Ground-Fault Online Location in Synchronous Machines With Static Excitation

New Fault-Resistance Estimation Algorithm for Rotor-Winding Ground-Fault Online Location in Synchronous Machines With Static Excitation