Performing Department
(N/A)
Non Technical Summary
Our water, air, soil, farms, and forests depend on birds as vital natural resources. Birds consume insects, pollinate plants, disperse seeds, and maintain wetlands. Unfortunately, transmission line collisions kill 57 million birds annually in the United States. Installing markers that help birds see and not hit power lines can decrease bird collisions by more than 70%. Today, power linemen use bucket trucks and helicopters to install these lightweight devices on live electrical cables. However, the extreme risk and substantial cost required to install these reflectors limit widespread adoption.Pitch Aeronautics has built a drone designed for up-close inspections that leverages a cyclorotor for precision lateral positioning and wind tolerance and a unique configuration for placing 5-25 lb payloads next to structures. This SBIR phase I research will develop a novel flight control method to allow this drone to perform touch-based installations of bird diverters through systematic computer modeling, sub-component experiments, and flight testing. It will also create a new state estimation algorithm that fuses several electromagnetic field and other sensors to localize the drone relative to an energized power line. This state estimation system will be tuned and evaluated via laboratory experiments. Phase I research will culminate in using the drone to install a bird diverter on a de-energized cable and laboratory proof-of-concept of the sensor system. The proposed phase II development will combine these technologies to commercially demonstrate bird diverter installation on an energized power line. Ultimately, Pitch Aeronautics can substantially lower bird casualties with this bird diverter installation drone.
Animal Health Component
15%
Research Effort Categories
Basic
10%
Applied
15%
Developmental
75%
Goals / Objectives
Major Goal: Demonstrate bird diverterinstallation by Astria Hybrid Cyclorotor Drone on a de-energized cable.Key research objectives to achieve major goal:1. Complete subcomponent experiments of cyclorotor and lift motors2. Integratesubcomponent experiment data into the flight dynamics model3. Upgrade flight control system based on improved flight dynamics model4. Perform test stand tests to evaluate improved flight control system5. Perform flight test to evaluate improved flight control system6. Upgrade flight dynamics model based on data from test stand and flight test experiments7. Demonstrate bird diverter installation on de-energized cable.2. Major Goal: Demonstrate a state-estimation system adjacent to a simulatedpowered cable in the laboratory.Key research objectives to achieve major goal:1. Develop state-estimationmodel to test sensor algorithm2. Develop sensor algorithm3. Test sensor algorithm in model4. Improve sensor algorithm based on model testing5. Construct lab experiment6. Evaluate sensor algorithm and sensors in lab experiment7. Integrate lab experimental data into state estimation model8. Integrate lab experimental data to improve sensor algorithm
Project Methods
Pitch Aeronautics will use a model-based control design strategy to accomplish this innovative research. First, a computer model will be developed for flight dynamics in free and contact flight domains. To improve the components in this model, we will perform thrust-stand tests of the drone propellers and cyclorotor to identify their time-dependent thrust characteristics. Next, a novel flight control strategy will be developed in the model to accommodate flight in both regimes. Following control system computer development and testing, the drone will be flown on a test stand that simulates free flight (pitch, roll, and yaw rotation as well as vertical motion).Finally, we will perform a systematic flight test program that will culminate in installation of bird diverters on a de-energized cable. Flight near energized power lines requires a novel state-estimation system. Existing state-estimation systems reference the earth's magnetic field and GPS for heading and position updates, respectively. Since both are unreliable near high-voltage transmission lines, a new sensor system and state-estimation strategy are required. This SBIR phase I research will integrate sensors to determine the drone's position and direction from a power line. Novel algorithms will be required for this unique sensor integration. We will develop a unique algorithm to reference surrounding objects for state estimation. Phase I research will develop this state-estimation system through a laboratory model and experiment. First, we will build out the proposed algorithm and test in on the computer in simulated flight. We will construct a laboratory apparatus that mimics a high-voltage power line to validate and refine our state-estimation strategy. In summary, our key efforts are: 1. Research developing a flight control system for a hybrid cyclorotor drone enabling contact with a cable. 2.Reserach developing a sensor package and algorithm to enable state estimation for a drone near an energized power cable.Our key evaluation studies/steps are: 1. Perform model evaluation of flight control algorithm for cable interaction. This includes generation of simulated flight data from model showing that control system and detect and respond to contact with a fixed cable in flight. 2. Perform test stand evaluation of flight control algorithm for cable interaction. This includes generation of experimental data from onboard sensors showing that drone responds acceptably to interaction with a fixed cable on a laboratory test stand. 3. Perform flight evaluation of flight control algorithm for cable interaction. This includes generation of experimental flight test data from onboard sensors showing drone responds acceptably to interaction with a fixed cable in flight. Additionaly a video will provide a qualitative analysis of this evaluation step alongside the quantitative flight test data. 4. Perform model evaluation of state estimation system sensor algorithm. This includes generation of data showing projected uncertainty of algorithm near simulated cable. 5. Perform experimental evaluation of state estimation system sensor algorithm. This includes generation of uncertainty data between the actual and estimated position of a sensor system near a simulated cable.