Design of Quad Tiltrotor Attitude Control Experiment for Control System Education

The quad tiltrotor is a vertical take-off and landing UAV (Unmanned Aerial Vehicle). It has four propellers, each of which is mounted on four separate gimbals. This thesis presents an experimental design for the quad tiltrotor\u27s attitude controller.First, we detailed the mechatronic system of the quad tiltrotor and assembled the prototype. Then we derived the dynamic model using the Lagrangian method. Next, we designed a PID controller for our prototype using the feedback linearization method. Then we ran simulations. The results showed that our controller performed well when it came to tracking and stability. We also implemented the controller to the Pixhawk flight control board of our quad tiltrotor. Finally, we designed an experiment to test our attitude controller. The results analysis, which was performed with a MATLAB GUI that we developed, demonstrated that our design is practicable and flexible

Investigate how construction waste generation rate is, different for every types of project in peninsular Malaysia, using site visit method

Malaysia is a rapid development of its urban centre, and where construction and demolition (C&D) waste generation is increasing proportionally with the new construction industry development. In Malaysia, the most crucial issue highlighted by local researchers is excessive of C&D waste generation. The transfer of construction and demolition waste at landfills has brought about major ecological concerns and government sources demonstrate that there is an intense lack of landfill space in Malaysia. The aim of this study is to investigate the construction waste generation rate in Malaysia due to different project types. To obtain the waste generation rate, construction sites visit is required. In construction site, direct and indirect approaches were utilized to collect C&D waste generation data based on data available. For the construction waste generation rate, nonresidential projects obtained smallest value such as 0.008 t/m2 while residential projects obtained highest value such as 0.016 t/m2. Social amenities obtained 0.010 t/m2 of waste generation rate. Waste generation rate is different compare to waste generation due to projects sizes. Waste generation rate shows the actual waste generation for every projects type based on gross floor area. The gross floor area is important parts need to be considered during waste generation which provide actual waste generation data. Waste generation rate plays an important role to measure waste generation for every type of projects. This study, will be very much beneficial for contractors and clients to control the construction waste in construction site and to identify efficiencies of projects using waste generation rate. Besides that, provide a generation rate on construction waste to the Government for control the waste and reduce illegal dumping in future

A Contribution to the Design of Highly Redundant Compliant Aerial Manipulation Systems

Es ist vorhersehbar, dass die Luftmanipulatoren in den nächsten Jahrzehnten für viele Aufgaben eingesetzt werden, die entweder zu gefährlich oder zu teuer sind, um sie mit herkömmlichen Methoden zu bewältigen. In dieser Arbeit wird eine neuartige Lösung für die Gesamtsteuerung von hochredundanten Luftmanipulationssystemen vorgestellt. Die Ergebnisse werden auf eine Referenzkonfiguration angewendet, die als universelle Plattform für die Durchführung verschiedener Luftmanipulationsaufgaben etabliert wird. Diese Plattform besteht aus einer omnidirektionalen Drohne und einem seriellen Manipulator. Um den modularen Regelungsentwurf zu gewährleisten, werden zwei rechnerisch effiziente Algorithmen untersucht, um den virtuellen Eingang den Aktuatorbefehlen zuzuordnen. Durch die Integration eines auf einem künstlichen neuronalen Netz basierenden Diagnosemoduls und der rekonfigurierbaren Steuerungszuordnung in den Regelkreis, wird die Fehlertoleranz für die Drohne erzielt. Außerdem wird die Motorsättigung durch Rekonfiguration der Geschwindigkeits- und Beschleunigungsprofile behandelt. Für die Beobachtung der externen Kräfte und Drehmomente werden zwei Filter vorgestellt. Dies ist notwendig, um ein nachgiebiges Verhalten des Endeffektors durch die achsenselektive Impedanzregelung zu erreichen. Unter Ausnutzung der Redundanz des vorgestellten Luftmanipulators wird ein Regler entworfen, der nicht nur die Referenz der Endeffektor-Bewegung verfolgt, sondern auch priorisierte sekundäre Aufgaben ausführt. Die Wirksamkeit der vorgestellten Lösungen wird durch umfangreiche Tests überprüft, und das vorgestellte Steuerungssystem wird als sehr vielseitig und effektiv bewertet.:1 Introduction 2 Fundamentals 3 System Design and Modeling 4 Reconfigurable Control Allocation 5 Fault Diagnostics For Free Flight 6 Force and Torque Observer 7 Trajectory Generation 8 Hybrid Task Priority Control 9 System Integration and Performance Evaluation 10 ConclusionIn the following decades, aerial manipulators are expected to be deployed in scenarios that are either too dangerous for human beings or too expensive to be accomplished by traditional methods. This thesis presents a novel solution for the overall control of highly redundant aerial manipulation systems. The results are applied to a reference configuration established as a universal platform for performing various aerial manipulation tasks. The platform consists of an omnidirectional multirotor UAV and a serial manipulator. To ensure modular control design, two computationally efficient algorithms are studied to allocate the virtual input to actuator commands. Fault tolerance of the aerial vehicle is achieved by integrating a diagnostic module based on an artificial neural network and the reconfigurable control allocation into the control loop. Besides, the risk of input saturation of individual rotors is minimized by predicting and reconfiguring the speed and acceleration responses. Two filter-based observers are presented to provide the knowledge of external forces and torques, which is necessary to achieve compliant behavior of the end-effector through an axis-selective impedance control in the outer loop. Exploiting the redundancy of the proposed aerial manipulator, the author has designed a control law to achieve the desired end-effector motion and execute secondary tasks in order of priority. The effectiveness of the proposed designs is verified with extensive tests generated by following Monte Carlo method, and the presented control scheme is proved to be versatile and effective.:1 Introduction 2 Fundamentals 3 System Design and Modeling 4 Reconfigurable Control Allocation 5 Fault Diagnostics For Free Flight 6 Force and Torque Observer 7 Trajectory Generation 8 Hybrid Task Priority Control 9 System Integration and Performance Evaluation 10 Conclusio

UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments

The design of novel UAV systems and the use of UAV platforms integrated with robotic sensing and imaging techniques, as well as the development of processing workflows and the capacity of ultra-high temporal and spatial resolution data, have enabled a rapid uptake of UAVs and drones across several industries and application domains.This book provides a forum for high-quality peer-reviewed papers that broaden awareness and understanding of single- and multiple-UAV developments for remote sensing applications, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities in GPS-enabled and, more broadly, Global Navigation Satellite System (GNSS)-enabled and GPS/GNSS-denied environments.Contributions include:UAV-based photogrammetry, laser scanning, multispectral imaging, hyperspectral imaging, and thermal imaging;UAV sensor applications; spatial ecology; pest detection; reef; forestry; volcanology; precision agriculture wildlife species tracking; search and rescue; target tracking; atmosphere monitoring; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring; pollution monitoring; microclimates; and land use;Wildlife and target detection and recognition from UAV imagery using deep learning and machine learning techniques;UAV-based change detection