scholarly journals Master–Slave Control for Active Suspension Systems With Hydraulic Actuator Dynamics

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3612-3621 ◽  
Author(s):  
Xiaoyu Su
Keyword(s):  
Active Suspension ◽  
Hydraulic Actuator ◽  
Actuator Dynamics ◽  
Suspension Systems ◽  
Active Suspension Systems

Model Based Actuator Management for a Hydraulic Active Suspension System: Improving Comfort Performance by Advanced Control

2011 ◽  
Author(s):  
Stijn De Bruyne ◽  
Jan Anthonis ◽  
Marco Gubitosa ◽  
Herman Van der Auweraer ◽  
Wim Desmet ◽  
...  
Keyword(s):  
Simulation Analysis ◽  
Active Suspension ◽  
Suspension System ◽  
Actuator Dynamics ◽  
Handling Performance ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Advanced Control ◽  
Performance Map ◽  
Force Tracking

Active suspension systems aim at increasing safety by improving vehicle ride and handling performance while ensuring superior passenger comfort. This paper addresses the influence of the actuator management on the comfort performance of a complete hydraulic active suspension system. An innovative approach, based on nonlinear Model Predictive Control, is proposed and compared to a classical approach that employs a steady-state performance map of the actuator. A simulation analysis shows how taking into account actuator dynamics improves the actuator’s force tracking performance, leading to an improvement of the overall vehicle comfort performance.

scholarly journals Dual adaptive robust control for uncertain nonlinear active suspension systems actuated by asymmetric electrohydraulic actuators

2020 ◽  
pp. 146134842092711
Author(s):  
Dingxuan Zhao ◽  
Miaomiao Du ◽  
Tao Ni ◽  
Mingde Gong ◽  
Lizhe Ma
Keyword(s):  
Active Suspension ◽  
Hydraulic Cylinder ◽  
Suspension System ◽  
Loop System ◽  
Control Law ◽  
Actuator Dynamics ◽  
Suspension Systems ◽  
Main Loop ◽  
Active Suspension Systems ◽  
Electrohydraulic Actuator

This study investigates the vibration control issue of active suspension systems. Unlike previous results that neglect the actuator dynamics or consider the impractical symmetrical hydraulic cylinder model, this paper incorporates more reasonable asymmetric electrohydraulic actuator into active suspension system and derives its dynamic model. However, whether active suspension or electrohydraulic actuator suffers from nonlinearities (e.g. nonlinear spring, nonlinear damper and nonlinear actuator dynamics) and parameters uncertainties (e.g. the variations of sprung mass and hydraulic fluid’s bulk modulus as well as hydraulic cylinder original control volumes) , which were rarely synthetically considered in the existing researches.To address these issues, we develop a novel dual adaptive robust controller (ARC). An ARC is firstly designed for main-loop system for stabilizing the car body and improving ride comfort in the presence of nonlinearities and parameter uncertainties as well as road disturbances. In order to meet the constraints requirements of suspension system, the tunable parameters in main-loop control law are optimized by solving linear matrix inequality with kidney-inspired algorithm. Another ARC is further synthesized for sub-loop system to deal with the nonlinear and uncertain dynamics in electrohydraulic actuator for ensuring the force tracking performance. Meanwhile, the uncertain parameters are estimated online to compensate the model deviation. The terminal control law is able to guarantee the asymptotic stability of close-loop system within Lyapunov framework. Finally, the effectiveness and robustness of the proposed controller are demonstrated via excessive simulation experiments over different road conditions.

Application of Constrained H∞ Control to Active Suspension Systems on Half-Car Models

2004 ◽  
Vol 127 (3) ◽  
pp. 345-354 ◽  
Author(s):  
H. Chen ◽  
Z. -Y. Liu ◽  
P. -Y. Sun
Keyword(s):  
Ride Comfort ◽  
Active Suspension ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Actuator Dynamics ◽  
Lmi Optimization ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Hard Constraints ◽  
And Control

This paper formulates the active suspension control problem as disturbance attenuation problem with output and control constraints. The H∞ performance is used to measure ride comfort such that more general road disturbances can be considered, while time-domain hard constraints are captured using the concept of reachable sets and state-space ellipsoids. Hence, conflicting requirements are specified separately and handled in a nature way. In the framework of Linear Matrix Inequality (LMI) optimization, constrained H∞ active suspensions are designed on half-car models with and without considering actuator dynamics. Analysis and simulation results show a promising improvement on ride comfort, while keeping suspension strokes and control inputs within bounds and ensuring a firm contact of wheels to road.

scholarly journals Adaptive neural network sliding mode control for active suspension systems with electrohydraulic actuator dynamics

2020 ◽  
Vol 17 (4) ◽  
pp. 172988142094198
Author(s):  
Jinwei Sun ◽  
Kai Zhao
Keyword(s):  
Neural Network ◽  
Sliding Mode ◽  
Active Suspension ◽  
Sliding Mode Controller ◽  
Adaptive Neural Network ◽  
Actuator Dynamics ◽  
Suspension Systems ◽  
Active Suspension Systems ◽  
Highly Nonlinear ◽  
Electrohydraulic Actuator

The object of this article is to design an observer-based adaptive neural network sliding mode controller for active suspension systems. A general nonlinear suspension model is established, and the electrohydraulic actuator dynamics are considered. The proposed controller is decomposed into two loops. Since the dynamics of the actuator is assumed highly nonlinear with uncertainties, the adaptive neural network is presented in the inner loop to ensure the control system robustness against uncertainties, and the self-tuning weighting vector is adjusted online according to the updated law obtained by Lyapunov stability theory. In the outer loop, a model reference sliding mode controller is developed to track the desired states of the hybrid reference model that combines skyhook and groundhook control methods. Besides, to obtain the unmeasured states of the system, an unscented Kalman filter is utilized to provide necessary information for the controller. Simulation results show that the exerted force can be tracked precisely even in the existence of uncertainties. Moreover, the proposed controller can improve the suspension’s performance effectively.

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