SOLUTION APPROACHES TO DIFFERENTIAL EQUATIONS OF MECHANICAL SYSTEM DYNAMICS: A CASE STUDY OF CAR SUSPENSION SYSTEM

The paper presents results of investigation of car suspension system dynamics. In this research the multibody (Multi Body System - MBS) system software MSC.Adams was used. ADAMS software (MSC.Software) is a commercial software to build a multibody structural models. Modular design allows for the usage of applications with different focuses, such as rail, aviation and motor vehicles. Models with a large number of freedom degrees of the components are built with mass concentrated on the assumption that the system is composed of a rigid (or deformable) bodies combined in a specific way (connection spherical, sliding, rotary), moving under the action of the forces and moments of different types (concentrated or distributed forces, the forces of contact). The complex multibody systems are automatically generated by the Lagrange equations of motion of the second kind in absolute coordinates. Integral procedures used to solve the differential-algebraic equations include multistep algorithms with variable row and a variable-and fixed-step and one-step algorithms. The Adams/Car module enables building and simulation-based examination of individual car subsystems such as, for instance, the suspension, steering or driving system as well as their combinations forming a complete car. The programme contains an extensive library of structural solutions applied in cars. The geometry and relationship data of individual components are stored in libraries, and software operation on a standard user level can be brought down to defining positions of constraints in space. The software is compatible with various CAD programmes, thus enabling import of elements created in other applications. The study was conducted for the vehicle model of Fiat Seicento. The examined system of the complete vehicle consists of 49 kinematic degrees of freedom. The article examined the impact of chosen parameters on vehicle vibration in an Adams Car Ride. Used in simulation Adams/Car /Ride module allows to test vehicle dynamics forcing the position of the plate of test stand . Virtual model of the vehicle is set on four servo-motors. They can control any excitation combination of individual actuators (dispalcement and amplitude, phase between extortion, etc.) and determine all kinds of vibration (vertical, lateral, angular). The study was conducted for selected parameters of the test rig.

Download Full-text

LQR and Fuzzy Controller Application with Bingham Modified Model in Semi Active Vibration Control of 11-DOFs Full Car Suspension System

PsycEXTRA Dataset ◽

10.1037/e527422013-006 ◽

2013 ◽

Author(s):

Seiyed Hamid Zareh ◽

Ali Fellahjahromi ◽

Reza Hayeri ◽

Amir A. A. Khayyat ◽

A. Zabihollah

Keyword(s):

Vibration Control ◽

Fuzzy Controller ◽

Active Vibration Control ◽

Suspension System ◽

Modified Model ◽

Car Suspension ◽

Active Vibration

Download Full-text

Impact to the second-handed housing price made by the government policies, based on the system dynamics and a case study of second-handed housing market of Beijing

Advances in Management Engineering and Information Technology ◽

10.2495/ameit140291 ◽

2015 ◽

Author(s):

Y.J. Huang ◽

H.C. An

Keyword(s):

System Dynamics ◽

Housing Market ◽

Housing Price ◽

Government Policies ◽

The Government

Download Full-text

System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽

10.3390/w13050671 ◽

2021 ◽

Vol 13 (5) ◽

pp. 671

Author(s):

Xiaoying Zhou ◽

Feier Wang ◽

Kuan Huang ◽

Huichun Zhang ◽

Jie Yu ◽

...

Keyword(s):

Resource Management ◽

System Dynamics ◽

Water Resource ◽

Water Allocation ◽

Water Resource Management ◽

Water Shortage ◽

Multiple Objective ◽

Multiple Objective Optimization ◽

Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

Download Full-text