A software tool development for pneumatic actuator system simulation and design

Lin-Chen, Y. Y.; Wang, J.

doi:10.1016/s0166-3615(03)00026-5

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…This integration can be considered as accomplished between three-dimensional (3D) computer-aided design (CAD), finite element method (FEM), computational fluid dynamics (CFD), and multibody (MB) dynamics analysis instruments. This kind of tool is already available in the majority of computer-aided engineering (CAE) packages and analyzed in greater detail in the literature (Guo et al, 2012; Hamri et al, 2010; Lee, 2005; Lin-Chen et al, 2003; Mocko and Feneves, 2003). A widely used technique is co-simulation between different time-domain lumped parameters simulation environments to simulate both control and under control system and interactions between complex multidomain systems (Albers and Ottnad, 2010; Changlin et al, 2008; Jing, 2009; Rui-guang et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Virtual prototyping through multisoftware integration for energy harvester design

Tornincasa

Bonisoli

Monaco

2013

Journal of Intelligent Material Systems and Structures

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A strong integration between different design tools is desirable to improve the work of engineers, reducing the number of errors and speeding up the design process. In this article, the authors present a strong integration between three-dimensional computer-aided design models and multidomain simulation applied to the design of a magnetomechanical energy harvester. A MATLAB framework controls a block-oriented Simulink model, drives the Finite Element Method Magnetic simulation and manages the updating of the SolidWorks computer-aided design models of the device. The parameters involved in the different simulations and in the computer-aided design models are stored in a unique data file. Moreover, constructive drawings are automatically updated and are immediately suitable for tolerance and design constraint checks and also for the effective prototyping of the device. Constructed prototypes are immediately suitable to validate the performance predicted by the model.

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Section: Introductionmentioning

confidence: 99%

Virtual prototyping through multisoftware integration for energy harvester design

Tornincasa

Bonisoli

Monaco

2013

Journal of Intelligent Material Systems and Structures

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“…Richer and Hurmuzlu in [1] provides a simplified model ignoring the effects of many nonlinearities. Lin-chen, et.al in [2] created models for individual components used in the system and tries creating simulation package software. Najafi, et.al in [3] developed pressure and volume flow rate models taking into account of cushioning effect.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Mathematical Modelling of Servo Pneumatic Positioning System

Saravanakumar

Mohan

2013

AMM

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Servo pneumatics is a mechatronic approach that enables accurate control of pneumatic drives which are widely used in automated systems. This technology can provide an alternative for less efficient electromechanical and high cost hydraulic systems. The main problem in the servo pneumatics is the fact that the variables associated with the system such as frictional forces, mass flow rate and pressure in the chambers, varies in nonlinear fashion. The paper presents nonlinear mathematical model for motion of cylinder, pressure in the cylinder chambers and mass flow rate from valve to cylinder are derived from basic gas laws and dynamics of the system. The equation for friction force based on LuGre model is also presented in the paper. Further, a nonlinear state space representation for the servo pneumatic positioning system is obtained. The developed model can be used to simulate the system response, which will help in choice of components used and also in the development of precise controller for the system.

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“…They reported that pneumatic systems are not only nonlinear, but also involve several tuning parameters. Line-Chen Y. et al [2] developed a software tool for pneumatic actuator.…”

Section: Introductionmentioning

confidence: 99%

Mixed-Reality Environment for Online System Identification of Nonlinear Systems

Ashraf¹,

Saber²,

Tarek³

2008

The International Conference on Applied Mechanics and Mechanica

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This paper presents a method to identify non-linear-systems in a real time environment. Acquiring the system's transfer function accurately could be extremely difficult once it has been assembled, which causes a great difficulty in the non-linear system modeling and control. Therefore in this research, Mixed Reality Environment (MRE) has been employed to identify the system's transfer function using Auto-Regressive Moving Average (ARMAX) model algorithm in order to avoid the complexity associated with nonlinear systems modeling. Online system identification can be conducted effectively and efficiently using the proposed method. The advantages of the proposed method are high accuracy in the identified system, simplicity, and low cost. The results obtained from on line experimental measured data are used to determine discrete transfer function of the system, 4th order model with one step prediction shows best performance.

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A software tool development for pneumatic actuator system simulation and design

Cited by 8 publications

References 11 publications

Virtual prototyping through multisoftware integration for energy harvester design

Virtual prototyping through multisoftware integration for energy harvester design

Nonlinear Mathematical Modelling of Servo Pneumatic Positioning System

Mixed-Reality Environment for Online System Identification of Nonlinear Systems

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