Applied Flight Test Engineering Course Series
Online Courses to Enhance Your Flight Test Engineering Education
Two taxiways diverged in a wood, and I—
Adapted from Robert Frost,
I took the one less traveled by,
And that has made all the difference.
The Road Not Taken
Overview
Our Applied Flight Test Engineering Course Series focuses on teaching practical aspects of flight testing with lots of coding in Python and simulated test flights. It is intended for flight test engineers and test pilots alike. In fact, due to its high demands in both programming and flight test execution, you may consider taking this course series as a flight test engineer and test pilot course work sharing pair. You will develop flight test data analysis codes and write an Automatic Flight Control System (AFCS), which you will then evaluate in flight test in a flight simulator, as well as use it to assist you in conducting non-AFCS flight tests.
Course Content Roadmap
Part 1: Flight Test Engineering Code Development in Python
In Part 1, you will first hone your general Python programming skills and broaden your horizons by applying Python to a variety of flight test engineering related topics.
Then you will write codes which will implement some of the underlying flight test engineering methods and concepts, for instance, code which reproduces the plot on the right.
This set of codes will form the basis for codes you will develop afterwards to perform flight test data analysis, data reduction after flight test and data expansion for aircraft flight manuals.
Part 2: Interactive Flight Simulator Interface and Real Time Telemetry Display
The next major topic to tackle in this applied flight test engineering course series will be to prepare you to work with flight simulations in real time.
You will learn how to establish real-time two-way communications between your Python codes and the commercial flight simulator software X-Plane, using the X-Plane Connect (XPC) Toolbox developed by NASA. And you’ll get your Python codes to accept inputs from a joystick attached to your computer.
In addition, you will develop the ability to display data numerically and graphically in real time with your Python codes, by writing your very own IADS-like flight test data display software (unless you want to purchase a commercially available one).
Developing this ability is crucial for you to be able to conduct realistic simulated flight tests in X-Plane and control the aircraft with your own codes as well as with a joystick.
Part 3: Applications of Control Theory
The modern flight control systems lectures at your test pilot school may have primarily consisted of control theory development and conceptual understanding, such as illustrated in the Bode plot above. In our applied flight test engineering course series you will learn hands-on how to implement basic control algorithms such as the proportional-integral-derivative (PID) controller illustrated on the right, practice tuning them, and run them to control simple model physical systems. At your own discretion, you may take this further, dive into nonlinear dynamic inversion (NDI) (external link to a document by an unknown author) and even implement model predictive control (MPC). In the end, you will have assembled all the pieces together to write your own basic Automatic Flight Control System (AFCS) for an aircraft (no attempt will be made to make any software DO-178C compliant).
The AFCS will also need to be supplied with sensor data from different sensors, which is an inherently noisy affair. Therefore, you will learn how to use different versions of Kalman filters and sensor fusion to average out the noise and combine the measurements into an attitude and position estimate.
Part 4: Automatic Flight Control System (AFCS) and Flight Test Conduct
Armed with the above developed knowledge and skills, in the final part of our Applied Flight Test Engineering Course Series you will proceed to write your own AFCS code for either a fixed wing or a rotary wing aircraft, and flight test it formally in X-Plane. To this end, you will write flight test plans, perform flight test techniques (autonomously and handflown), collect flight test data, analyze the data, and generate flight test reports.
The AFCS will serve two primary objectives: a) to collect flight test data autonomously, in a cleaner fashion than a test pilot would manually, b) to improve the closed loop handling qualities (CLHQ) of the simulated aircraft with the pilot in the loop.
The flight test data collection assistance function is a standard feature present in many modern fly-by-wire systems. The AFCS is programmed to execute the flight test techniques autonomously and thus more repeatably, and the actual flight test data is then collected with the AFCS on or off, as desired.
The handling qualities study will prompt you to write the AFCS in a way that it makes the aircraft easier to fly for a pilot. This will expose you to subjective handling qualities assessments by the test pilot, which is a very important part of flight test, going beyond mere quantitative data collection and analysis to satisfy regulatory requirements. (Note that you will also have to define a mission for your aircraft, against which the CLHQ assessments are to be made—preferably one that you are intimately familiar with, if you are also the test pilot.)
Courses
We package the above ambitious roadmap into three separate flight test courses, which are intended to be taken consecutively.
Data Science and Computer Programming in Python for Pilots and Flight Test Engineers
This introductory course covers the first half of Part 1 of the above roadmap and forms the foundation of your Python programming skills for data analysis purposes. It is the computer programming equivalent of a Pre-TPS course, developing your Python coding skills.
Flight Test Engineering in Python
This Python flight test engineering course covers the second half of Part 1, as well as Parts 2 and 3 of the above roadmap. You will implement flight test engineering calculations and data analysis codes in Python, connect Python to X-Plane and to a joystick, write your own flight test telemetry display software, and learn the basics of how to code a simple AFCS.
Capstone Project
This course covers Part 4 of the above roadmap. During your capstone project, you will apply the programming skills and flight test engineering and control theory knowledge you developed in the previous two courses to write an AFCS in Python for an aircraft of your choice (fixed wing or rotary wing), plan a series of flight tests, conduct the flight tests in X-Plane, collect flight test data and analyze them, and write flight test reports.