Active Control of the Bounce and Roll of a Suspension System Using Optimal and Fuzzy ‎Approaches

sheykhi kish khale, Ali; Tourajizadeh, Hami

doi:10.22068/ase.2025.716

Volume 15, Issue 4 (12-2025) ASE 2025, 15(4): 4855-4863 | Back to browse issues page

‎ 10.22068/ase.2025.716

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sheykhi kish khale A, Tourajizadeh H. Active Control of the Bounce and Roll of a Suspension System Using Optimal and Fuzzy ‎Approaches. ASE 2025; 15 (4) :4855-4863
URL: http://ase.iust.ac.ir/article-1-716-en.html

Active Control of the Bounce and Roll of a Suspension System Using Optimal and Fuzzy ‎Approaches

Ali Sheykhi kish khale

, Hami Tourajizadeh

Kharazmi University

Abstract: (709 Views)

Conventional suspension systems exhibit performance limitations when encountering road irregularities and specific surface profiles, often failing to attenuate road-induced disturbances effectively. This functional deficiency reduces ride comfort and compromises vehicle dynamic stability under various driving conditions. In contrast, active suspension systems, utilizing hydraulic or pneumatic actuators in combination with feedback control strategies, have demonstrated a significant potential for disturbance suppression and considerable improvement in ride comfort and vehicle stability. Previous studies have identified that vertical (bounce) and rotational (roll) motions are among the primary factors influencing passenger comfort and vehicle stability in dynamic scenarios. Therefore, controlling these motions is essential to enhance ride quality and handling performance. In this study, a half-car dynamic model equipped with an active suspension system is developed, focusing on controlling bounce and roll motions. All modeling and simulation tasks are conducted within the MATLAB environment, where two control strategies fuzzy control and optimal control are designed and implemented for the active suspension system. Finally, the dynamic performance of these two approaches is compared and analyzed. The simulation results indicate that the optimal control strategy outperforms the fuzzy control method regarding disturbance rejection and overall ride comfort and vehicle stability improvement.

Keywords: Suspension system, Roll control, ‎ Bounce control, ‎ Fuzzy controller, ‎ LQR

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Type of Study: Research | Subject: Control