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Improvement of flywheel velocity and acceleration algorithm 

Improvement of the algorithm used for the flywheel speed and acceleration, which makes it less errorprone  and more smooth.
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Jaap van Ekris 2024-01-09 21:11:13 +01:00 committed by GitHub
parent e0aabf4431
commit 0e6de1636b
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1 changed files with 10 additions and 8 deletions
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18
app/engine/Flywheel.js
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@ -22,9 +22,10 @@
import loglevel from 'loglevel'
import { createStreamFilter } from './utils/StreamFilter.js'
import { createLabelledBinarySearchTree } from './utils/BinarySearchTree.js'
import { createOLSLinearSeries } from './utils/OLSLinearSeries.js'
import { createTSQuadraticSeries } from './utils/FullTSQuadraticSeries.js'
import { createWeighedSeries } from './utils/WeighedSeries.js'
const log = loglevel.getLogger('RowingEngine')
function createFlywheel (rowerSettings) {
@ -116,19 +117,20 @@ function createFlywheel (rowerSettings) {
}
// Let's make room for a new set of values for angular velocity and acceleration
_angularVelocityMatrix[_angularVelocityMatrix.length] = createLabelledBinarySearchTree()
_angularAccelerationMatrix[_angularAccelerationMatrix.length] = createLabelledBinarySearchTree()
_angularVelocityMatrix[_angularVelocityMatrix.length] = createWeighedSeries()
_angularAccelerationMatrix[_angularAccelerationMatrix.length] = createWeighedSeries()
let i = 0
const goodnessOfFit = _angularDistance.goodnessOfFit()
while (i < _angularVelocityMatrix.length) {
// Please note, the label used in the Binary Search Tree has no meaning, as we will not do any targetted remove actions
_angularVelocityMatrix[i].push(i, _angularDistance.firstDerivativeAtPosition(i))
_angularAccelerationMatrix[i].push(i, _angularDistance.secondDerivativeAtPosition(i))
_angularVelocityMatrix[i].push(_angularDistance.firstDerivativeAtPosition(i), goodnessOfFit)
_angularAccelerationMatrix[i].push(_angularDistance.secondDerivativeAtPosition(i), goodnessOfFit)
i++
}
_angularVelocityAtBeginFlank = _angularVelocityMatrix[0].median()
_angularAccelerationAtBeginFlank = _angularAccelerationMatrix[0].median()
_angularVelocityAtBeginFlank = _angularVelocityMatrix[0].weighedAverage()
_angularAccelerationAtBeginFlank = _angularAccelerationMatrix[0].weighedAverage()
// And finally calculate the torque
_torqueAtBeginFlank = (rowerSettings.flywheelInertia * _angularAccelerationAtBeginFlank + drag.clean() * Math.pow(_angularVelocityAtBeginFlank, 2))