Created
April 14, 2020 20:55
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| class ThrustLinearization: | |
| def __init__(self, thrust_linear): | |
| self.thrustLinearization = thrust_linear / 100.0 | |
| if self.thrustLinearization != 0.0: | |
| self.thrustLinearizationReciprocal = 1.0 / self.thrustLinearization | |
| self.thrustLinearizationB = (1.0 - self.thrustLinearization) / (2.0 * self.thrustLinearization) | |
| def applyThrustLinearization(self, motorOutput): | |
| if self.thrustLinearization != 0.0: | |
| #if motorOutput > 0.0: | |
| motorOutput = np.sqrt(motorOutput * self.thrustLinearizationReciprocal + | |
| self.thrustLinearizationB * self.thrustLinearizationB) - self.thrustLinearizationB | |
| return motorOutput; | |
| def pidCompensateThrustLinearization(self, throttle): | |
| if self.thrustLinearization != 0.0: | |
| throttle = throttle * (throttle * thrustLinearization + 1.0 - thrustLinearization) | |
| return throttle; | |
| def showPlot(self): | |
| x = np.arange(0, 1.0, 0.01) | |
| y = self.applyThrustLinearization(x) | |
| #y = self.pidCompensateThrustLinearization(y) | |
| plt.plot(x,y, label=f'{self.thrustLinearization}') | |
| plt.legend() |
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