Imagine you find yourself in an elevator with someone you know has the money and time to help start your new business. You’ve only seconds to make your pitch, hoping to pique their interest enough to get a real presentation opportunity. This is the “elevator pitch” concept. People spend months refining their speeches and there are even high value competitions for these short bits of business-poetry. What follows isn’t really poetry or even short, but was meant to start that journey. Hopefully it will help explain our project.
Short Description
We’re build and flying a TubeSat-style satellite to test new effects on ion engine performance and power requirements.
Introduction
Ion engines are fantastically fuel efficient but their thrust is too low for general use. By finding ways to increase thrust and lower power consumption, ion engines can be used for more mission profiles. This is especially important when fueling a craft from expensive local resources such as on a lunar base.
Three new effects on ion engine performance will be tested by FRETS1 – my TubeSat-style satellite flying in early 2012.
The experiment tests three techniques: one to increase thrust density beyond the traditional Child-Langmuir limit, another to reduce plasma formation power requirements, and one to reduce exhaust neutralization power requirements.
Supporting the experiment is an adaptive machine learning algorithm that maximizes the impact of the effects and adjusts alignment of internal parts to compensate for thermal effects and unwanted internal ablation.
A few details
Extracting charge from a plasma is governed by space-charge limits. In a low density plasma, the limit is described by the Child-Langmuir law:

where:
- j is the current density (A/m^2)
- e0 is the permittivity of free space (F/m)
- e is the charge of a single electron or singly charged ion (C)
- M is the mass of a single charge carrying electron or ion (kg)
- V is the voltage drop across the extraction region (Volts)
- d is the distance across the extraction region (m)
An ion engine’s Isp is also set by its voltage:

where:
- Isp is the specific impulse (seconds)
- v is the exhaust velocity (m/s)
- g is earth gravitational acceleration (9.81 m/s/s)
- e is the charge of a single electron or singly charged ion (C)
- M is the mass of a single charge carrying electron or ion (kg)
- V is the voltage drop across the extraction region (Volts)
Work by others on laser/plasma fusion has shed light on how to decouple these, raising the current density, and therefore the thrust density, without altering Isp. Researchers have shown 1,000x the Child-Langmuir flow rates in lab conditions.
Adapting this work to ion propulsion and scaling it to realistic power requirements is a goal of this project.
Project Steps
The major steps needed, some of which are already well underway, are:
- Initial concepts
- Project feasibility
- Market feasibility
- R&D of Effects and Systems
- 2 near-space balloon launches to test equipment
- Flight and Ground operations
Challenges Ahead
Power and mass. Both are extremely limited on the TubeSat platform. Mission obstacles stem from these two:
- High power is needed to affect the engine’s plasma. TubeSats have extremely little power available. Possible solution: rapid discharge capacitors to produce pulses.
- Holding mechanical alignment over temperature extremes and launch vibration could require massive supports. Possible solution: piezo-electric positioning tied to the core learning algorithm.
- Fuel consists of compressed gas. Managing the flow of the expanding gas requires massive parts. Lowering the gas pressure makes the issue easier but reduces the amount of fuel available. Further research is needed, likely by continuing work with the model engineering community, especially those building working miniature steam engines.
More Help Needed
Advice and information is needed in at least these areas:
- Market information on forecasted use of low thrust engines.
- Thrust stand design.
- Financial sources for a second, larger version.
- Vibration dampening and testing.
- Resources for micro-machining of gas flow channels.
- Data on response of various sensors in the LEO environment.