A Novel Adaptive and Nonlinear Electrohydraulic Active Suspension Control System with Zero Dynamic Tire Liftoff

Abstract

In this paper, a novel adaptive control system (NAC) is proposed for a restricted quarter-car electrohydraulic active suspension system. The main contribution of this NAC is its explicit tackling of the trade-off between passenger comfort/road holding and passenger comfort/suspension travel. Reducing suspension travel oscillations is another control target that was considered. Many researchers have developed control laws for constrained active suspension systems. However, most of the studies in the works of the latter have not directly examined the compromise between road holding, suspension travel, and passenger comfort. In this study, we proposed a novel adaptive control system to explicitly address the trade-off between passenger comfort and road holding, as well as the compromise between passenger comfort and suspension travel limits. The novelty of our control technique lies in its introduction of a modeling system for a dynamic landing tire system aimed at avoiding a dynamic tire liftoff. The proposed control consists of an adaptive neural networks’ backstepping control, coupled with a nonlinear control filter system aimed at tracking the output position of the nonlinear filter. The tracking control position is the difference between the sprung mass position and the output nonlinear filter signal. The results indicate that the novel adaptive control (NAC) can achieve the handling of car–road stability, ride comfort, and safe suspension travel compared to that of the other studies, demonstrating the controller's effectiveness.

An MPC-LQR-LPV Controller with Quadratic Stability Conditions for a Nonlinear Half-Car Active Suspension System with Electro-Hydraulic Actuators

“…where K LQR (ρ i ) is the LQR gain dependent on the scheduling parameters ρ i ∀i ∈ [1,4] and T is the terminal invariant set defined around the equilibrium point of the system. Figure 3 presents the block diagram for the proposed LPV-MPC-LQR control strategy for the half-car active suspension system.…”

“…In order to overcome the limitations of passive suspensions in harsh road conditions, active suspensions with electro-hydraulic actuators have been used to preserve comfort and road-holding conditions, while using a low voltage control signal as input. Research works on active suspensions using this kind of actuators have presented for quarter-car [1][2][3][4], halfcar [5][6][7] and full-car models [8][9][10]. While quarter-car models can be used to demonstrate the effect of the active suspension in the improvement of comfort and road-holding, other effects like pitch and jaw movements caused by a disturbance in one of the corners of a car can only be modeled by half and full-car models.…”

Adaptive neural network and nonlinear electrohydraulic active suspension control system

“…In conclusion, the ANNC system provides high control performance, as shown in Figure 13; however, it cannot address suspension travel limits, as shown in Figure 14, and cannot maintain road holding, which makes tire liftoff as shown in Figure 15. In Al Aela et al (2020), we have considered these restrictions of the active suspension system intensely in that study.…”

Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm

“…There is room to improve the control accuracy of PID controller [6,7] for nonlinear systems and the parameters are complicated to adjust. With the continuous development of the control discipline, many methods have emerged that can provide effective control of nonlinear systems, such as H∞ control [8], adaptive control [9], and adaptive robust control [10].…”