Problem Overview
We compute higher-order kinematic derivatives (velocity, acceleration, jerk) for the autonomous transit position profile:
s(t)=0.05t4−0.4t3+2.5t2
on
t∈[0,10] s.
Step-by-Step Mathematical Solution
Step 1: Compute Successive Derivatives
- Velocity v(t)=s′(t):
v(t)=0.05(4t3)−0.4(3t2)+2.5(2t)=0.2t3−1.2t2+5t
- Acceleration a(t)=s′′(t):
a(t)=0.2(3t2)−1.2(2t)+5(1)=0.6t2−2.4t+5
- Jerk j(t)=s′′′(t):
j(t)=0.6(2t)−2.4(1)+0=1.2t−2.4
Step 2: Evaluate Jerk at Specific Timestamps
- At t=2 s:
j(2)=1.2(2)−2.4=2.4−2.4=0 m/s3
- At t=6 s:
j(6)=1.2(6)−2.4=7.2−2.4=4.8 m/s3
Step 3: Verify Passenger Comfort Constraint (∣j(t)∣≤1.5)
The jerk function j(t)=1.2t−2.4 is a linear function on [0,10]:
- At t=0: j(0)=−2.4 m/s3⟹∣j(0)∣=2.4>1.5 (Fails constraint!)
- At t=10: j(10)=1.2(10)−2.4=9.6 m/s3⟹∣j(10)∣=9.6>1.5 (Fails constraint!)
Engineering Conclusion
Although velocity and acceleration appear smooth, the third derivative (jerk) reaches −2.4 m/s3 at startup and 9.6 m/s3 at t=10 s, substantially exceeding the 1.5 m/s3 passenger comfort threshold. The controls engineer must redesign the position profile with a higher-order polynomial (quintic spline) to clamp jerk to acceptable bounds and eliminate passenger whiplash.