You can not select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
					
					
						
							99 lines
						
					
					
						
							2.4 KiB
						
					
					
				
			
		
		
	
	
							99 lines
						
					
					
						
							2.4 KiB
						
					
					
				| import numpy as np
 | |
| 
 | |
| 
 | |
| def get_delta_out_limits(aEgo, aMax, aMin, jMax, jMin):
 | |
| 
 | |
|   tDelta = 0.
 | |
|   if aEgo > aMax:
 | |
|     tDelta = (aMax - aEgo) / jMin
 | |
|   elif aEgo < aMin:
 | |
|     tDelta = (aMin - aEgo) / jMax
 | |
| 
 | |
|   return tDelta
 | |
| 
 | |
| 
 | |
| def speed_smoother(vEgo, aEgo, vT, aMax, aMin, jMax, jMin, ts):
 | |
| 
 | |
|   dV = vT - vEgo
 | |
| 
 | |
|   # recover quickly if dV is positive and aEgo is negative or viceversa
 | |
|   if dV > 0. and aEgo < 0.:
 | |
|     jMax *= 3.
 | |
|   elif dV < 0. and aEgo > 0.:
 | |
|     jMin *= 3.
 | |
| 
 | |
|   tDelta = get_delta_out_limits(aEgo, aMax, aMin, jMax, jMin)
 | |
| 
 | |
|   if (ts <= tDelta):
 | |
|     if (aEgo < aMin):
 | |
|       vEgo += ts * aEgo + 0.5 * ts**2 * jMax
 | |
|       aEgo += ts * jMax
 | |
|       return vEgo, aEgo
 | |
|     elif (aEgo > aMax):
 | |
|       vEgo += ts * aEgo + 0.5 * ts**2 * jMin
 | |
|       aEgo += ts * jMin
 | |
|       return vEgo, aEgo
 | |
| 
 | |
|   if aEgo > aMax:
 | |
|     dV -= 0.5 * (aMax**2 - aEgo**2) / jMin
 | |
|     vEgo += 0.5 * (aMax**2 - aEgo**2) / jMin
 | |
|     aEgo += tDelta * jMin
 | |
|   elif aEgo < aMin:
 | |
|     dV -= 0.5 * (aMin**2 - aEgo**2) / jMax
 | |
|     vEgo += 0.5 * (aMin**2 - aEgo**2) / jMax
 | |
|     aEgo += tDelta * jMax
 | |
| 
 | |
|   ts -= tDelta
 | |
| 
 | |
|   jLim = jMin if aEgo >= 0 else jMax
 | |
|   # if we reduce the accel to zero immediately, how much delta speed we generate?
 | |
|   dv_min_shift = - 0.5 * aEgo**2 / jLim
 | |
| 
 | |
|   # flip signs so we can consider only one case
 | |
|   flipped = False
 | |
|   if dV < dv_min_shift:
 | |
|     flipped = True
 | |
|     dV *= -1
 | |
|     vEgo *= -1
 | |
|     aEgo *= -1
 | |
|     aMax = -aMin
 | |
|     jMaxcopy = -jMin
 | |
|     jMin = -jMax
 | |
|     jMax = jMaxcopy
 | |
| 
 | |
|   # small addition needed to avoid numerical issues with sqrt of ~zero
 | |
|   aPeak = np.sqrt((0.5 * aEgo**2 / jMax + dV + 1e-9) / (0.5 / jMax - 0.5 / jMin))
 | |
| 
 | |
|   if aPeak > aMax:
 | |
|     aPeak = aMax
 | |
|     t1 = (aPeak - aEgo) / jMax
 | |
|     if aPeak <= 0: # there is no solution, so stop after t1
 | |
|       t2 = t1 + ts + 1e-9
 | |
|       t3 = t2
 | |
|     else:
 | |
|       vChange = dV - 0.5 * (aPeak**2 - aEgo**2) / jMax + 0.5 * aPeak**2 / jMin
 | |
|       if vChange < aPeak * ts:
 | |
|         t2 = t1 + vChange / aPeak
 | |
|       else:
 | |
|         t2 = t1 + ts
 | |
|       t3 = t2 - aPeak / jMin
 | |
|   else:
 | |
|     t1 = (aPeak - aEgo) / jMax
 | |
|     t2 = t1
 | |
|     t3 = t2 - aPeak / jMin
 | |
| 
 | |
|   dt1 = min(ts, t1)
 | |
|   dt2 = max(min(ts, t2) - t1, 0.)
 | |
|   dt3 = max(min(ts, t3) - t2, 0.)
 | |
| 
 | |
|   if ts > t3:
 | |
|     vEgo += dV
 | |
|     aEgo = 0.
 | |
|   else:
 | |
|     vEgo += aEgo * dt1 + 0.5 * dt1**2 * jMax + aPeak * dt2 + aPeak * dt3 + 0.5 * dt3**2 * jMin
 | |
|     aEgo += jMax * dt1 + dt3 * jMin
 | |
| 
 | |
|   vEgo *= -1 if flipped else 1
 | |
|   aEgo *= -1 if flipped else 1
 | |
| 
 | |
|   return float(vEgo), float(aEgo)
 | |
| 
 |