Bounded Interval Fuzzy Control for Half Vehicle’s Active Suspension System
Rami AL-Jarrah1, Hitham Tlilan2, Ayat Al-Jarrah3

1Rami AL-Jarrah, Mechanical Engineering Department, Hashemite University, PO. Box 330127, Zarqa 13133, Jordan.
2Hitham Tlilan, Mechanical Engineering Department, Hashemite University, PO.Box330127, Zarqa 13133, Jordan.
3Ayat Al-Jarrah, Mechatronics Engineering Department, Hashemite University, Zarqa, Jordan. 
Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 1625-1637 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4426098319/19©BEIESP | DOI: 10.35940/ijrte.C4426.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: IA novel efficient control scheme for an active vehicle suspension system is to be designed and simulated in this paper. A half car model has been designed and controlled using two different schemes of standard fuzzy control and bounded interval fuzzy control using MATLAB/SIMULINK. The bounded interval fuzzy control is designed to reduce the uncertainties in the fuzzy sets system and solve the non-linear control problem that the standard fuzzy control cannot handle it. It should be noted that fuzzy logic system is capable of dealing with imprecise concepts and numerous vague but the design of membership functions is nontrivial task. This is because of uncertainty degree that is caused due to road inputs profiles, fuzzy knowledge rules and immeasurable disturbance. The proposed method is expected to be able to mimic the heuristic knowledge of design the membership functions which depends on degree of uncertainty. The membership functions will be generated online during the process in order to deal with uncertainties. The simulation results have demonstrated that the proposed control exhibits better performance and stability as compared to standard fuzzy logic. In addition, the proposed scheme presents a preferable solution and balancing achievement between ride comfort and handling performance. These results demonstrated that the body accelerations and tire dynamic loads will be reduced for the vehicle suspension system in either automobiles or robotics suspension systems.
Keywords: Vibrations; Suspension System; Fuzzy Control; Degree of Uncertainty
Scope of the Article:
Fuzzy Logics