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Point it where you want it.

Telling a spacecraft where to point is easy. Getting it there is the hard part, and it is the controller that does the work. Your team will run the same manoeuvre with two different controllers and find out what a more accurate one actually costs.

A stronger controller points more accurately. What does that cost the spacecraft?

Learning outcomes · University

What you should be able to do, and the evidence that shows it.

  • 01By the end of this mission, the learner will be able to design a traceable comparison that isolates controller tuning from every other variable, and demonstrate this by stating which variables were held constant.
  • 02By the end of this mission, the learner will be able to assess what this deterministic teaching kernel establishes about control performance and what it withholds, and demonstrate this by classifying the channels correctly.
  • 03By the end of this mission, the learner will be able to validate the limits of applying this tuning result to a flight controller, and demonstrate this by stating the qualification evidence that would still be required.

Before we start

A quick check of what you already know. There is no score.

A spacecraft is told to point at a new target. What has to happen?

The idea behind the mission

Two runs, one difference: the controller. Same spacecraft, same starting position, same limit on how hard the wheels can push.

Accuracy is bought, not free

A controller that corrects harder gets closer to the target, but it has to turn the spacecraft faster and push the reaction wheels harder to do it. Wheels have limits. When one runs out of authority it cannot help any more, however much the controller asks.

Three responses to the same command: overshooting, settling and sluggish.Three curves start at the same place and head towards the same target line. One swings past the target repeatedly before settling. One approaches smoothly and stops. One creeps towards it slowly and takes much longer to arrive.TARGETToo littleAbout rightToo much

Predict before you run

Before you run anything: which controller will finish closer to the target, and why?

Which controller will finish closer to the target, and why?

At least 20 characters — say what you expect and why.

Configure the mission

These are the two set-ups you will compare. They are fixed on purpose: if only one thing differs between your runs, anything that changes was caused by it.

Baseline case

Weak controller

Candidate case

Tuned controller

  • Write your prediction first.
  • Change nothing except the controller.
  • These results come from a model, not from a real spacecraft.

Units stay attached to every result: angles in degrees (°), time in seconds (s), power in watts (W), energy in watt-hours (Wh), battery state in percent (%), and elevation in degrees (°) where available.

Run the Digital Twin

Run the weak controller first, then the tuned one. Nothing else changes.

Baseline

Weak controller

Candidate

Tuned controller

Run the baseline first so you have something to compare against.

Read the evidence

Read both charts. The first is the job being done; the second is what it cost.

Run the Twin to produce evidence.

Make the engineering decision

Which controller would you fly, and which number in your evidence decided it?

Which controller do you recommend, and what evidence supports it?

What this does not prove

What this mission shows

  • My prediction
  • The controller comparison for the two runs
  • Where each number came from
  • One thing this model does not cover

What it does not establish

  • These results are produced by a model. Nothing here was measured on a real spacecraft.
  • The disturbances and reference directions are controlled teaching values, not an orbit-derived environment.
  • This lesson does not show that any controller is ready to fly.

Name one thing this model does not tell you about a real control system.

Show what you understood

Formative feedback for you and your teacher. There is no official grade.

The stronger controller pointed far more accurately. What did that cost?

Which number tells you how well the controller did its job?

Which controller would you fly, and which number decided it?

Name one thing this model does not tell you about a real control system.

Revisit the mission evidence

Revisit the mission evidence

Formative · not an official grade

No formative evidence has been recorded yet.

Next: Write your prediction, run both set-ups, then pick the evidence that supports your answer.

Formative guidance only. Official grade: none. A teacher still reviews your written reasoning.