E80 Spring 2016

Flight Basics

Resources

A PDF of the 2016 lecture is found here. The original .pptx is here. The streaming video of the lecture may eventually be here. In the meantime, log on to Sakai, go to the HM ENGR80.X 2016 tab (where X is your section number, 1,2,3, or 4), click on the MediaSite link in the left navigation bar, if necessary click on the press here to launch link, and then watch the E80 - 2016S - Rm. Recital Hall_1/19/2016 video.

A PDF of the 2015 lecture is found here. The original .pptx is here. The streaming video of the lecture is here.

A PDF of the 2014 lecture is found here. The original .pptx is here.

A PDF of the 2013 lecture is found here.

A PDF of the 2012 lecture is found here.

Rocket Basics

The FAA has three classes of amateur rockets:

  1. Class 1 - a model rocket that uses no more than 125 grams (4.4 ounces) of propellant; uses a slow-burning propellant; is made of paper, wood, or breakable plastic; contains no substantial metal parts; and weighs no more than 1,500 grams (53 ounces) including the propellant – Requires permission of the Fire Department and the property owner.
  2. Class 2 – a high power rocket, other than a model rocket, that is propelled by a motor or motors having a combined total impulse of 40,960 Newton-seconds (9,208 pound-seconds) or less – Requires permission of FAA, Fire Department, and property owner. Operator must also be TRA or NAR certified.
  3. Class 3 – an advanced high power rocket, other than a model rocket or high-power rocket – Has lots of regulatory restrictions.

Rockets flown in California require either State Fire Marshall certified motors or a bunch of permits.

Safety codes for Class 1 can be found here. Safety codes for Class 2 can be found here and here.

Modeling and Measurement of Rocket Performance

If mass change is small

                                                       

A software package such as Rocksim has models for the mass, thrust, and drag, and integrates Newton’s second law.

                                                      

If you have data (say from an altimeter) you can get velocity and acceleration by numerically differentiating.

                                                                  

                                                         

How do you take numerical derivatives? The straightforward method is known as finite difference. There are two types, forward and backward. For a set of data points

Forward Difference

                                                                  

Backward Difference

                                                                  

If the sample rate is constant the denominator can be replaced with .

However, numerical derivatives amplify noise. There are a number of methods for removing noise from numerical derivatives. Two common ones are to:

There are others.

Because numerically integrating reduces noise (but is sensitive to drift) inertial measurement systems integrate accelerometers, rather than differentiate position data. The best method uses a Kalman Filter and uses data from acceleration, velocity, and position measurements.

Altimeter

A pressure-based altimeter measures the local absolute pressure and uses a model for how the atmospheric pressure varies with altitude to calculate the altitude. See details here. We are only interested in the expression from 0 km to 11 km in altitude. If your rocket manages to fly higher than 11 km we will be in big trouble with the FAA.

Inclinometer and Theodolite

An alternate method for measuring altitude is with one or more inclinometers or theodolites.

An inclinometer measures angles relative to the horizontal. A theodolite measures angles relative to both the horizontal and some baseline. The method for using one inclinometer is explained here. A method for using two theodolites is explained here and in much more detail here. Since it is unlikely that two projected lines would actually intersect, one can also project two lines in 3-space and calculate the two points on the lines where they are nearest each other. The basic equations are found here. A Mathematica notebook of the derivation is found here.

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