Control of pneumatic artificial muscle system through experimental modelling

被引:81
作者
Ganguly, Shameek [1 ]
Garg, Akash [2 ]
Pasricha, Akshay [1 ]
Dwivedy, S. K. [1 ]
机构
[1] Indian Inst Technol Guwahati, Dept Mech Engn, Gauhati 781039, India
[2] Indian Inst Technol Guwahati, Dept Civil Engn, Gauhati 781039, India
关键词
McKibben pneumatic actuator; Servo control; Pressure regulation; Empirical modelling; INTELLIGENT SWITCHING CONTROL;
D O I
10.1016/j.mechatronics.2012.09.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with position control of a single degree of freedom (sdof) manipulator actuated by Pneumatic Artificial Muscle (PAM) actuator. Though the compliance characteristics of these actuators are desirable, their inherent non-linearities due to compressibility of air and non-linear load-contraction characteristics make them difficult to model and design of controller becomes very complex. To overcome this, a novel method is hereby proposed to establish an accurate empirical model for the system. The quasi-static characteristics of the PAM are first modelled followed by the dynamic characteristics through spectral analysis. For cost competitiveness, the present work incorporates inexpensive on-off switching valves operated using a novel model based proportional pressure regulator developed using a modified PWM algorithm. Finally, a conventional PID position controller is extended using the empirical PAM model and an inner pressure regulation loop to achieve trajectory tracking of a sdof manipulator. Results for pressure regulation and position control confirm the effectiveness of the adopted approach in achieving performance comparable to the state-of-the-art results at a reduced control complexity and total set-up cost. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1135 / 1147
页数:13
相关论文
共 21 条
[1]   Intelligent switching control of pneumatic actuator using on/off solenoid valves [J].
Ahn, K ;
Yokota, S .
MECHATRONICS, 2005, 15 (06) :683-702
[2]   Intelligent switching control of a pneumatic muscle robot arm using learning vector quantization neural network [J].
Ahn, Kyoung Kwan ;
Nguyen, Huynh Thai Chau .
MECHATRONICS, 2007, 17 (4-5) :255-262
[3]  
[Anonymous], 8 PORT C AUT CONTR C
[4]  
[Anonymous], THESIS TU EINDHOVEN
[5]  
[Anonymous], 2004, J ROBOTICS MECHATRON
[6]  
[Anonymous], P 1 INT C APPL BION
[7]   Design and hybrid control of the pneumatic force-feedback systems for Arm-Exoskeleton by using on/off valve [J].
Chen Ying ;
Zhang Jia-fan ;
Yang Can-jun ;
Niu Bin .
MECHATRONICS, 2007, 17 (06) :325-335
[8]   Measurement and modeling of McKibben pneumatic artificial muscles [J].
Chou, CP ;
Hannaford, B .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1996, 12 (01) :90-102
[9]  
Delson N, 2005, 2005 12th International Conference on Advanced Robotics, P833
[10]   A Globally Stable, Load-Independent Pressure Observer for the Servo Control of Pneumatic Actuators [J].
Gulati, Navneet ;
Barth, Eric J. .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2009, 14 (03) :295-306