Design a new control algorithm AFSP (Adaptive Fuzzy – Sliding Mode – Proportional – Integral) for automotive suspension system

Abstract

When a vehicle is driving, the most significant source of oscillations is the irregularities in the surface of the road. An active suspension is utilized to enhance the vehicle’s stability and ride comfort. In this work, the dynamic model with multi variables is considered to simulate vehicle oscillations based on four excitation cases from the road surface. In addition, this research also established the AFSP complex control solution for an active suspension system. This is a completely novel algorithm with many outstanding advantages. The final control signal of the system is synthesized from the signals of the linear controller PI (Proportional – Integral) and the nonlinear controller SMC (Sliding Mode Control). The controller’s parameters will change continuously depending on the established fuzzy rule. According to simulation outcomes, the vehicle body displacement and acceleration dramatically declined when the AFSP algorithm directed an active suspension. The values of acceleration and displacement do not exceed 80% and 20%, compared to the scenario in which the vehicle just utilized the typical passive suspension system. Besides, a phenomenon of “chattering” also does not appear when combining the controllers. Overall, the efficiency of this algorithm is high. This algorithm can be applied to more complex models.

Application of hybrid control algorithm on the vehicle active suspension system to reduce vibrations

“…To simplify the problem, a linear sliding surface ( 8) is often used. 43 s e ð Þ = q 0 e + q 1 de dt + q 2 d 2 e dt 2 :::…”

Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension

“…This technique employs adjustable dampers to alter the damping forces of the suspension system, hence influencing the stiffness and damping characteristics of the vehicle's suspension. [1][2][3] When comparing active suspensions to semi-active suspensions, it is seen that the latter share a structural similarity to passive suspensions. This similarity is characterized by a relative simplicity.…”

Improving stability and adaptability of automotive electric steering systems based on a novel optimal integrated algorithm

“…(2023b). SMC algorithm can be combined with several other algorithms to improve the control performance, such as fuzzy-SMC (Mehmood et al ., 2021; Nguyen, 2023b), backstepping-SMC (Afifa et al ., 2023), and fuzzy ANN-SMC (Lin et al ., 2014). Some other nonlinear control algorithms, such as MPC (Milla et al ., 2014; Murilo et al ., 2019), ADRC (Zheng and Wei, 2023), or nonlinear hybrid (Jeong et al ., 2020) have also applied to EPS systems.…”