An Experimental Study on Friction Identification of a Pneumatic Actuator and Dynamic Modeling of a Proportional Valve

被引:0
作者
Lafmejani, Amir Salimi [1 ]
Masouleh, Mehdi Tale [2 ]
Kalhor, Ahmad [3 ]
机构
[1] Univ Tehran, Fac New Sci & Technol, Human & Robot Interact Lab, Tehran, Iran
[2] Univ Tehran, Human & Robot Interact Lab, Sch Elect & Comp Engn, Tehran, Iran
[3] Univ Tehran, Control & Intelligent Proc Ctr Excellence, Sch Elect & Comp Engn, Tehran, Iran
来源
2016 4TH RSI INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM) | 2016年
关键词
Pneumatic Actuator; Proportional Electrical Valve; Viscous Coefficient; Friction Force; Mass Flow Rate;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, the dynamic model of a pneumatic system which comprises a pneumatic actuator and a proportional directional electrical valve is derived. Accordingly, an experimental method is proposed to the end of modeling unknown parameters which are unmeasurable directly from the available pneumatic system. Friction force and viscous coefficient in dynamic equation of the actuator and mass flow rate in dynamic equations of electrical proportional valve are unknown parameters which are subject to be identified. The dynamic behavior of the unknown parameters are modeled by using exponential, polynomial and fourier series transform functions. Pressure of the pneumatic actuator and supply pressure are measured by the means of pressure sensors. Displacement encoder and IMU-GY80 sensor are employed to obtain the value of position and acceleration of the cylinder, respectively. Viscous coefficient is calculated in such a way that pneumatic force is not exerted which is based on the so-called Free-Fall test. By solving a second order differential equation of cylinder dynamics, viscous coefficient and Coulomb friction are obtained. Finally, the identified model is validated by comparing the state space variables of the pneumatic system measured by experimental tests and the identified model. From the experimental results, it has been revealed that the mean absolute percentage error for estimating the state variables are 19.94 (position), 26.78 (velocity), 0.78 (pressure 1) and 0.21 (pressure 2). The latter certifies the exactitude and performance of the identified dynamic model.
引用
收藏
页码:166 / 172
页数:7
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