Handbook of Vehicle Suspension Control Systems

2013 ◽  
Keyword(s):  
Control Systems ◽  
Vehicle Suspension ◽  
Suspension Control

Unknown System Dynamics Estimator for Active Vehicle Suspension Control Systems With Time-Varying Delay

2021 ◽  
pp. 1-11
Author(s):  
Yingbo Huang ◽  
Jiande Wu ◽  
Jing Na ◽  
Shichang Han ◽  
Guanbin Gao
Keyword(s):  
System Dynamics ◽  
Control Systems ◽  
Vehicle Suspension ◽  
Time Varying ◽  
Time Varying Delay ◽  
Suspension Control ◽  
Unknown System ◽  
Varying Delay

scholarly journals Adaptive Semi-Active Suspension and Cruise Control through LPV Technique

2020 ◽  
Vol 11 (1) ◽  
pp. 290
Author(s):  
Hakan Basargan ◽  
András Mihály ◽  
Péter Gáspár ◽  
Olivier Sename
Keyword(s):  
Control Systems ◽  
Active Suspension ◽  
Cruise Control ◽  
Linear Parameter Varying ◽  
Trade Off ◽  
Look Ahead ◽  
Vehicle Velocity ◽  
Suspension Control ◽  
Road Data ◽  
Terrain Characteristics

Several studies exist on topics of semi-active suspension and vehicle cruise control systems in the literature, while many of them just consider actual road distortions and terrain characteristics, these systems are not adaptive and their subsystems designed separately. This study introduces a new method where the integration of look-ahead road data in the control of the adaptive semi-active suspension, where it is possible to the trade-off between comfort and stability orientation. This trade-off is designed by the decision layer, where the controller is modified based on prehistorical passive suspension simulations, vehicle velocity and road data, while the behavior of the controller can be modified by the use of a dedicated scheduling variable. The adaptive semi-active suspension control is designed by using Linear Parameter Varying (LPV) framework. In addition to this, it proposes designing the vehicle velocity for the cruise controller by considering energy efficiency and comfort together. TruckSim environment is used to validate the operation of the proposed integrated cruise and semi-active suspension control system.

An enhanced adaptive neuro-fuzzy vehicle suspension control in different road conditions

2018 ◽  
Vol 7 (2) ◽  
pp. 701-712
Author(s):  
Mehdi Salehi ◽  
Gholamreza Bamimohamadi
Keyword(s):  
Vehicle Suspension ◽  
Neuro Fuzzy ◽  
Suspension Control

scholarly journals The use of Petri nets in the study of networked control systems

2019 ◽  
Author(s):  
S. Yuness ◽  
E.S. Lobusov
Keyword(s):  
Petri Nets ◽  
Control Systems ◽  
Communication Networks ◽  
Information Transfer ◽  
Network Performance ◽  
Networked Control Systems ◽  
Networked Control ◽  
Network Characteristics ◽  
Suspension Control ◽  
The Common

The use of communication networks in control systems has several important advantages, such as the ability of information transfer and remote control of various objects, the possibility of modifications and maintenance. On the other hand, the time between reading measurements from the sensor and sending a control signal to the actuator depends on the network characteristics (topology and routing scheme), and such a time delay can greatly affect the overall network performance. Delays, distortions and loss of transmitted data not only degrade the performance of the network management system, but also destabilize it. The paper considers the use of Petri nets as a method for modeling networked control systems (NCS) on the example of designing an active suspension control system for a car. When modeling, the star and common bus topologies were used, the comparison of which revealed that control systems with the common bus topology function 40% faster than systems with the star topology.

scholarly journals Active Vehicle Suspension with Anti-Roll System Based on Advanced Sliding Mode Controller

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5560
Author(s):  
Jarosław Konieczny ◽  
Marek Sibielak ◽  
Waldemar Rączka
Keyword(s):  
Ride Comfort ◽  
Sliding Mode ◽  
Synthesis Method ◽  
Active Suspension ◽  
Vehicle Suspension ◽  
Sliding Mode Controller ◽  
Energy Consumption Optimization ◽  
Suspension Control ◽  
Vertical Displacements ◽  
Linear Regulators

In the paper authors consider the active suspension of the wheeled vehicle. The proposed controller consists of a sliding mode controller used to roll reduction and linear regulators with quadratic performance index (LQRs) for struts control was shown. The energy consumption optimization was taken into account at the stage of strut controllers synthesis. The studied system is half of the active vehicle suspension using hydraulic actuators to increase the ride comfort and keeping safety. Instead of installing additional actuators in the form of active anti-roll bars, it has been decided to expand the active suspension control algorithm by adding extra functionality that accounts for the roll. The suggested algorithm synthesis method is based on the object decomposition into two subsystems whose controllers can be synthesized separately. Individual suspension struts are controlled by actuators that use the controllers whose parameters have been calculated with the LQR method. The mathematical model of the actuator applied in the work takes into account its nonlinear nature and the dynamics of the servovalve. The simulation tests of the built active suspension control system have been performed. In the proposed solution, the vertical displacements caused by uneven road surface are reduced by controllers related directly to suspension strut actuators.

A study of electric vehicle suspension control system based on an improved half-vehicle model

2007 ◽  
Vol 4 (3) ◽  
pp. 236-242 ◽  
Author(s):  
Jiang-Tao Cao ◽  
Hong-Hai Liu ◽  
Ping Li ◽  
David J. Brown ◽  
Georgi Dimirovski
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Vehicle Suspension ◽  
Vehicle Model ◽  
Suspension Control

Magnetic suspension control systems for the MBB high speed train

Automatica ◽  
1975 ◽  
Vol 11 (3) ◽  
pp. 271-284 ◽  
Author(s):  
E. Gottzein ◽  
B. Lange
Keyword(s):  
Control Systems ◽  
High Speed ◽  
Magnetic Suspension ◽  
High Speed Train ◽  
Suspension Control
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