Modelling And Clamping Force Control Of Electronic Wedge Brake

Mohd Shaukili, Muhamad Amirullah (2021) Modelling And Clamping Force Control Of Electronic Wedge Brake. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This thesis presents an investigation the performance of fixed caliper based electronic wedge brake (FIXEWB) in vehicle braking system. Two techniques were used as an assessment method, which are simulation via Matlab Simulink software and experimental study through hardware-in-the-loop-simulation (HILS). In the simulation study, the vehicle braking system was simulated by using a validated quarter vehicle traction model with a validated FIXEWB model as the brake actuator. Proportional-integral-derivative was utilized as the brake torque control, whereas proportional-integral and proportional controllers were used as the position and speed control of the actuator respectively. To study the effectiveness of the FIXEWB, the response of the vehicle using FIXEWB is compared with the responses of the vehicle using conventional hydraulic brake. A dynamic test namely sudden braking at constants speed was then used as the testing method. The simulation results show that the usage of FIXEWB with an appropriate control strategy produces similar behavior as hydraulic brake in terms of the produced desired braking torque but with faster the time response. To study the performance of FIXEWB when implement on a real vehicle, an experimental rig using HILS was designed and the results are analyzed using the same dynamic tests. The performances evaluated are vehicle body speed, wheel speed, tire longitudinal slip, and the stopping distance experience by the vehicle. An antilock braking system control strategy namely adaptive fuzzy fractional gain PID (AFFPID) with active learning rate (ALR) controller was than developed. In presented scheme the result verifies improved performance of the proposed control structure during braking maneuvers compared to the passive braking system. It is also noted that the additional active learning rate to the controller is able to further improve the performance of the adaptive fuzzy for the system. The effectiveness of the proposed control algorithm on a real vehicle was also observed through hardware-in-the-loop simulation. Finally, potential benefits in the use of this control and the FIXEWB are investigated. The result of the study demonstrates the potential benefits of the AFFPID with ALR controller as the ABS control system and the capability of the FIXEWB as the brake actuator.

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