Designing Multirotor UAV
This Program elaborates in detail the design and modelling of a configurable multi-rotor UAV. Rotor arms are arranged into the formation adaptable to both quad-copter and hexacopter flights. Connection mechanism enables easy detachment or installment of arms. Mathematical modelling proves the viability of modified configuration in flight kinematics and forces and moments generation. The configurable multirotor UAV performs well in actual flight tests with different payloads. In future, more configurations can be integrated into this UAV platform to further enhance its versatility. Autonomous control law can also be implemented such that the UAV would fly automatically with the assistant from GPS. With this UAV prototype as a foundation, future UAV platforms are able to operate with adjustable loading capacity, flying speed and flight duration over a wider range. When in service among large UAV fleets, each is more energy efficient and adaptable in catering to its specific task; when in private use, configurable UAV is flexible enough to handle personal requests of all sorts.
Efficiency in motor configuration and structure analysis
In this program, elaborates an energy efficiency study of Variable-Speed Drives for Single-Phase Induction Motors. The objective was to evaluate popular variable-speed drive schemes as they operate in their most efficient mode under different loading conditions. The considered schemes included phase control, variable-frequency drives and voltage control. This study focused on the development of experimental test methodologies to characterize motors and implement desired control schemes. Mathematical mod-eling and computer simulations were also utilized for engi-neering design and analysis. The fan load application was considered for further illustration of the developed method-ology. This study provides a general framework for the evaluation and selection of variable-speed drives.
Night vision and Infrared vision system
This program describes the various Night vision and Infrared vision techniques."Night Vision" is referenced as technology that provides us with the miracle of vision in total darkness and the improvement of vision in low light environments. This technology is an amalgam of several different methods each having its own advantages and disadvantages. The most common methods described here are Low-Light Imaging, Thermal Imaging and Illumination’s. This program also give brief idea about various night vision device (NVD) that allows images to be produced in levels of light approaching total darkness,it also explains various applications where night vision technology is used to solve various problems due to low light conditions .
Advance flight controllers
This chapter introduces automated flight control in the advanced avionics cockpit. You will learn to use an autopilotsystem that can significantly reduce workload during critical phases of flight. The two-axis autopilot system installed in most general aviation aircraft controls the pitch and roll of the aircraft. The autopilot can operate independently, controlling heading and altitude, or it can be coupled to a navigationsystem and fly a programmed course or an approach with glideslope. In addition to learning how to use the autopilot, you must also learn when to use it and when not to use it.
This program preaches the current state of the art in the development of unmanned aerial vehicles, focusing on algorithms for quadrotors. Tremendous progress has been made across both industry and academia, and full vehicle autonomy is now well within reach. We begin by presenting recent successes in control, estimation, and trajectory planning that have enabled agile, high-speed flight using low-cost onboard sensors. We then examine new research trends in learning and multirobot systems and conclude with a discussion of open challenges and directions for future research.
Integration of raspberry pi with flight controllers
This program involves the design of a vision-based navigation and guidance system for a quadrotor unmanned aerial vehicle (UAV), to enable the UAV to follow a planned route specified by navigational markers, such as brightly colored squares, on the ground. A commercially available UAV is modified by attaching a camera and an embedded computer called Raspberry Pi. An image processing algorithm is designed using the open-source software library OpenCV to capture streaming video data from the camera and recognize the navigational markers. A guidance algorithm, also executed by the Raspberry Pi,is designed to command with the UAV autopilot to move from the currently recognized marker to the next marker. Laboratory bench tests and flight tests are performed to validate the designs.