- mix of quantitative experimental parameters and qualitative observations
- perhaps it doesn't really make sense to compare these sets of values (perhaps we should dinstinguish more roughly - "not standing at all", "barely standing", "standing")
We decided to finish up the experiments (long) before having tried all possible combinations of parameters values, as it seemed pointless to go on when seeing no significant improvements to the robot's behaviour - continuing would not improve on our understanding of the effects of the different PID parameters further.
We decided to finish up the experiments (long) before having tried all possible combinations of parameters values, as it seemed pointless to go on when seeing no significant improvements to the robot's behaviour - continuing would not improve on our understanding of the effects of the different PID parameters further. However, the parameter search inspired by grid search did provide us with a more structured insight into the effects of the different parameters than had we just tried varying each parameter on a whim.
### Self balancing robot with color sensor
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@@ -258,6 +255,7 @@ We would have attempted to amend the inaccurate angle calculation and then use t
## Conclusion
(SKRIV OM MERE UD FRA LIGHT OG GYRO)
Testing the parameters in a way inspired by grid search provided us with a structured approach to investigating how the different paramters influence each other. Althugh limited time forced us to move on before fully completing an actual grid search, we did obtain some insights into the effect of the parameters on the robot's responsiveness to the light sensor.
We observed that changes in the angle reflected less strongly in the readings of the color sensor than in those of the light sensor. Our test of this underlined the necessity of interleaving qualitative assessments with quantitative measurements, due to the difficulty of conducting isolated experiments - many different factors influence the results and can sometimes be hard to take into account.
