Intelligent Based Vibration Control towards the Improvement of Vehicle Ride Comfor
Sharifah Munawwarah1, Fitri Yakub2, Pauziah Muhammad3, Aminudin Hj Abu4, Zainudin A. Rasid5
1Sharifah Munawwarah, Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia.
2Fitri Yakub*, Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia.
3Pauziah Muhammad, Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia.
4Aminudin Hj Abu, Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia.
5Zainudin bin A.Rasid, Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 5172-5179 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6776018520/2020©BEIESP | DOI: 10.35940/ijrte.E6776.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The mechanism of vehicle suspension system is splitting the car body from the tire of the car. The suspension system is an important element in vehicle design because it effects the ride comfort and passenger’s safety. These two criteria are conflicting to each other. Therefore, this paper proposes an intelligent chassis control of quarter car active suspension system to enhance the vehicle ride comfort and road holding performance. The fuzzy logic control is designed to maximize the driving comfort by keeping the wheel always in contact with road surfaces. Several scenario has been created for analysis purposes. The performance of the fuzzy logic is compared with the PID control and LQR control method respectively. The novelty of this paper is, the ride comfort is measured up to higher derivative of motion. No significant literature was found on the higher derivative of motion such as jerking to improve the ride comfort. Based on the simulation results, Fuzzy logic outperforms the other two controllers on car body displacement, car body acceleration, wheel deflection and jerking with with higher percentage of improvement compare to PID control and passive suspension system.
Keywords: Ride Comfort, Active Suspension System, Quarter Car Model, Jerking, PID Control, LQR Control, FLC Control.
Scope of the Article: Control and Automation.