Vehicle Suspension Control Using Recurrent Neurofuzzy Wavelet Network

2015 ◽  
Vol 3 (0) ◽  
pp. 6 ◽  
Author(s):  
Shahid Qamar ◽  
Usman Khalid ◽  
M. Bilal Qureshi
Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5560
Author(s):  
Jarosław Konieczny ◽  
Marek Sibielak ◽  
Waldemar Rączka

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.


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

Author(s):  
Xubin Song ◽  
Dongpu Cao

Through the simulation study of a semiactive quarter car suspension, this paper is to expatiate on the control algorithm documented in the United States Patent 6,873,890 [1]. That patent presents a new method to design semiactive suspension controls in the frequency domain. As is well known, suspension related dynamics has two dominant modes in the working frequency range up to 25Hz. As such, the suspension dynamic system has three distinguishable frequency sections. In order to achieve better performance, different controls have to be applied to each frequency section, respectively. The significant core part of the patented algorithm is to provide an approach to identify the excited frequencies in real time that are transmitted through the vehicle suspension. Then different controls of such as skyhook, groundhook and other damping strategies are combined accordingly to accomplish the best performance overall. Thus through the suspension control the vehicle dynamics (such as ride and handling) is expected to be improved in the broad frequency range in comparison to passive suspensions with a trade-off design.


2013 ◽  
Vol 427-429 ◽  
pp. 1183-1186
Author(s):  
Hai Bo Zhang ◽  
Ying Chang ◽  
Rui Jun Zhang ◽  
Hong Yuan Fan

Reverse modeling of vehicle suspension control arm is studied. Firstly, the data of vehicle suspension control arm is acquired. Secondly, the scanning point cloud data is processed. Then 3D model of vehicle suspension control arm is reconstructed. Finally, models deviation is analyzed to find out the deficiencies and to improve the accuracy of the model. Reverse modeling based on CATIA can make up the shortage of traditional modeling method and solve the problem of gaining the data of complex curved surface parts. It also can shorten the innovation and improvement cycle of the vehicle suspension control arm and reduce the production cost and enhance enterprise competitiveness.


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