scholarly journals Active Suspension with Model Predictive Control

2019 ◽  
Vol 8 (6) ◽  
pp. 2826-2831
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Active Suspension ◽  
Control Force ◽  
Handling Characteristics ◽  
Control Scheme ◽  
Suspension Model

This paper examines the performance of Model Predictive Control (MPC) scheme for an Active suspension. A vehicle suspension is designed to provide superior ride comfort and road handling characteristics. Unlike passive suspensions, the Active suspension can change the dynamic of suspension in real-time by injecting force into the system. MPC allows the active suspension to provide better and consistent passenger comfort and road handling capabilities for different road profile. Even though long back, the idea of active suspension conceived, the prohibitive cost and complexity restricted its usage. In recent years active suspension is receiving more and more attention with users preferring a high-end car. In an active suspension for the real-time adjustment of the control force, need a design of a controller. In literature, many controllers used such as Proportional Integral Derivative (PID), Linear Quadratic regulators (LQR), Fuzzy logic controller, Artificial Neural Networks (ANN). In this paper, revealed a model predictive control arrangement for Active suspension model. MPC is an optimal control scheme which uses a model of plant for predicting the future output. The control inputs are optimized such that these predicted outputs meet the desired level of performance. Tested the MPC control scheme is using a benchscale replica of Quarter active suspension model from QUANSER. To better appreciate the capabilities of the MPC Control Scheme, compared the performance of the active suspension with that of an LQR control scheme, and passive suspension.

scholarly journals Symmetry Control of Comfortable Vehicle Suspension Based on H∞

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 171
Author(s):  
Jiguang Hou ◽  
Xianteng Cao ◽  
Changshu Zhan
Keyword(s):  
Ride Comfort ◽  
Control Method ◽  
Output Feedback Control ◽  
Lyapunov Stability Theory ◽  
Active Suspension ◽  
Vehicle Body ◽  
Vertical Acceleration ◽  
Control Force ◽  
Traffic Conditions ◽  
Suspension Model

Suspension is an important part of intelligent and safe transportation; it is the balance point between the comfort and handling stability of a vehicle under intelligent traffic conditions. In this study, a control method of left-right symmetry of air suspension based on H∞ theory was proposed, which was verified under intelligent traffic conditions. First, the control stability caused by the active suspension control system running on uneven roads needs to be ensured. To address this issue, a 1/4 vehicle active suspension model was established, and the vertical acceleration of the vehicle body was applied as the main index of ride comfort. H∞ performance constraint output indicators of the controller contained the tire dynamic load, suspension dynamic stroke, and actuator control force limit. Based on the Lyapunov stability theory, an output feedback control law with H∞-guaranteed performance was proposed to constrain multiple targets. This way, the control problem was transformed into a solution to the Riccati equation. The simulation results showed that when dealing with general road disturbances, the proposed control strategy can reduce the vehicle body acceleration by about 20% and meet the requirements of an ultimate suspension dynamic deflection of 0.08 m and a dynamic tire load of 1500 N. Using this symmetrical control method can significantly improve the ride comfort and driving stability of a vehicle under intelligent traffic conditions.

Real-Time Control Algorithms for a Hybrid Electric Race Car Using a Two-Level Model Predictive Control Scheme

2017 ◽  
Vol 66 (12) ◽  
pp. 10911-10922 ◽  
Author(s):  
Mauro Salazar ◽  
Camillo Balerna ◽  
Philipp Elbert ◽  
Fernando P. Grando ◽  
Christopher H. Onder
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Control Algorithms ◽  
Real Time Control ◽  
Race Car ◽  
Time Control ◽  
Control Scheme ◽  
Level Model ◽  
Two Level Model

The Simulation and Experimental Study on a Novel Vehicle Active Suspension with Electro-Hydrostatic Actuator

2012 ◽  
Vol 430-432 ◽  
pp. 1984-1987
Author(s):  
Fa Rong Kou ◽  
Jian Ma ◽  
Ji Bai Wang
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Graph Model ◽  
Active Suspension ◽  
Hydraulic Cylinder ◽  
Bond Graph ◽  
Suspension System ◽  
Control Force ◽  
Passive Suspension

Actuator is a very important part of vehicle active control suspension. Based on the analyses of traditional passive suspension and active suspension system, a novel vehicle active suspension with Electro-Hydrostatic Actuator (EHA) is put forward. The system consists of two parts: spring and actuator with variable control force. The actuator includes hydraulic cylinder, hydraulic pump, controller, etc. According to bond graph principle, bond graph model of EHA active suspension are built. In addition, sky-hook controller and fuzzy logic controller are designed and sky-hook control and fuzzy control active suspension are simulated using MATLAB tools. The prototype and test rig of EHA active suspension are developed and bench tests are carried out. The simulation and experimental results show that sky-hook control and fuzzy control active suspension with EHA provide better ride comfort and stability than passive suspension system.

The Control Study of Vehicle Active Suspension with Electro-Hydrostatic Actuator

2011 ◽  
Vol 97-98 ◽  
pp. 716-720 ◽  
Author(s):  
Fa Rong Kou
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Graph Model ◽  
Active Suspension ◽  
Hydraulic Cylinder ◽  
Bond Graph ◽  
Control Force ◽  
Passive Suspension ◽  
System A

Actuator is the key to vehicle active suspension. Based on the analyses of traditional passive suspension and active suspension system, a novel vehicle active suspension with Electro-Hydrostatic Actuator (EHA) is put forward. The system consists of two parts: spring and actuator with variable control force. The actuator is made up of hydraulic cylinder, hydraulic pump, controller and BLDCM. According to bond graph principles, bond graph model of 2 DOF passive suspensions and bond graph model of EHA active suspension are built. Moreover, fuzzy logic controller is designed and fuzzy control active suspension is simulated using MATLAB tools. The prototype and test rig of EHA active suspension are developed and bench tests are carried out. The simulation and experimental results show that fuzzy control active suspension with EHA provides better ride comfort, handling and stability than passive suspension.

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