The following are the deliverables (using Matlab):
Develop the Kf_Braking script file (similar to Kf_Traction file that has been shared) to plot the deceleration vs. Kf curve. Here, the Kf indicates the front braking torque distribution factor. You need to submit this plot indicating the:
Kf_opt value (ensure it matches with the value from the analytical expression);
no slip, the rear wheel skid & front wheel skid regions.
(You are free to choose & coefficient of friction.)
Develop the Vehicle_Braking script file (similar to Vehicle_Traction file that has been shared).
Starting from rest, accelerate the vehicle to reach a speed of 30m/s by applying an appropriate T_in (the wheels shouldn’t slip)
Apply brakes after 5 seconds (the vehicle moves with a constant speed in this time span). Consider any T_app for any Kf < Kf_opt, Kf = Kf_opt & Kf > Kf_opt
T_app < T_opt
T_app = T_opt
T_opt < T_app < T_sat
T_app = T_sat
T_app > T_sat
Find out the values of the normal reactions, the braking forces, the deceleration & the stopping distance both analytically & virtually (simulation). Prepare a table & share it along with the Matlab screenshot of the display chart highlighting these values.The following are the deliverables (using Matlab):
Develop the Kf_Braking script file (similar to Kf_Traction file that has been shared) to plot the deceleration vs. Kf curve. Here, the Kf indicates the front braking torque distribution factor. You need to submit this plot indicating the:
Kf_opt value (ensure it matches with the value from the analytical expression);
no slip, the rear wheel skid & front wheel skid regions.
(You are free to choose & coefficient of friction.)
Develop the Vehicle_Braking script file (similar to Vehicle_Traction file that has been shared).
Starting from rest, accelerate the vehicle to reach a speed of 30m/s by applying an appropriate T_in (the wheels shouldn’t slip)
Apply brakes after 5 seconds (the vehicle moves with a constant speed in this time span). Consider any T_app for any Kf < Kf_opt, Kf = Kf_opt & Kf > Kf_opt
T_app < T_opt
T_app = T_opt
T_opt < T_app < T_sat
T_app = T_sat
T_app > T_sat
Find out the values of the normal reactions, the braking forces, the deceleration & the stopping distance both analytically & virtually (simulation). Prepare a table & share it along with the Matlab screenshot of the display chart highlighting these values. The following are the deliverables (using Matlab):
Develop the Kf_Braking script file (similar to Kf_Traction file that has been shared) to plot the deceleration vs. Kf curve. Here, the Kf indicates the front braking torque distribution factor. You need to submit this plot indicating the:
Kf_opt value (ensure it matches with the value from the analytical expression);
no slip, the rear wheel skid & front wheel skid regions.
(You are free to choose & coefficient of friction.)
Develop the Vehicle_Braking script file (similar to Vehicle_Traction file that has been shared).
Starting from rest, accelerate the vehicle to reach a speed of 30m/s by applying an appropriate T_in (the wheels shouldn’t slip)
Apply brakes after 5 seconds (the vehicle moves with a constant speed in this time span). Consider any T_app for any Kf < Kf_opt, Kf = Kf_opt & Kf > Kf_opt
T_app < T_opt
T_app = T_opt
T_opt < T_app < T_sat
T_app = T_sat
T_app > T_sat
Find out the values of the normal reactions, the braking forces, the deceleration & the stopping distance both analytically & virtually (simulation). Prepare a table & share it along with the Matlab screenshot of the display chart highlighting these values. matlab MATLAB Answers — New Questions

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